The SHOW comes alive at MGM Resorts International. Have you ever wondered what it would be like to work in a place full of excitement, diversity, and entertainment? Are you enthusiastic about being a team player in one of the most fascinating industr Data Architect, Architect, Data Engineer, Lead, Product Management, Practice, Technology, Hotel

U.S. Citizenship is required for this position due to Department of Defense restrictions.Who We AreWPS Health Solutions is a leading not-for-profit health insurer and federal government contractor headquartered in Wisconsin. WPS offers health insurance plans for individuals, families, seniors, and group health plans for small to large businesses. We process claims and provide customer support for beneficiaries of the Medicare program and manage benefits for millions of active-duty and retired military personnel across the U.S. and abroad. WPS Health Solutions has been making healthcare easier for the people we serve for more than 75 years. Proud to be military and veteran ready.Culture Drives Our SuccessWPS' culture is where the great work and innovations of our people are seen, fueled, and rewarded. We accomplish this by creating an inclusive and empowering employee experience. We recognize the benefits of Diversity, Equity, and Inclusion as an investment in our workforce—both current and future—to effectively seek, leverage, and include diverse perspectives that fuel agility and innovation on high-performing teams. This results in people bringing their authentic selves to work every day in an organization that successfully adapts to business changes and new opportunities.Role SnapshotOur Test Data Architect will be instrumental in developing, maintaining, and managing our Test Data Architecture. Will provide guidance to testing teams that are performing a variety of functional testing and quality tasks during all phases of a given development process. This person will work closely with internal clients, Subject Matter Experts (SMEs), and developers to recommend, design, and implement effective orchestration of Test Data Management Solutions. They will develop and maintain the strategy roadmap, setup appropriate data management solutions.How do I know this opportunity is right for me? If you:<ul><li>Want to play an important role in the development and implementation of a test data management team and quality engineering platform.</li><li>Would enjoy being accountable for driving and producing high-level Test Data architecture/creation and management artifacts that include current/future state of our program.</li><li>Possess effective leadership, communication (verbal and written), and project management skills to work with various levels and divisions within the organization.</li><li>Are able to utilize critical thinking, decision-making, and independent judgment skillsets that support corporate objectives.</li><li>Can produce a positive customer experience by practicing effective communication and being available to provide guidance and mentor others.</li></ul>What will I gain from this role?<ul><li>Working with a highly skilled leadership team, focused on innovation, process improvements and honing a strategic path into the future.</li><li>Being able to create roadmaps within QA and QE that will have a strong impact on many of WPS's business areas and the company as a whole.</li><li>Working in a transformative environment focused on strategic quality, deployment, and development throughout the company.</li><li>Being a thought leader at WPS and seeing the fruits of your efforts realized through modernization and innovation.</li><li>Experience working in an environment that serves our nation's military, veterans, Guard and Reserves, and Medicare beneficiaries.</li><li>Working in a continuous performance feedback environment.</li></ul>Minimum Qualifications<ul><li>U.S. Citizenship is required for this position due to Department of Defense restrictions.</li><li>Bachelor's Degree in related field or equivalent post high school and/or related work experience.</li><li>5 or more years of related work experience.</li><li>Experience with Test Data Management Capabilities and Quality Engineering.</li></ul>Preferred Qualifications<ul><li>6 or more years of demonstrated development experience with an emphasis on Test Data Engineering and Test Data Management.</li><li>5 or more years of Data Analysis and Data Engineering or related experience in the field of Information Technology.</li><li>Experience with multiple quality assurance platforms and methodologies.</li><li>Experience with tools such as: Informatica, Oracle, Power BI, ADO, Selenium, Cucumber.</li><li>Automated testing experience involving transactions, such as electronic interfaces, data transactions between systems, and complex administrative operations.</li></ul>Salary Range$130,000 ~ $150,000The base pay offered for this position may vary within the posted range based on your job-related knowledge, skills, experience, and may fall outside of this range.Work LocationWe are a remote-first organization and offer remote work in the following approved states: Arizona, Colorado, Connecticut, Florida, Georgia, Illinois, Indiana, Iowa, Michigan, Minnesota, Missouri, Nebraska, Nevada, New Jersey, North Carolina, North Dakota, Ohio, South Carolina, South Dakota, Texas, Virginia, WisconsinRemote Work Requirements<ul><li>Wired (ethernet cable) internet connection from your router to your computer</li><li>High speed cable or fiber internet</li><li>Minimum of 10 Mbps downstream and at least 1 Mbps upstream internet connection (can be checked at https://speedtest.net)</li><li>Please review Remote Worker FAQs for additional information</li></ul>Benefits<ul><li>Remote and hybrid work options available</li><li>Performance bonus and/or merit increase opportunities</li><li>401(k) with dollar-per-dollar match up to 6% of salary (100% vested immediately)</li><li>Competitive paid time off</li><li>Health insurance, dental insurance, and telehealth services start DAY 1</li><li>Employee Resource Groups</li><li>Professional and Leadership Development Programs</li><li>Review additional benefits: <a href="#">here</a></li></ul>Equal Opportunity Employer/Protected Veterans/Individuals with DisabilitiesThe contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant.
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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.+ Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.+ Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.+ Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.+ Diverse and inclusive culture: You’ll 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.
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Position:Sr Data Architect (Snowflake) Location:Las Vegas, NV (Onsite) 1099/W2 Role ONLY NO C2C We are seeking a Snowflake Architect to play a crucial role in designing, implementing, and maintaining our clients' data platforms using the Snowflake cloud data platform, Informatica cloud, Azure and Oracle. What will you do? Design and develop scalable, high-performance data architectures on the Snowflake cloud data platform to meet the evolving business needs and data growth. Lead the implementation of Snowflake-based data solutions, including data modeling, schema design, and data integration pipelines. Optimize data storage, data retrieval, and query performance in Snowflake to ensure the efficient processing of large-scale datasets. Implement and maintain robust data security practices, including data encryption, role-based access controls, and data privacy measures, to safeguard sensitive information. Develop and maintain documentation of the data architecture, data flow and data models of the data warehouse appropriate for various audiences. Provide direction on adoption of Cloud technologies (Snowflake) and industry best practices in the field of data warehouse architecture and modelling. Take ownership of technical solutions from design and architecture perspective for projects in presales phase as well as on- going projects Design end-to-end data integration architectures using Informatica, considering data sources, data transformation, data mapping, and data delivery to meet business objectives. Possess a deep understanding of the Informatica platform, including PowerCenter, Data Quality, Master Data Management, and Informatica Cloud, and leverage its capabilities to design efficient and scalable data solutions. Collaborate with data engineers and data analysts to define data mappings, transformation rules, and data workflows to ensure data accuracy and consistency. Lead and participate in the development of ETL/ELT workflows using Informatica tools, optimizing data extraction, loading, and transformation processes. What are we looking for? <ul> <li>Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.</li> <li>Proven experience as a Data Architect or similar role, with a focus on cloud-based data solutions. </li> <li>In-depth knowledge of Snowflake cloud data platform and its components, such as Virtual Warehouses, Snowflake Data Sharing, etc. </li> <li>In-depth knowledge of Informatica PowerCenter, Informatica Cloud, Informatica Data Quality, and other Informatica products. </li> <li>Experience establishing data quality processes, performing data analysis, participating in technology implementation planning, implementing data integration processes </li> <li>Expertise in Snowflake data modeling in star, snowflake and data vault 2.0, ELT using SnowPipe, implementing stored procedures and standard DWH and ETL concepts </li> <li>Create and maintain documentation of the data architecture, flow, and models of the data warehouse for various stakeholders. </li> <li>Hands-on experience in data modeling, data integration, and ETL/ELT processes. </li> <li>Design and implement scalable and streamlined data pipelines to address key business use cases and to meet data SLA requirements. </li> <li>Proficiency in SQL and other data querying languages. </li> <li>Collaborate with data engineers and analysts to establish data mappings, transformation rules, and workflows for ensuring data accuracy and consistency. </li> <li>Experience in Data Migration to Snowflake cloud data warehouse </li> <li>Strong understanding of data governance, data security, and data management best practices. </li> <li>Experience with cloud infrastructure and services, preferably AWS or Azure. </li> <li>Excellent analytical, problem-solving, and communication skills. </li> <li>Ability to work collaboratively in a team environment and interact with stakeholders at all levels of the organization. </li> </ul>

Data Architect - Las Vegas, NV - Day1 onsite role Description for Internal Candidates Leverage modern data management toolsets and coding methods to design, build, implement, and optimize data solutions of all types - including support for OLTP and API/Microservices, data warehouses, data lakes, ODS, streaming data, analytic and BI/visualizations, etc. Transform legacy data structures and processes to modern, capable, and secure solutions in a hybrid cloud setup Apply Data Engineering & Design best practices to architect solutions, using a deep understanding of various data formats and database design approaches Design and Implement Data Services (DaaS) for consumption and various manipulations throughout the Data Ecosystem applying the "contract first" design principle and including the use of API, Microservices, Micro batch, ELT Pipeline, and other methods. Build best practices, drive data ingestion, and develop tooling for increasing scale, accuracy, and automation in the data pipeline, to integrate with decisioning, AI/NLP, and consuming systems Ensure data security by designing controls and protection strategies Enable application performance and modernization by creating appropriate data capabilities to match Position Requirements 8 years of experience in data engineering, development, and operations roles, including experience with transformational efforts. Strong Database skills, with RDBMS (E.g., Oracle, SQL) as well as modern relational and unstructured data sources (like NoSQL), including cloud services (AWS/GCP/Azure). Hands-on experience using tools is strongly preferred Experience with Tools (or similar) such as Hive, Airflow, Kafka, PostgreSQL, Oracle, SQL Server, Elasticsearch (ELK), JSON, Parquet, Avro, and other Data Storage formats, Tableau, Superset and other Visualization Tools, Apache Atlas, and other Data-centric Apache Packages Knowledge of Design Patterns for Software and Data Engineering. Experience Coding with Java, JavaScript (Nodejs), and Python. Experience in on-prem and hybrid cloud infrastructure, including service and cost optimization Experience with production and analytics data, batch, and real-time / streaming, etc. Experience with CI/ CD tools like Gitlab and Gitlab flow. Experience with OpenShift, Kubernetes, and Docker.

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

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Data Architect Jobs in Las Vegas

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Data Architect Jobs in Las Vegas

Lead Data ArchitectDecember 19, 2024

Test Data ArchitectDecember 9, 2024

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

Sr Data Architect Snowflake Las Vegas Nv Onsite 1099W2 Role OnlyDecember 6, 2024

Data ArchitectNovember 30, 2024

Data Architect ManagerNovember 26, 2024