Role at a glance
- Salary
- Not Disclosed
- Location
- Hangzhou, China
- Work arrangement
- On-site
- Employment
- Full-time
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Role Summary
Designs, builds, and operates reusable services and components for an open-architecture data platform supporting scalable ingestion, metadata-driven processing, governance, and multi-engine data consumption. Partners with Platform Engineering and Data Engineering to provide secure, observable, production-grade capabilities for Core Reference, IBOR, and Stamford initiatives.
What You'll Do
- Design and build backend services and shared libraries for streaming and batch ingestion, metadata-driven pipelines, API and consumption...
- Build reusable components aligned with open formats, catalog systems, and query engines.
- Implement platform security controls, including role-based access control, authentication, and enterprise entitlement integration.
- Maintain observability, alerting, and operational dashboards in support of SLAs.
- Collaborate with architects on scalable designs and open standards, and apply code review, automated testing, CI/CD, and...
- Participate in on-call and major incident management, troubleshoot production issues, and support platform stability and enterprise...
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View full postingQualifications
Strong programming skills in Python and Java, and in Spark with hands-on optimization and debugging knowledge. Hands-on experience with Snowflake and Databricks; 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; familiarity with data catalogs and metadata management; understanding of data modeling and data product design; and experience with CI/CD, containers, and Kubernetes.
Required
- Rust is a bonus.
- Deep understanding and working knowledge of open table formats such as Apache Iceberg are preferred.
- AWS,GCP and/or Azure is preferred.
- Familiarity with streaming pipelines and Kafka is preferred.
- Financial/data platform background preferred but not required.
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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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State Street
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State Street is a leading financial services and bank holding company, headquartered in Boston, Massachusetts. With a strong focus on investment management and servicing solutions, State Street supports institutional investors worldwide by providing services such as asset management, investment research, and trading. Renowned for its commitment to innovation and sustainability, State Street leverages advanced technology and data analytics to enhance investment strategies and customer experiences. The company prioritizes diversity and inclusion within its workforce, reflecting its dedication to fostering a dynamic and collaborative environment.