Partner with Product, Analytics, ML, and business SMEs to define data semantics, data product contracts, schemas, SLAs, documentation, access controls, and governed serving models.
Engineer data governance capabilities across lineage, observability, permissions, entitlement enforcement, sensitive data classification, masking/tokenization, auditability, and policy-based controls.
Create AI-ready data assets by enforcing standards for completeness, accuracy, validity, consistency, timeliness, uniqueness, lineage, provenance, metadata quality, and semantic consistency.
Optimize platform performance and cost through workload tuning, partitioning/clustering, caching, lifecycle management, retention/purge strategies, and query optimization.
Own operational stability by troubleshooting production issues, supporting backfills, participating in incident response, driving root-cause fixes, and improving platform reliability.
Provide technical leadership for a small team or pod, including planning, mentoring, delivery oversight, engineering standards, and operational excellence.
Required Qualifications
14+ years in software/data engineering; BS/MS in CS/Engineering (or equivalent experience).
Strong hands-on coding in Python and SQL (Java/Scala a plus).
Proven delivery of lakehouse/data platform solutions using Databricks and/or Snowflake on AWS (GCP or Azure acceptable).
Strong Spark (batch/streaming) development and performance/cost tuning.
Experience with Apache Iceberg and table/catalog governance concepts (e.g., Unity Catalog or equivalent).
Production engineering practices: CI/CD, IaC (Terraform/CloudFormation), automated testing, security basics, and observability.
Ownership mindset for operations: on-call/incident response, RCA, backfills, and reliability improvements; strong communication with global teams.
Preferred Qualifications
Financial services experience (asset management preferred).
Experience across structured + alternative/unstructured data, plus governance tooling (Snowflake Horizon/Unity Catalog/Collibra/Alation or similar).
Use of AI-assisted coding tools (e.g., GitHub Copilot, Claude Code) while maintaining code quality.
About State Street
Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.
We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.
As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.
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