Lead Data Engineer - Delivery Lead

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.Job Location: This role is on-site in Las Vegas Nevada. About the job you're considering The Delivery Lead will oversee the end-to-end delivery of a Teradata-to-Azure/Databricks migration powering client's next-generation curated analytics platform as well as coordinate delivery across other data-related initiatives. This role sits onsite in Las Vegas and requires strong leadership across gaming, hospitality, F&B, entertainment, digital, and enterprise analytics domains. The Delivery Lead will coordinate Capgemini delivery teams, client's business stakeholders, and technology partners to modernize the data ecosystem supporting, but not limited to, guest personalization, resort operations, gaming analytics, revenue optimization, and enterprise decisioning. This is a high-visibility professional-services leadership role responsible for predictable delivery, stakeholder alignment, and ensuring client realizes measurable value from its cloud analytics transformation. Your role Delivery Leadership & Governance Program Delivery Oversight — Lead multi-wave migration of Teradata workloads across gaming, loyalty, property operations, digital, F&B, entertainment, and enterprise analytics domains, along with other migration activities into EDH 2.0. Governance & Reporting — Establish disciplined delivery governance aligned to client's PMO, including RAID management, executive status reporting, dependency tracking, and operational readiness checkpoints. Stakeholder Management — Serve as a primary onsite interface for business and technology stakeholders, translating delivery progress, risks, and decisions into business-relevant language. Risk & Issue Management — Proactively manage risks tied to high-traffic resort periods, major entertainment weekends, operational dependencies, data quality, platform readiness, and downstream analytics adoption. Technical Program Leadership EDH 2.0 Migration Strategy — Oversee migration planning and execution for enterprise data warehouse workloads, including Teradata tables, views, SQL logic, stored procedures, ETL/ELT dependencies, and analytics consumption patterns. Azure Data Architecture — Guide delivery alignment to target-state Azure data architecture, including Azure Data Lake Storage, curated data zones, secure data-sharing patterns, and business-ready consumption layers. Databricks Delivery — Ensure Azure Databricks pipelines, Delta Lake patterns, and medallion-oriented engineering practices support scalable analytics, reporting, personalization, forecasting, and enterprise decisioning use cases. Data Analysis & Quality — Drive data profiling, reconciliation, validation, and KPI alignment across source and target platforms to support business confidence and production readiness. Team, Financial & Partner Management Onshore/Offshore Coordination — Manage Capgemini delivery teams across architecture, data engineering, data analysis, QA, lineage, data modeling, and release coordination. Resource Planning — Align capacity, skill mix, and work allocation to migration waves, delivery priorities, and business-domain sequencing. Financial Governance — Support forecasting, burn tracking, scope management, and commercial discipline for a professional-services engagement. Vendor & Partner Coordination — Coordinate effectively with Microsoft Azure, Databricks, client's technology partners, and other delivery stakeholders to remove blockers and maintain execution momentum. Skills and experience Teradata Modernization — High preference for leading or managing large Teradata modernization, migration, or decommissioning programs in complex enterprise environments. Azure Data Platform — Strong working knowledge of Microsoft Azure data services, including Azure Data Lake Storage, secure cloud data patterns, orchestration, and enterprise-scale cloud migration practices. Azure Databricks — Practical understanding of Azure Databricks, Spark-based engineering, Delta Lake, medallion architecture, and scalable data pipeline delivery. SQL & Data Analysis — Strong SQL fluency and ability to guide teams through data profiling, mapping, reconciliation, transformation logic review, and issue resolution. Data Architecture — Experience aligning migration delivery to target-state data architecture, curated analytics layers, semantic consumption patterns, governance expectations, and operational controls. Complex Program Management — Experience leading large, multi-workstream delivery programs with onshore/offshore teams and multiple business and technology stakeholders. Executive Communication — Skilled at presenting complex data and technology topics in clear, business-friendly language for senior client stakeholders. Delivery Discipline — Strong ability to manage milestones, dependencies, risks, issues, scope, quality, release readiness, and operational transition. Consulting Mindset — Ability to operate as a trusted professional-services leader focused on measurable outcomes, not solely staff augmentation or activity-based execution. Domain Adaptability — Ability to quickly understand client’s operating context across gaming, hospitality, F&B, entertainment, digital, and enterprise analytics domains. The base compensation range for this role in the posted location is: $134,316 - $177,320. Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law. The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction. These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity. It is not typical for candidates to be hired at or near the top of the posted compensation range. In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws. Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave Medical, dental, and vision coverage (or provincial healthcare coordination in Canada) Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada) Life and disability insurance Employee assistance programs Other benefits as provided by local policy and eligibility Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation. Disclaimers Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. Click the following link for more information on your rights as an Applicant in the United States. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.