Senior Data Platform Engineer, Off

State Street UK

Hangzhou, China
**
Design and build core services
Reusable components for data platform
Streaming & batch ingestion frameworks
** State Street UK is seeking a Senior Data Platform Engineer to design and build core services for an open-architecture data platform in Hangzhou, China. The role requires expertise in backend service development, data ingestion frameworks, and cloud environments, with a strong emphasis on collaboration and engineering excellence. **

Job 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.
  • Drive engineering excellence through code reviews, automated testing, CI/CD, and production readiness practices.

Matching Summary

Match Score: 75

** State Street UK is seeking a Senior Data Platform Engineer to design and build core services for an open-architecture data platform in Hangzhou, China. The role requires expertise in backend service development, data ingestion frameworks, and cloud environments, with a strong emphasis on collaboration and engineering excellence. **

Skills & Requirements

Must-have

  • design and build core services
  • reusable components for data platform
  • streaming & batch ingestion frameworks
  • metadata-driven pipelines
  • API and consumption layer integrations
  • transformation engine and MDM engine
  • open formats (Iceberg, Parquet)
  • catalog systems (Polaris, Horizon, Unity Catalog)
  • query engines (Spark, Trino)
  • platform security controls
  • platform observability (logging, metrics, traces)
  • CI/CD, containers, and Kubernetes
  • Python and Java programming skills
  • Spark programming skills
  • Snowflake and Databricks experience
  • SQL optimization and large-scale analytics
  • distributed computing and hyperscale
  • cloud environments (AWS, GCP, Azure)

Nice-to-have

  • Rust programming knowledge
  • financial/data platform background
  • data modeling and data product design
  • streaming pipelines and Kafka familiarity

Key Requirements

  • Strong programming skills in Python and Java
  • Strong programming skills in Spark
  • Hands-on experience with Snowflake and Databricks
  • Deep understanding and working knowledge of open table formats such as Apache Iceberg
  • Experience building production-grade services in cloud environments (AWS, GCP and/or Azure)
  • Familiarity with data catalogs (Polaris, Horizon, Unity) and metadata management
  • Familiarity with streaming pipelines and Kafka
  • Experience with CI/CD, containers, and Kubernetes

Work Rights

Not specified

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