Lead Data Engineer - Delivery Lead
Capgemini
San Francisco, CA, US
Onsite
2026-06-23
Announced salary
$134k–$177k
Market rate in San Francisco : $123K - $211K (median $161K) · BLS OEWS 2025
Job description
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:**
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This role is on\-site in Las Vegas Nevada.
**About the job you're considering**
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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**
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* 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.
+ Stake