Senior Data Platform Architect (Snowflake, Databricks, Open Platforms & Data Virtualization), VP I - State Street Investment Management
Core
Design and govern the end-to-end enterprise data platform architecture for Snowflake, Databricks, and open table formats to support analytics, regulatory reporting, and AI/ML workloads in financial services.
Role type
Senior Data Platform Architect
Builds
Hybrid Snowflake-Databricks lakehouse architectures, open data platform strategies, and federated data access patterns across multi-cloud environments.
Domain
Financial Services / Data Engineering & Architecture
Deliverable
production ML models | infrastructure
Required skills
Snowflake architecture & governance, Databricks Unity Catalog & Spark, Apache Iceberg/Delta Lake/Parquet, Data Virtualization (Denodo/Trino), Batch modernization (Oracle/Mainframe to Cloud), Multi-cloud networking (AWS/Azure/GCP), SQL/Python/Scala, Linux administration, Financial Services regulatory compliance (SOX/MRA/NPPI).
Preferred skills
Generative AI scripting, Legacy system migration experience, Cross-cloud disaster recovery design.
Technologies
Snowflake, Databricks, Apache Iceberg, Delta Lake, Parquet, Denodo, Trino, Starburst, AWS, Azure, GCP, Control-M, Airflow.
Responsibilities
Define hybrid Snowflake-Databricks reference blueprints and medallion patterns; Architect open table format standards for cross-engine compatibility; Design data virtualization patterns for logical access across legacy and cloud sources; Lead batch application modernization from legacy platforms to cloud-native orchestration; Architect security-by-design controls including RBAC, row/column masking, and network whitelisting; Produce architecture diagrams and executive-level presentations for stakeholder engagement.
Seniority
Senior, hands-on IC with strategic accountability
