Data Analytics & Management, SrAssc

Design, build, and support trusted analytical data products for   Core Reference Data ,   Security Master ,   IBOR Holdings & Transactions ,   DataHub ,   and   Stamford Data Warehouse   migrations and may other data initiatives .   Develop   end-to-end batch/stream pipelines, logical and physical data models, and production-grade curation of reference and application data using open Lakehouse technologies, in partnership with domain SMEs, architects, and platform teams.

Build and operate scalable batch and streaming pipelines using the Snowflake and/or Databricks tech stack,   Spark , or   Informatica ETL   (where reused) to deliver analytics-ready datasets   I mplement   Iceberg -based tables, partitions, and metadata structures for consistent and performant analytical access   Implement processing, storage, and delivery for reference and application data domains including security data and IBOR holdings/transactions, integrating source feeds (RKS, PORTIA, Aladdin, CRD Cloud) into curated analytical datasets   Implement automated data validation, data quality rules, reconciliation checks, and lineage capture to ensure trusted analytical outcomes   Build and publish curated   semantic layer   data models (serving models, marts) and expose them via governed BI endpoints and/or consumption APIs, ensuring consistent metrics and business definitions   Develop   data product interfaces for consumption (schemas, SLAs, documentation, versioning and backward compatibility) to support stable API and BI integrations   Work with Platform Engineering to standardize deployment via CI/CD, productionize jobs, and adopt platform guardrails and observability patterns   Collaborate with architects and application teams to define data strategies and deliver logical/physical data models aligned to analytical workloads   Participate in   on-call   / major incident management, perform backfills where required, and support production stability for owned data products   Qualifications   Strong data engineering programming skills in   Python, Java, and SQL   Solid   programming skills in   Spark & SQL , with hands-on knowledge of optimization and debugging   Hands-on experience with   Snowflake   and   Databricks   as data platforms   Good understanding   of open table formats such as   Apache Iceberg , catalogs (any of   Polaris ,   Horizon ,   Unity ), or metadata frameworks   Experience building production-grade services in cloud environments;   AWS ,GCP   and/or Azure   is preferred   Basic understanding of data modeling and data product concepts    Solid   debugging and performance-tuning skills for data pipelines   Financial services or enterprise data platform background is beneficial 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