Data Platform Engineer, VP II - State Street Investment Management
Core
Lead the architecture, engineering execution, and modernization strategy for a unified, cloud-native data platform enabling investment management business.
Role type
VP II, Data Platform Engineering Lead
Builds
Cloud-native data platform (Lakehouse, batch, streaming, metadata/catalog, observability, security) supporting high-concurrency analytical workloads
Domain
Financial Services / Investment Management / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis | infrastructure
Required skills
Large-scale data platform architecture, distributed computing, data pipeline engineering, modern cloud architecture, Python, SQL, Spark (batch/streaming), Lakehouse platforms (Snowflake/Databricks), Apache Iceberg, CI/CD, IaC (Terraform/CloudFormation), data governance, zero-copy data sharing, data virtualization
Preferred skills
Financial institution data/platform development, modern governance frameworks (Unity Catalog, Collibra, Alation), AI-assisted coding (GitHub Copilot, Claude Code Assistant)
Technologies
Python, SQL, Java, Scala, Spark, Snowflake, Databricks, AWS, Azure, Apache Iceberg, Terraform, CloudFormation, Unity Catalog, Collibra, Alation, GitHub Copilot, Claude Code Assistant
Responsibilities
Execute long-term vision and roadmap for unified cloud-native data platform; define data strategies and logical/physical data models; collaborate on core platform capabilities (Lakehouse, batch, events, streaming, metadata, observability, security); design and optimize Iceberg-based tables; establish data engineering excellence (CI/CD, IaC, testing, data quality); partner to define data semantics and product contracts; build curated semantic layer models; optimize pipeline and query performance; evaluate agentic AI frameworks for SDLC improvement
Seniority
VP II, Strategy & Hands-on IC