Lead Data Engineer - Delivery Lead

Lead Data Engineer - Delivery Lead(485388)

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 client 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.