Role Summary
Design, build, and run core services and reusable components for the open-architecture data platform, enabling scalable ingestion, metadata-driven processing, governance, and reliable multi-engine data consumption. Partner with Platform Engineering and Data Engineering teams to provide secure, observable, production-grade capabilities that support Core Reference, IBOR, and Stamford data initiatives. Meanwhile, build Agentic AI solutions/platform to automate data operations related to investment performance, investment research, sales, client coverage, product, and related daily operations.
Key Responsibilities
- Build agentic AI solutions to automate data operations related to investment performance, investment research, and related daily operations.
- Implement platform security controls including role-based access control, authentication, and integration with enterprise entitlements
- Build and maintain platform observability (logging, metrics, traces), alerting, and operational dashboards in support of SLAs
- Collaborate with architects to define scalable, extensible designs and ensure adherence to open standards
- Drive engineering excellence through code reviews, automated testing, CI/CD, and production readiness practices
- Ensure platform services meet enterprise security and compliance requirements (SCC, governance)
- Participate in on-call / major incident management and troubleshoot production issues to maintain platform stability
Qualifications
- Strong programming skills in Python and Java; Vibe coding is a must.
- Proficient in harness Engineering including but not limited skills, MCP tools, workflow orchestration, agent memory, RAG and knowledge graph etc.
- Hands-on experience with Snowflake and Databricks as data platforms
- Strong understanding of SQL optimization, execution, and large-scale analytics Deep understanding of distributed computing and hyperscale
- Experience building production-grade services in cloud environments; AWS,GCP and/or Azure is preferred
- Familiarity with streaming pipelines and Kafka is preferred
- Understanding of data modeling and data product design
- Experience with CI/CD, containers, and Kubernetes
- Financial/data platform background preferred but not required
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.
Discover more information on jobs at StateStreet.com/careers
Read our CEO Statement