Job description

Roles & Responsibilities Key Responsibilities • Data Platform Architecture • Design end-to-end Databricks Lakehouse architectures. • Define enterprise data architecture standards and reusable patterns. • Architect Bronze, Silver, and Gold data products using Medallion Architecture. • Establish scalable data integration frameworks for batch, streaming, and CDC workloads. • Design resilient multi-region and data residency compliant solutions. Data Modernization • Lead modernization of Cloudera Hadoop, Hive, Impala, Spark, and legacy Data Warehouse platforms. • Define migration strategies, migration factories, and cutover approaches. • Establish metadata, lineage, and governance migration frameworks. • Drive workload optimization and performance tuning. Databricks Governance • Design Unity Catalog architecture. • Implement RBAC, ABAC, row-level and column-level security. • Establish lineage, audit, compliance, and data quality frameworks. • Define workspace, catalog, and metastore architecture across regions. • Implement data sharing and data residency controls. AI / GenAI Enablement • Design AI-ready Lakehouse architectures. • Enable MLOps and LLMOps frameworks. • Implement Feature Stores and Vector Search architectures. • Support GenAI, Agentic AI, and Retrieval-Augmented Generation (RAG) use cases. • Evaluate emerging Databricks AI capabilities and accelerators. Architecture Governance • Conduct architecture reviews and design approvals. • Define technical standards, guardrails, and reference architectures. • Lead Proof of Concepts and innovation initiatives. • Mentor engineering teams on Databricks best practices. • Ensure compliance with security, risk, and regulatory requirements. Required Skills & Qualifications • 10+ years in Data & Analytics Architecture. • 5+ years of Databricks implementation experience. • Strong experience in large-scale cloud data modernization programs. • Experience migrating Cloudera/Hadoop environments to Databricks. • Banking and Financial Services domain experience preferred. • Experience engaging with executive stakeholders and enterprise architecture boards • Must work from customer location in Dallas. Salary Range: $120,000 to $135,000 per year </div

Requirements

Must-haves

Roles & Responsibilities
Data Platform Architecture
Design end-to-end Databricks Lakehouse architectures.
Define enterprise data architecture standards and reusable patterns.
Architect Bronze, Silver, and Gold data products using Medallion Architecture.
Establish scalable data integration frameworks for batch, streaming, and CDC workloads.
Design resilient multi-region and data residency compliant solutions.
Data Modernization
Lead modernization of Cloudera Hadoop, Hive, Impala, Spark, and legacy Data Warehouse platforms.
Define migration strategies, migration factories, and cutover approaches.
Establish metadata, lineage, and governance migration frameworks.
Drive workload optimization and performance tuning.
Databricks Governance
Design Unity Catalog architecture.
Implement RBAC, ABAC, row-level and column-level security.
Establish lineage, audit, compliance, and data quality frameworks.
Define workspace, catalog, and metastore architecture across regions.
Implement data sharing and data residency controls.
AI / GenAI Enablement
Design AI-ready Lakehouse architectures.
Enable MLOps and LLMOps frameworks.
Implement Feature Stores and Vector Search architectures.
Support GenAI, Agentic AI, and Retrieval-Augmented Generation (RAG) use cases.

Nice-to-haves

Banking and Financial Services domain experience preferred.

Application prep

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