At EY, youll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And were counting on your unique voice and perspective to help EY become even better. Join us and build an exceptional experience for yourself, and a better working world for all. The exceptional EY experience. It's yours to build. EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. US Consulting - AI & Data - Data Architect, Industrials & Energy Sector Senior The opportunity EY is seeking a Data Architect with strong technology and data understanding having proven delivery capability. Lead the design, development, and management of the organizations data architecture, ensuring scalable, efficient, and secure data solutions that align with business goals and support enterprise-wide data initiatives. In this role, you will create, maintain, and support the data platform and infrastructure that enables the analytics front-end; this includes the testing, maintenance, construction, and development of architectures such as high-volume, large-scale data processing and databases with proper verification and validation processes. Your key responsibilities Design, develop, optimize, and maintain data architecture and pipelines that adheres to ETL principles and business goals Develop and maintain scalable data pipelines, build out new integrations using AWS native technologies to support continuing increases in data source, volume, and complexity Define data requirements, gather and mine large scale of structured and unstructured data, and validate data by running various data tools in the Big Data Environment Support standardization, customization and ad hoc data analysis and develop the mechanisms to ingest, analyse, validate, normalize, and clean data Write unit/integration/performance test scripts and perform data analysis required to troubleshoot data related issues and assist in the resolution of data issues Implement processes and systems to drive data reconciliation and monitor data quality, ensuring production data is always accurate and available for key stakeholders, downstream systems, and business processes Lead the evaluation, implementation and deployment of emerging tools and processes for analytic data engineering to improve productivity Develop and deliver communication and education plans on analytic data engineering capabilities, standards, and processes Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics Solve complex data problems to deliver insights that help achieve business objectives Implement statistical data quality procedures on new data sources by applying rigorous iterative data analytics Strong understanding & familiarity with all Hadoop Ecosystem components and Hadoop Administrative Fundamentals Strong understanding of underlying Hadoop Architectural concepts and distributed computing paradigms Skills and attributes for success Experience in the development of Hadoop APIs and MapReduce jobs for large scale data processing Hands-on programming experience in Apache Spark using SparkSQL and Spark Streaming or Apache Storm Hands on experience with major components like Hive, Spark, and MapReduce Experience working with NoSQL in at least one of the data stores - HBase, Cassandra, MongoDB Experienced in Hadoop clustering and Auto scaling Good knowledge in apache Kafka & Apache Flume Knowledge of Spark and Kafka integration with multiple Spark jobs to consume messages from multiple Kafka partitions Advanced experience and understanding of data/Big Data, data integration, data modelling, AWS, and cloud technologies Strong business acumen with knowledge of the Industrial Products sector is preferred, but not required Ability to build processes that support data transformation, workload management, data structures, dependency, and metadata Ability to build and optimize queries (SQL), data sets, 'Big Data' pipelines, and architectures for structured and unstructured data Experience with or knowledge of Agile Software Development methodologies. Demonstrated understanding and experience using: Data Engineering Programming Languages (i.e., Python) Distributed Data Technologies (e.g., Pyspark) Cloud platform deployment and tools (e.g., Kubernetes) Relational SQL databases DevOps and continuous integration AWS cloud services and technologies (i.e., Lambda, S3, DMS, Step Functions, Event Bridge, Cloud Watch, RDS) Databricks/ETL IICS/DMS GitHub Event Bridge, Tidal To qualify for the role you must have Flexible and proactive/self-motivated working style with strong personal ownership of problem resolution Excellent communicator (written and verbal formal and informal) Ability to multi-task under pressure and work independently with minimal supervision. Partner with Business Analytics and Solution Architects to develop technical architectures for strategic enterprise projects and initiatives Coordinate with Data Scientists to understand data requirements, and design solutions that enable advanced analytics, machine learning, and predictive modelling Support Data Scientists in data sourcing and preparation to visualize data and synthesize insights of commercial value Collaborate with AI/ML engineers to create data products for analytics and data scientist team members to improve productivity Advise, consult, mentor and coach other data and analytic professionals on data standards and practices, promoting the values of learning and growth Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions Ideally, youll also have Experience in leading and influencing teams, with a focus on mentorship and professional development A passion for innovation and the strategic application of emerging technologies to solve real-world challenges The ability to foster an inclusive environment that values diverse perspectives and empowers team members FY25CH What we offer We offer a comprehensive compensation and benefits package where youll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $105,800 to $174,800. The salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $127,100 to $198,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. Under our flexible vacation policy, youll decide how much vacation time you need based on your own personal circumstances. Youll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being. Continuous learning: Youll develop the mindset and skills to navigate whatever comes next. Success as defined by you: Well provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership: Well give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture: Youll be embraced for who you are and empowered to use your voice to help others find theirs. EY accepts applications for this position on an on-going basis. If you can demonstrate that you meet the criteria above, please contact us as soon as possible. EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. For those living in California, please click here for additional information. EY is an equal opportunity, affirmative action employer providing equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EYs Talent Shared Services Team (TSS) or email the TSS at ssc.customersupportey.com

At EY, youll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And were counting on your unique voice and perspective to help EY become even better. Join us and build an exceptional experience for yourself, and a better working world for all. The exceptional EY experience. It's yours to build. EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. The opportunity Our Data and Analytics team helps apply cutting-edge technology and techniques to bring solutions to our clients. As part of that, youll sit side-by-side with clients and diverse teams from EY to create a well-rounded approach to advising and solving challenging problems (some that have not been solved before). No two days will be the same, and, with constant research and development, youll find yourself building knowledge that can be applied across a wide range of projects now and in the future. This is a high-growth area with plenty of opportunities to enhance your skill set and build your career. Your key responsibilities We are searching for an experienced and dynamic Senior Clinical Trial Developer and Modeler to join our team. The successful candidate will be primarily responsible for conceptualizing, developing, and optimizing clinical trial designs and predictive models with our clients. You will help them streamline clinical trial processes, and ensure Clinical Research methods are efficient, cost-effective, and meet the highest standards of accuracy and validity. There is no such thing as a typical day. You will run multiple client engagement teams, work with a wide variety of clients to help them navigate the complex world of advanced analytics. Well look to you to provide our clients with a unique business perspective on how advanced analytics can transform and improve their entire organization starting with the key business issues they face. Skills and attributes for success Fostering relationships with client personnel at appropriate levels. Consistently running and delivering quality client services. Driving high-quality work products within expected time frames and on budget. Monitoring progress, managing risk and confirming that key stakeholders are kept informed about progress and expected outcomes. Managing expectations of client service delivery. Staying abreast of current business and industry trends relevant to the client's business. Effectively managing and motivating client engagement teams with diverse skills and backgrounds. Providing constructive on- the- job feedback/coaching to team members. Fostering an innovative and inclusive team-oriented work environment. Playing an active role in the counselling and mentoring of junior consultants within the organization. Developing and maintaining long-term client relationships and networks. Partnering with information architecture to build logical/canonical and physical data models aligned with conceptual data models Develop, organize, and manage clinical trial protocols, including study design, selection criteria, and protocol writing. Perform statistical modeling and simulation to optimize clinical trial designs. Implement advanced statistical methods to analyze, interpret, and visualize complex clinical data. Collaborate with clinical and research leaders to understand data needs and apply appropriate methodologies. Assess the feasibility of proposed clinical trials based on statistical modeling. Apply innovative strategies to manage missing data, model selection, and validation. Provide statistical expertise and guidance to clinical teams and stakeholders. Ensure all clinical trial activities comply with regulatory standards. Prepare comprehensive reports of clinical trial results, and present findings to stakeholders. Keep abreast of new trends and advancements in the field of clinical trials and statistical modeling. To qualify for the role you must have A bachelor's degree and approximately five years of related work experience; or a graduate degree in the same and approximately four years of related work experience. Deep knowledge of Life Sciences Research and Early Discovery (R&ED ) data & analytics in Target Screening, Lead Optimization, Vaccines, Lab Dry & Wet, Instrumentation, LIMS, CMC and other relevant areas Strong Life Sciences R&ED Data Information Architecture Development Functional and Technical experience Proven experience as Clinical Trial Developer researcher or a relevant role, preferably in a senior position. Proficiency in statistical modeling and clinical trial design. Experience with statistical analysis software (SAS, R, Python, etc.). Excellent understanding of clinical trial regulatory and submission processes. Familiarity with clinical trial data management systems. Strong analytical thinking and problem-solving skills. Excellent written and verbal communication skills. Knowledge of industry standards like CDISC SDTM, ADaM, and Define-XML. Ability to work both independently and as part of a team. A minimum of four years experience providing consulting services with a strategic focus in helping clients achieve transformational value by improving performance through the use of data and analytics solutions. A willingness to travel to meet client needs. A valid drivers license in the US Ideally, youll also have Master's or PhD in Biostatistics, Statistics, Mathematics, or a related field. Experience with big data platforms and cloud (Snowflake, AWS, Azure, etc) Experience with data and systems architecture (APIs, messaging, etc.) Experience with master data management and data governance Experience with data visualization tools such as Power BI and Tableau. What we look for Were interested in passionate leaders with strong vision and a desire to stay on top of trends in the analytics industry. If you have a genuine passion for helping businesses achieve the full potential of their data, this role is for you. What we offer We offer a comprehensive compensation and benefits package where youll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $124,300 to $227,900. The salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $149,200 to $259,000. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. Under our flexible vacation policy, youll decide how much vacation time you need based on your own personal circumstances. Youll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being. Continuous learning: Youll develop the mindset and skills to navigate whatever comes next. Success as defined by you: Well provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership: Well give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture: Youll be embraced for who you are and empowered to use your voice to help others find theirs. EY accepts applications for this position on an on-going basis. If you can demonstrate that you meet the criteria above, please contact us as soon as possible. EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. For those living in California, please click here for additional information. EY is an equal opportunity, affirmative action employer providing equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EYs Talent Shared Services Team (TSS) or email the TSS at ssc.customersupportey.com

Senior Data Architect (Principal Enterprise Architect) - Remote R0038318 We are looking for a Senior Data Architect (Principal Enterprise Architect) to collaborate with different divisions and create a coalition/task force to reverse engineer products and look for inefficiencies. As a Senior Data Architect (Principal Enterprise Architect), you will partner with several teams to look for performance improvement opportunities, stabilize multiple products and give constructive input to develop a long-term relationship and partnering. Provide expertise in deploying an organization's data architecture. This is a remote role and will report to the Director, Database Analysis & Development and under the leadership of the VP, IT Infrastructure & Operations. LI-Remote Required Job Qualifications (Minimum): Experience: 5- 7 years of experience of hands-on experience as an Enterprise Architect, Principal Engineer, or similar role for large-scale enterprise solutions using agile practices. Experience with both development and infrastructure efforts in a large matrix organization. 10 years of experience Architecting on Azure 5 years of proven experience in application architecture, Cloud Solutions with emerging technologies, Big Data, Data Modeling, Data Architecture, Data Warehousing and Business Intelligence. Experience with provisioning and managing infrastructure and applications in Azure environments. Expert in reverse engineering database code for performance tuning. Demonstrate an advance ability to manage large datasets, cloud computing, open-source tools, and optimization techniques. Understanding of modern data architecture and experience with core data services like maintaining data lakes, data warehouses, data marts and relational and dimensional modeling, data quality and master data management. Experience designing data architectures to define and deliver data as an asset. Experience in Dimensional Modeling (Star Schema, OLAP Cubes, and Bus Matrix Mapping) Experience with the design, deployment, and evaluation of tools, frameworks, and patterns to build scalable data platforms. Experienced industry-leading data infrastructure technologies and end user tools. Experience troubleshooting data issues and identifying causes of performance bottlenecks. Experience with SQL Server databases, Oracle, Postgres, MySQL relational data models and best practice architectural concepts. SQL development skills using SQL, T-SQL, PL/SQL, stored procedures Experience with Agile software development Experience with Azure DevOps (ADO) or Jira Must be legally authorized to work in the USA. Other Qualifications (preferences): Experience: 3 years of experience creating high-quality data pipelines. 3 years of experience bringing people together across teams to collaborate on solutions. 3 years of experience growing people and teams through modeling, coaching, and demonstrating care. Working knowledge of Azure data platform data factory, data catalogs, data lake, analytics, Azure storage options, Azure SQL, Cosmos DB, Azure DevOps, etc. Education : Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6 years experience in business analytics, data science, software development, data modeling or data engineering work Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4 years experience in business analytics, data science, software development, data modeling or data engineering work OR equivalent experience. Azure: Architecture Certifications Essential Responsibilities: You will develop data architecture principles, creates models of data that enable the implementation of the intended business architecture, creates diagrams showing important data entities, and creates an inventory of the data needed to implement the architecture vision. Expresses strategic data requirements, outlines high-level integrated designs to meet these requirements, and aligns with enterprise strategy and related business architecture. Define how data are managed by different data entities and IT systems, and any applications using or processing that data. Provide guidance for infrastructure and software architecture and planning. Identify and guide development of data standards. Additional Information: Wolters Kluwer offers great benefits and programs to help meet your needs and balance your work and personal life, including: Medical, Dental, & Vision Plans, 401(k), FSA/HSA, Commuter Benefits, Tuition Assistance Plan, Vacation and Sick Time, and Paid Parental Leave . Full details of our benefits are available - https://www.mywolterskluwerbenefits.com/index.html Wolters Kluwer (EURONEXT: WKL) is a global leader in professional information, software solutions, and services for the healthcare, tax and accounting, financial and corporate compliance, legal and regulatory, and corporate performance and ESG sectors. We help our customers make important decisions every day by providing expert solutions that combine deep domain knowledge with specialized technology and services. Wolters Kluwer reported 2022 annual revenues of 5.5 billion. The group serves customers in over 180 countries, maintains operations in over 40 countries, and employs approximately 20,000 people worldwide. We are headquartered in Alphen aan den Rijn, the Netherlands. Ranked by Forbes Magazine as among Americas Best Large Employers for 2022 - 84 . Wolters Kluwer secures 2nd place in Newsweek's Most Trustworthy Companies List 2023 CEO Nancy McKinstry ranked 16th by Harvard Business Review of the best performing CEOs in the World. WK 1 for gender equality in the workplace in the Netherlands & 47 worldwide for 2023 . Diversity Matters Wolters Kluwer strives for an inclusive company culture in which we attract, develop, and retain diverse talent to achieve our strategy. As a global company, having a diverse workforce is of the utmost importance. We've been recognized by employees as a European Diversity Leader in the Financial Times, as one of Forbes Americas Best Employers for Diversity in 2022, 2021 and 2020 and as one of Forbes Americas Best Employers for Women in 2021, 2020, 2019 and 2018. In 2020, we placed third in the Female Board Index, and were recognized by the European Women on Boards Gender Diversity Index. Wolters Kluwer and all of our subsidiaries, divisions and customer/departments is an Equal Opportunity / Affirmative Action employer. The above statements are intended to describe the general nature and level of work being performed by most people assigned to this job. Theyre not intended to be an exhaustive list of all responsibilities and requirements. The job description provided is subject to revision and modification at any time. EQUAL EMPLOYMENT OPPORTUNITY Wolters Kluwer U. S. Corporation and all of its subsidiaries, divisions and customer/business units is an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

Job Description: A Data Architect is responsible for designing relational and dimensional databases. The Data Architect applies relational theory and business process analysis to the development of logical data models and converts these logical models into physical database objects using data modeling CASE tools. The position develops and implements enterprise-level strategies and principles for the integration of enterprise information resources by defining corporate standards for data architecture, format, quality, and database design. The Data Architect is also responsible for the design, development, and implementation of ETL processes. The Senior Level Data Architect independently manages projects that are moderate to large in complexity. Also responsible for the mentoring of junior staff and the validating of the analysis, models, and data conversion and quality assurance processes of junior data architects. The Senior Data Architect provides input and leadership to help define best practices and standards in database design and business intelligence solutions. Works closely with leadership and customers at the corporate level of the organization to develop integrated and standardized business intelligence solutions. Job Essentials Records detailed logical and physical data models in the information repository and coordinates the publication and maintenance of these models. Ensures appropriate integration of models and designs across the enterprise. Facilitates database design sessions and translates business requirements into logical and physical system designs for moderate to large complex projects. Leads the physical database design and implementation process for moderate to largely complex projects. Designs the optimal data presentation environment for the customer and works with various reporting tools. Coordinates with specific database performance monitoring and tuning tasks including the design of optimization and indexing schemes for moderate to large complex projects. Develops, tests and implements moderately complex ETL (extract, transformation, and load) routines. Documents business requirements and essential functionality requirements for in-house developments and the selection of third-party applications. Assists in leading the effort to ensure proper integration with existing Intermountain data, standards, and business processes. Provides leadership for moderate to large complex projects through development of project work plans, recommendations for optimal utilization of resources, milestone tracking, and coordination of project team efforts. Keeps management and customers informed of progress and exceptions. Leads the development and implementation of system backup, recovery, and support plans. Addresses the customer needs, manages expectations and ensures system-wide integration. Participates in the technical review process of designs completed by other designers and serves as a mentor to junior designers. Develops, documents, and delivers complex ad-hoc queries of production data as requested by business users. Consults with the business users that are performing queries. Works effectively with clients and staff to determine needs, specifications, feasibility, and project priorities. Maintains advanced understanding of industry application development methodologies, tools and techniques. Leads the definition of and subsequently follows enterprise and department-specific standards and methodologies. Leads projects and understands the differences between On-line Transaction Processing and Decision Support systems and how to appropriately support the requirements and environments for each. Minimum Qualifications Bachelor's degree. Degree must be obtained through an accredited institution. Education is verified. 3-5 years experience in database design, development, and business intelligence technologies. Advanced knowledge of SQL (structured query language). Demonstrated high degree of flexibility and motivation in an aggressively changing environment. Demonstrated interpersonal communication skills to promote and advance business intelligence in collaboration with our customers. Demonstrated project management skills, customer service skills, as well as demonstrated organizational skills. Demonstrated ability to deal with highly sensitive and confidential material and adher to data security and confidentiality protocols and procedures. Demonstrated knowledge of healthcare concepts including patient care and healtcare financing. Demonstrated knowledge of basic information used in a healthcare environment and how the data is produced, consumed and transformed. Demonstrated knowledge of advanced data warehousing concepts. Preferred Qualifications Experience with Databricks, Apache Spark, and Delta Lake for real-time and batch data processing. Proficiency in data streaming technologies such as AWS Kinesis or Azure Event Hubs. Experience working with APIs to retrieve and integrate data from external systems. Experience developing APIs to provide data as a product. Familiarity with programming languages such as Python and PySpark for data engineering tasks. Strong knowledge of ETL/ELT processes and tools, including both traditional (e.g., SSIS, Informatica) and cloud-native solutions (e.g., Azure Data Factory, Databricks). Excellent communication skills for collaborating with stakeholders and teams. Physical Requirements: Location: SelectHealth - Murray Work City: Murray Work State: Utah Scheduled Weekly Hours: 40 The hourly range for this position is listed below. Actual hourly rate dependent upon experience. $53.58 - $84.36 We care about your well-being mind, body, and spirit which is why we provide our caregivers a generous benefits package that covers a wide range of programs to foster a sustainable culture of wellness that encompasses living healthy, happy, secure, connected, and engaged. Learn more about our comprehensive benefits packages for our Idaho, Nevada, and Utah based caregivers (https://intermountainhealthcare.org/careers/working-for-intermountain/employee-benefits/) , and for our Colorado, Montana, and Kansas based caregivers (http://www.sclhealthbenefits.org) ; and our commitment to diversity, equity, and inclusion (https://intermountainhealthcare.org/careers/working-for-intermountain/diversity/) . Intermountain Health is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. All positions subject to close without notice.

Our not-so-secret sauce. Award-winning, inclusive, Top Workplace culture doesnt happen overnight. Its a result of hard work by extraordinary people. More than 11,000 of the industrys brightest talent drive our efforts to deliver purposeful work and meaningful impact every day. Learn more about what makes us different and how you can thrive as a Senior Data Architect at Marsh McLennan Agency (MMA). MMA provides business insurance, employee health & benefits, retirement, and private client insurance solutions to organizations and individuals seeking limitless possibilities. With 200 offices across North America, we combine the personalized service model of a local consultant with the global resources of the worlds leading professional services firm, Marsh McLennan (NYSE: MMC). A day in the life. As a Senior Data Architect on the Data team, youll establish consistent data standards, reference architectures, patterns, and practices across the organization for both OLTP and OLAP (Data warehouse, Data Lake house) MDM and AI/ML technologies. You will define reference data architecture and work with agile teams to ensure the documented best practices are used in data platform development. Additionally, youll create strategies and design solutions for a wide variety of use cases like Data Migration (end-to-end ETL process), database optimization, and data architectural solutions for Analytics Data Projects. You will also design, develop, and troubleshoot highly complex technical problems in OLAP/OLTP/DW, Analytics, and provide solutions for Enterprise-level Applications utilizing Azure Data Platform. Our future colleague. Wed love to meet you if your professional track record includes these skills: 10 or more years of experience in Information Technology. 5 to 10 years of experience in Enterprise data architecture, Data, Modelling, Data management and Data strategy 5 to 7 years of experience in Cloud database technologies. 7 to 10 years of experience as a data architect Solid understanding of databases and the strengths and weaknesses of platforms and products, with the ability to provide a trusted voice at the decision-making table Expertise in creating ER (Entity Relationship), Logical, Physical, and Conceptual data models for an enterprise Experience in data modeling, streaming skills, and data architecture for operational and analytical datastores Proficiency in the design of batch and streaming data ingestion Knowledge in designing solutions with Data Quality, Data Lineage, and Data Catalogs Experience with solving performance challenges for a variety of velocities, latencies, and volumes of data Designing and maintaining the data models, including conceptual, logical, and physical data models Experience with SOA data layer utilizing data access frameworks and exposing data via web services Experience with Business Intelligence and data mart architecture Experience creating a data architecture vision between lines of business and IT Demonstrated competency in communicating the value of data architecture to stakeholders and senior management Experience in SDLC processes, database patterns, and development frameworks Strong interpersonal, verbal, and written communication skills, with the ability to develop and conduct executive-level presentations Experience crafting solutions that leverage data in NoSQL and SQL datastores for high availability and disaster tolerance Preferred experience with Kubernetes, Cloud Native ecosystem, and Data Lake/Data Warehouse technologies Deep expertise in Data engineering capabilities involving architecture, modeling (physical and logical), data governance, storage, security, resilience, and replication Knowledge of Informatica IICS task flows development and maintenance Experience with MongoDB or another NoSQL database, PostgreSQL, or any relational database Experience with Azure, Data Lake, Databricks, SQL, ETL, and MDM Experience with data integration services such as Azure Data Factory Experience with business intelligence tools; Power BI or Qlik is preferred Experience in designing and building large-scale, enterprise systems in a highly available, scalable, performant, and distributed environment These additional qualifications are a plus, but not required to apply: Knowledge of Agency Management systems like Applied EPIC and Vertafore Sagitta, Benefit Point Microsoft Azure Data Engineer or other cloud certifications Data bricks experience and certification We know there are excellent candidates who might not check all of these boxes. Dont be shy. If youre close, wed be very interested in meeting you. Valuable benefits. We value and respect the impact our colleagues make every day both inside and outside our organization. Weve built a culture that promotes colleague well-being through robust benefit programs and resources, encourages professional and personal development, and celebrates opportunities to pursue the projects and causes that give colleagues fulfillment outside of work. Some benefits included in this role are: Generous time off, including personal and volunteering Tuition reimbursement and professional development opportunities Remote work Charitable contribution match programs Stock purchase opportunities To learn more about a career at MMA, check us out online: http://marshmma.com/careers or flip through our recruiting brochure: https://bit.ly/3Qpcjmw Follow us on social media to meet our colleagues and see what makes us tick: https://www.instagram.com/lifeatmma/ https://www.facebook.com/LifeatMMA https://www.linkedin.com/company/marsh-mclennan-agency/ The applicable base salary range for this role is $104,580 to $183,015. The base pay offered will be determined on factors such as experience, skills, training, location, certifications, education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives. We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings, and other wellbeing programs as well as employee assistance programs. Applications will be accepted until 11/30/2024 Who you are is who we are. We embrace a culture that celebrates and promotes the many backgrounds, heritages, and perspectives of our colleagues and clients. We are always seeking those with ethics, talent, and ambition who are interested in joining our client-focused teams. Marsh McLennan and its affiliates are EOE Minority/Female/Disability/Vet/Sexual Orientation/Gender Identity employers.

Data Architect Jobs in Roland, AR

Data Architect Industrials Energy Sector Senior Consulting Location Open
November 3, 2024

Data Architect Life Sciences Sector Manager Consulting Location Open
November 1, 2024

Senior Data Architect Principal Enterprise Architect Remote
October 31, 2024

Data Architect
October 31, 2024

Senior Data Architect
October 31, 2024

Quick filters

Top companies

Data Architect Jobs in Roland, AR

Data Architect Industrials Energy Sector Senior Consulting Location OpenNovember 3, 2024

Data Architect Life Sciences Sector Manager Consulting Location OpenNovember 1, 2024

Senior Data Architect Principal Enterprise Architect RemoteOctober 31, 2024

Data ArchitectOctober 31, 2024

Senior Data ArchitectOctober 31, 2024