Senior Data Platform Engineer, Off

Location: Hangzhou, China

Time Type: Full time

Job Description

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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