Lead Data Engineer - Delivery Lead

About the role

You're considering the role of Delivery Lead at Capgemini, overseeing the migration of Teradata workloads to Azure/Databricks for a next-generation curated analytics platform. This role involves coordinating delivery across various domains including gaming, hospitality, F&B, entertainment, digital, and enterprise analytics.

Responsibilities

• Lead multi-wave migration of Teradata workloads across gaming, loyalty, property operations, digital, F&B, entertainment, and enterprise analytics domains.
• Establish disciplined delivery governance aligned to client's PMO, including RAID management, executive status reporting, dependency tracking, and operational readiness checkpoints.
• Serve as a primary onsite interface for business and technology stakeholders, translating delivery progress, risks, and decisions into business-relevant language.
• Proactively manage risks tied to high-traffic resort periods, major entertainment weekends, operational dependencies, data quality, platform readiness, and downstream analytics adoption.
• 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.
• 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.
• Ensure Azure Databricks pipelines, Delta Lake patterns, and medallion-oriented engineering practices support scalable analytics, reporting, personalization, forecasting, and enterprise decisioning use cases.
• Drive data profiling, reconciliation, validation, and KPI alignment across source and target platforms to support business confidence and production readiness.
• Manage Capgemini delivery teams across architecture, data engineering, data analysis, QA, lineage, data modeling, and release coordination.
• Align capacity, skill mix, and work allocation to migration waves, delivery priorities, and business-domain sequencing.
• Support forecasting, burn tracking, scope management, and commercial discipline for a professional-services engagement.
• Coordinate effectively with Microsoft Azure, Databricks, client's technology partners, and other delivery stakeholders to remove blockers and maintain execution momentum.

Requirements

This role requires strong leadership across gaming, hospitality, F&B, entertainment, digital, and enterprise analytics domains. You should have practical experience in leading or managing large Teradata modernization, migration, or decommissioning programs in complex enterprise environments. A strong working knowledge of Microsoft Azure data services, including Azure Data Lake Storage, secure cloud data patterns, orchestration, and enterprise-scale cloud migration practices, is preferred. Practical understanding of Azure Databricks, Spark-based engineering, Delta Lake, medallion architecture, and scalable data pipeline delivery is also essential. Strong SQL fluency and ability to guide teams through data profiling, mapping, reconciliation, transformation logic review, and issue resolution are required. Experience aligning migration delivery to target-state data architecture, curated analytics layers, semantic consumption patterns, governance expectations, and operational controls is necessary. Complex program management experience, including leading large, multi-workstream delivery programs with onshore/offshore teams and multiple business and technology stakeholders, is a must. Executive communication skills, presenting complex data and technology topics in clear, business-friendly language for senior client stakeholders, are crucial. Strong ability to manage milestones, dependencies, risks, issues, scope, quality, release readiness, and operational transition is expected. A consulting mindset, focusing on measurable outcomes rather than solely on staff augmentation or activity-based execution, is important. Domain adaptability, quickly understanding client’s operating context across gaming, hospitality, F&B, entertainment, digital, and enterprise analytics domains, is a key requirement.

Qualifications

• Advanced degree in Computer Science, Information Systems, or related field.
• Minimum 8 years of relevant experience in data migration, modernization, or cloud transformation projects.
• Experience with Teradata, Azure, and Databricks.
• Strong leadership and project management skills.
• Excellent communication and presentation skills.
• Ability to work in a fast-paced, dynamic environment.

Skills

• Teradata Modernization
• Azure Data Platform
• Azure Databricks
• SQL & Data Analysis
• Data Architecture
• Complex Program Management
• Executive Communication
• Delivery Discipline
• Consulting Mindset
• Domain Adaptability

Benefits

The base compensation range for this role in the posted location is $134,316 - $177,320. Capgemini provides a comprehensive, non-negotiable benefits package to all regular, full-time employees, including paid time off, medical, dental, and vision coverage, retirement savings plans, life and disability insurance, and employee assistance programs. Capgemini is committed to providing reasonable accommodation during the recruitment process and ensuring equal employment opportunities for all qualified applicants.

Pay

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 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.

Schedule

The role is on-site in Las Vegas, Nevada.