- Location
- Hangzhou, China
- Type
- Full-time
- Department
- Engineering
- Seniority
- VP
- Closing date
- Today
- Source
- Workday
Description
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.
Key Responsibilities
Design and build backend services and shared libraries that provide platform capabilities, including:
Streaming & batch ingestion frameworks
Metadata-driven pipelines
API and consumption layer integrations
Transformation engine and MDM engine
Engineer reusable platform components aligned with open formats (Iceberg, Parquet), catalog systems (Polaris, Horizon, Unity Catalog), and query engines (Spark, Trino)
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; knowledge of Rust is a bonus
Strong programming skills in Spark, with hands-on knowledge of optimization and debugging
Hands-on experience with Snowflake and Databricks as data platforms
Strong understanding of SQL optimization, execution, and large-scale analytics
Deep understanding and working knowledge of open table formats such as Apache Iceberg are preferred
Deep understanding of distributed computing and hyperscale
Experience building production-grade services in cloud environments; AWS,GCP and/or Azure is preferred
Familiarity with data catalogs (any of Polaris, Horizon, Unity) and metadata management
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.
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