Lead Data Engineer - Delivery Lead

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.