Lead Databricks Architect – Financial Services & Banking

📋 Description

• Design and implement an enterprise-grade Databricks Lakehouse architecture leveraging Delta Lake
• Establish architectural patterns for high-throughput batch and real-time streaming data pipelines
• Drive the migration strategy from legacy data warehouses (e.g., Teradata, Oracle, Snowflake
• Implement strict data security, enterprise access controls, and fine-grained permissions using
• Architect data masking, tokenization, and encryption strategies for Personally Identifiable
• Ensure full data lineage, auditing, and metadata management across multi-cloud or hybrid-cloud

🎯 Requirements

• 5+ years of hands-on experience designing and running large-scale Databricks environments in
• Deep knowledge of AWS, Azure, or GCP data services (e.g., Azure Data Lake Storage/Data Factory, AWS
• Mastery of Delta Lake, PySpark, Databricks SQL, Structured Streaming, and Delta Live Tables.
• Strong hands-on experience configuring Databricks Unity Catalog, RBAC, ABAC, and data governance
• Proficiency with Terraform, CI/CD pipelines (GitHub Actions, Azure DevOps, Jenkins), and Databricks
• 3+ years working within a retail bank, investment bank, or financial services institution.