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Job Description
Role:
Databricks Architect ( Banking domain )
Location:
Jersey City, NJ (3-4 days onsite)
EXP:
15+
Visa:
TN, E3, OPT
<> W2 Role Overview This role is part of a multiyear enterprise initiative to modernize data platforms by migrating from legacy and onprem environments to cloudnative, 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 (onprem / nonstandard tools) to Databricks on cloud under the Olympus program Perform application, data, and pipeline refactoring to cloudnative Databricks patterns Drive migration planning including dependency analysis, sequencing, and cutover strategy Support coexistence models and transition from dualrun to cloudonly execution Databricks Lakehouse Engineering 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 Enterprise Data Controls & Governance 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 riskcritical use cases (Finance, Ops, Recon, Reporting) Cloud Security & Resilience Implement cloudaligned 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 signoff Reporting, Analytics & AI Enablement Enable downstream BI, regulatory reporting, and MI workloads on Databricks Support centralized reporting programs (e.g., ARA, GRUrelated use cases) Prepare data foundations for AI / ML and Agentic workflows postmigration Required Qualifications 8 12+ years in data engineering / platform modernization Strong handson experience with Databricks in largescale enterprises Proven experience delivering cloud migration programs (onprem 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) Preferred Qualifications Experience with Citi Olympus or equivalent enterprise cloud programs Knowledge of legacy data platforms and modernization patterns Familiarity with Finance, Ops, Recon, or BalanceSheet data domains Exposure to MLflow, AI pipelines, or GenAI enablement on cloud Strong understanding of runthebank vs changethebank execution Behavioral & Delivery Expectations Strong ownership and execution mindset Comfortable operating in large, multivendor transformation programs Ability to engage with Technology, Operations, Risk, and Audit stakeholders Disciplined approach to migration risk, controls, and documentation
