<div>
Our not-so-secret sauce.
Award-winning, inclusive, Top Workplace culture doesn’t happen overnight. It’s a result of hard work by extraordinary people. More than 11,000 of the industry’s 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 world’s leading professional services firm, Marsh McLennan (NYSE: MMC).
A day in the life.
As a Senior Data Architect on the Data team, you’ll 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, you’ll 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.
We’d love to meet you if your professional track record includes these skills:
<ul>
<li>10+ or more years of experience in Information Technology.</li>
<li>5 to 10 years of experience in Enterprise data architecture, Data Modelling, Data management, and Data strategy.</li>
<li>5 to 7 years of experience in Cloud database technologies.</li>
<li>7 to 10 years of experience as a data architect.</li>
<li>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.</li>
<li>Expertise in creating ER (Entity Relationship), Logical, Physical, and Conceptual data models for an enterprise.</li>
<li>Experience in data modeling, streaming skills, and data architecture for operational and analytical datastores.</li>
<li>Proficiency in the design of batch and streaming data ingestion.</li>
<li>Knowledge in designing solutions with Data Quality, Data Lineage, and Data Catalogs.</li>
<li>Experience with solving performance challenges for a variety of velocities, latencies, and volumes of data.</li>
<li>Designing and maintaining the data models, including conceptual, logical, and physical data models.</li>
<li>Experience with SOA data layer utilizing data access frameworks and exposing data via web services.</li>
<li>Experience with Business Intelligence and data mart architecture.</li>
<li>Experience creating a data architecture vision between lines of business and IT.</li>
<li>Demonstrated competency in communicating the value of data architecture to stakeholders and senior management.</li>
<li>Experience in SDLC processes, database patterns, and development frameworks.</li>
<li>Strong interpersonal, verbal, and written communication skills, with the ability to develop and conduct executive-level presentations.</li>
<li>Experience crafting solutions that leverage data in NoSQL and SQL datastores for high availability and disaster tolerance.</li>
<li>Preferred experience with Kubernetes, Cloud Native ecosystem, and Data Lake/Data Warehouse technologies.</li>
<li>Deep expertise in Data engineering capabilities involving architecture, modeling (physical and logical), data governance, storage, security, resilience, and replication.</li>
<li>Knowledge of Informatica – IICS task flows development and maintenance.</li>
<li>Experience with MongoDB or another NoSQL database, PostgreSQL, or any relational database.</li>
<li>Experience with Azure, Data Lake, Databricks, SQL, ETL, and MDM.</li>
<li>Experience with data integration services such as Azure Data Factory.</li>
<li>Experience with business intelligence tools; Power BI or Qlik is preferred.</li>
<li>Experience in designing and building large-scale, enterprise systems in a highly available, scalable, performant, and distributed environment.</li>
</ul>
These additional qualifications are a plus, but not required to apply:
<ul>
<li>Knowledge of Agency Management systems like Applied EPIC and Vertafore Sagitta, Benefit Point.</li>
<li>Microsoft Azure Data Engineer or other cloud certifications.</li>
<li>Data bricks experience and certification.</li>
</ul>
We know there are excellent candidates who might not check all of these boxes. Don’t be shy. If you’re close, we’d 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. We’ve 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:
<ul>
<li>Generous time off, including personal and volunteering.</li>
<li>Tuition reimbursement and professional development opportunities.</li>
<li>Remote work.</li>
<li>Charitable contribution match programs.</li>
<li>Stock purchase opportunities.</li>
</ul>
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:
<ul>
<li>https://www.instagram.com/lifeatmma/</li>
<li>https://www.facebook.com/LifeatMMA</li>
<li>https://www.linkedin.com/company/marsh-mclennan-agency/</li>
</ul>
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 well-being 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.
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At EY, you’ll 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 we’re 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.<h3>The opportunity</h3>Our Data and Analytics team helps apply cutting-edge technology and techniques to bring solutions to our clients. As part of that, you’ll 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, you’ll 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.<h3>Your key responsibilities</h3>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. We’ll 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.<h3>Skills and attributes for success</h3><ol><li>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.</li><li>Monitoring progress, managing risk and confirming that key stakeholders are kept informed about progress and expected outcomes.</li><li>Managing expectations of client service delivery.</li><li>Staying abreast of current business and industry trends relevant to the client's business.</li><li>Effectively managing and motivating client engagement teams with diverse skills and backgrounds. Providing constructive on-the-job feedback/coaching to team members.</li><li>Fostering an innovative and inclusive team-oriented work environment. Playing an active role in the counselling and mentoring of junior consultants within the organization.</li><li>Developing and maintaining long-term client relationships and networks.</li><li>Partnering with information architecture to build logical/canonical and physical data models aligned with conceptual data models.</li><li>Develop, organize, and manage clinical trial protocols, including study design, selection criteria, and protocol writing.</li><li>Perform statistical modeling and simulation to optimize clinical trial designs.</li><li>Implement advanced statistical methods to analyze, interpret, and visualize complex clinical data.</li><li>Collaborate with clinical and research leaders to understand data needs and apply appropriate methodologies.</li><li>Assess the feasibility of proposed clinical trials based on statistical modeling.</li><li>Apply innovative strategies to manage missing data, model selection, and validation.</li><li>Provide statistical expertise and guidance to clinical teams and stakeholders.</li><li>Ensure all clinical trial activities comply with regulatory standards.</li><li>Prepare comprehensive reports of clinical trial results, and present findings to stakeholders.</li><li>Keep abreast of new trends and advancements in the field of clinical trials and statistical modeling.</li></ol><h3>To qualify for the role you must have</h3><ol><li>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.</li><li>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.</li><li>Strong Life Sciences R&ED Data Information Architecture Development – Functional and Technical experience.</li><li>Proven experience as Clinical Trial Developer researcher or a relevant role, preferably in a senior position.</li><li>Proficiency in statistical modeling and clinical trial design.</li><li>Experience with statistical analysis software (SAS, R, Python, etc.).</li><li>Excellent understanding of clinical trial regulatory and submission processes.</li><li>Familiarity with clinical trial data management systems.</li><li>Strong analytical thinking and problem-solving skills.</li><li>Excellent written and verbal communication skills.</li><li>Knowledge of industry standards like CDISC SDTM, ADaM, and Define-XML.</li><li>Ability to work both independently and as part of a team.</li><li>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.</li><li>A willingness to travel to meet client needs. A valid driver’s license in the US.</li></ol><h3>Ideally, you’ll also have</h3><ol><li>Master's or PhD in Biostatistics, Statistics, Mathematics, or a related field.</li><li>Experience with big data platforms and cloud (Snowflake, AWS, Azure, etc).</li><li>Experience with data and systems architecture (APIs, messaging, etc.)</li><li>Experience with master data management and data governance.</li><li>Experience with data visualization tools such as Power BI and Tableau.</li></ol><h3>What we look for</h3>We’re 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.<h3>What we offer</h3>We offer a comprehensive compensation and benefits package where you’ll 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, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll 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.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.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.
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Specialty/Competency: Data, Analytics & AI

Industry/Sector: EUR X-Sector

Time Type: Full time

Travel Requirements: Up to 80%

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.

Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member’s unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

Analyse and identify the linkages and interactions between the component parts of an entire system.

Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.

Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.

Develop skills outside your comfort zone, and encourage others to do the same.

Effectively mentor others.

Use the review of work as an opportunity to deepen the expertise of team members.

Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.

Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.

Minimum Degree Required

Bachelor's Degree

Required Field(s) of Study

Management Information Systems, Computer and Information Science, Systems Engineering,Electrical Engineering,Chemical Engineering,Industrial Engineering,Mathematics,Statistics,Mathematical Statistics

Minimum Year(s) of Experience

5 year(s)

Preferred Qualifications

Demonstrates abilities and/or success in one or many of the following areas:

Design and implement comprehensive data architecture strategies that meet current and future business needs;

Develop and document data models, data flow diagrams, and data architecture guidelines;

Ensure data architecture is compliant with data governance and data security policies;

Collaborate with business stakeholders to understand their data requirements and translate them into technical solutions;

Evaluate and recommend new data technologies and tools to enhance data architecture;

Evaluate data and technology architecture options and build case for change across architecture principles like Security, Reliability, Scalability, Maintainability, Automation and Cost management;

Lead and drive data strategy engagements providing thought leadership to client and internal tech stakeholders and leadership;

Develop leading practices and perspectives for Data Engineering, Data Science, and Data Governance and Data Management

Lead the implementation of cloud-based solutions, ensuring they meet the specified requirements and best practices across batch, real-time, structured, semi-structured and unstructured datasets;

Architect, design, build and optimize ETL/ELT pipelines for data ingestion, processing, and storage;

Develop and deploy scalable data storage solutions using AWS, Azure and GCP services such as S3, Redshift, RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, GCP Cloud Storage etc.;

Architect & Implement data integration solutions using AWS Glue, AWS Lambda, Azure Data Factory, Azure Functions, GCP Functions, GCP Dataproc, Dataflow and other relevant services;

Architect, Design and implement data warehouses and data lakes, ensuring data is organized and accessible;

Develop frameworks for monitoring and troubleshooting data pipelines, data warehouses and workflows to ensure data quality, system reliability, performance and cost management;

Architect and oversee implementation of IAM roles and policies to manage access and permissions within AWS, Azure, GCP;

Develop automation strategies leveraging AWS CloudFormation, Azure Resource Manager templates, Terraform for infrastructure as code (IaC) deployments;

Architect and implement services using AWS, Azure and GCP DevOps services to build and deploy DevOps pipelines;

Develop data security best practices using AWS, Azure, GCP, Snowflake or Databricks;

Optimize Cloud resources for cost, performance, and scalability;

Strong proficiency in SQL and experience with relational databases;

Proficient in programming languages such as Python, Java, or Scala;

Familiarity with big data technologies like Hadoop, Spark, or Kafka is a plus;

Experience with machine learning and data science workflows is a plus;

Knowledge of data governance and data security best practices;

Strong analytical, problem-solving, and communication skill; and,

Ability to work independently and as part of a team in a fast-paced environment.

Demonstrates thought leader-level abilities with, and/or a proven record of success directing efforts in the following areas:

Applying modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures;

Collaborating and contributing as a team member: understanding personal and team roles, contributing to a positive working environment by building proven relationships with team members, proactively seeking guidance, clarification and feedback;

Prioritizing and handling multiple tasks, researching and analyzing pertinent client, industry and technical matters, utilizing problem-solving skills, and communicating effectively in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment; and,

Research emerging trends, analyzing publications, and adopting modern technologies in solution architectures;

Coaching and collaborating with members on the Team who assist with this work, including providing coaching, feedback, and guidance on work performance.

Learn more about how we work: https://pwc.to/how-we-work

PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.

All qualified applicants will receive consideration for employment at PwC without regard to race; creed; color; religion; national origin; sex; age; disability; sexual orientation; gender identity or expression; genetic predisposition or carrier status; veteran, marital, or citizenship status; or any other status protected by law. PwC is proud to be an affirmative action and equal opportunity employer.

For positions based in San Francisco, consideration of qualified candidates with arrest and conviction records will be in a manner consistent with the San Francisco Fair Chance Ordinance.

Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

The salary range for this position is: $100,000 - $232,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

#LI-Hybrid

As Roof Stacks, we have been carrying out innovative projects since 2015. We aim to become a global actor in Tourism Systems, Extended Reality(AR/VR), Blockchain Technologies, Game Development, and Financial Technology, which are our areas of expertise.
We focus on creating a difference with the technologies we develop and designing the future. In addition to our central office in Gebze Bilişim Vadisi, we have branches in Antalya and Elazığ in Turkey. We have strengthened our position in the global market by opening a new office in Austin, USA, which hosts world technology giants from all over the world.
Job Purpose:
As a Data Architect at Roofstacks, you will be responsible for designing and implementing a scalable, high-performance data architecture that supports business intelligence, machine learning, and video streaming analytics. You will ensure that data flows efficiently across the organization and is structured to meet the needs of various teams, including data science, business intelligence, and engineering. Your expertise in data modeling, cloud architecture, and big data technologies will help Roofstacks deliver personalized content and optimize video streaming performance.
Key Responsibilities:
• Design and implement scalable, robust, and secure data architectures that support data analytics, machine learning, and business intelligence needs across the organization.
• Create and optimize data models (e.g., star schema, snowflake schema) to ensure data is structured for efficient access and analysis.
• Lead the architecture of data warehouses, data lakes, and data pipelines, utilizing cloud platforms like AWS (e.g., Redshift, S3, Glue, Lambda).
• Ensure that data governance, privacy, and security best practices are followed throughout the data infrastructure.
• Collaborate with data scientists, data engineers, and BI teams to design solutions that support video streaming optimization, personalized content recommendations, and location-based analysis.
• Develop strategies to manage and process large datasets, including real-time streaming data from user activity, video content performance, and other key metrics.
• Evaluate and implement emerging technologies related to data storage, ETL processes, and cloud computing to continuously improve data architecture.
• Create and maintain comprehensive documentation of data systems, processes, and architecture.
• Mentor and guide other members of the data engineering and architecture team, ensuring that best practices and standards are adhered to.
Requirements:
• Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, or a related field.
• 7+ years of experience in data architecture, data engineering, or related fields.
• Proven experience in designing and implementing data architectures for large-scale, data-intensive applications, preferably within the video streaming or entertainment industry.
• Strong proficiency with cloud platforms, particularly AWS (e.g., Redshift, Glue, Lambda, S3, Kinesis).
• Deep understanding of database management systems (e.g., PostgreSQL, MySQL, NoSQL databases) and data modeling techniques (e.g., star schema, snowflake schema).
• Experience with big data technologies such as Hadoop, Spark, Kafka, and other streaming data frameworks.
• Expertise in building and managing ETL/ELT pipelines, data lakes, and real-time data streaming architectures.
• Familiarity with data governance, data security, and compliance standards such as GDPR.
• Strong problem-solving and analytical skills with a focus on creating efficient and scalable solutions.
• Excellent communication skills, with the ability to convey technical information to non-technical stakeholders.

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Data Architect Jobs in Little Rock, AR

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Data Architect Jobs in Little Rock, AR

Senior Data ArchitectDecember 8, 2024

Data Architect Life Sciences Sector Manager Consulting Location OpenDecember 7, 2024

Data Architect ManagerNovember 26, 2024