Lead Data Engineer - Cloud Databricks Migration & Lakehouse

Role Overview
This role is part of a multi‐year enterprise initiative to modernize data platforms by migrating from legacy and on‐prem environments to cloud‐native, governed, and scalable architectures .
The role focuses on migrating enterprise data workloads to Databricks on strategic cloud platforms , enabling standardized data engineering, analytics, centralized reporting, reconciliation utilities, and AI/ML use cases—while adhering to controls, security, resilience, and regulatory compliance .

Key Responsibilities

• Lead and execute migration of legacy data platforms (on‐prem / non‐standard tools) to Databricks on cloud under the Olympus program
• Perform application, data, and pipeline refactoring to cloud‐native Databricks patterns
• Drive migration planning including dependency analysis, sequencing, and cutover strategy
• Support coexistence models and transition from dual‐run to cloud‐only execution

• Design and implement Databricks Lakehouse architecture (Bronze / Silver / Gold)
• Build scalable batch and streaming pipelines using PySpark, Spark SQL
• Leverage Delta Lake for reliability, versioning, and performance
• Optimize compute usage and cost in line with enterprise cloud efficiency goals

• Embed data quality, reconciliation, and completeness controls as part of migration
• Ensure migrated workloads meet EDO governance, MCA, and audit requirements
• Maintain lineage, traceability, and explainability across migrated assets
• Support risk‐critical use cases (Finance, Ops, Recon, Reporting)

• Implement cloud‐aligned RBAC, identity controls, and secure access patterns
• Enforce data encryption, masking, and classification standards
• Ensure workloads meet operational resilience and recovery expectations
• Partner with cloud platform and security teams for certification and sign‐off

• Enable downstream BI, regulatory reporting, and MI workloads on Databricks
• Support centralized reporting programs (e.g., ARA, GRU‐related use cases)
• Prepare data foundations for AI / ML and Agentic workflows post‐migration

• 8–12+ years in data engineering / platform modernization
• Strong hands‐on experience with Databricks in large‐scale enterprises
• Proven experience delivering cloud migration programs (on‐prem → cloud)
• Deep expertise in Apache Spark, PySpark, Spark SQL
• Experience embedding controls, reconciliation, and data quality in migrations
• Experience in regulated environments (banking / financial services preferred)

• Experience with Client Olympus or equivalent enterprise cloud programs
• Knowledge of legacy data platforms and modernization patterns
• Familiarity with Finance, Ops, Recon, or Balance‐Sheet data domains
• Exposure to MLflow, AI pipelines, or GenAI enablement on cloud
• Strong understanding of run‐the‐bank vs change‐the‐bank execution

• Strong ownership and execution mindset
• Comfortable operating in large, multi‐vendor transformation programs
• Ability to engage with Technology, Operations, Risk, and Audit stakeholders
• Disciplined approach to migration risk, controls, and documentation