Data Platform Engineer, Vice President II - State Street Investment Management
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Job Description
Structured overview of role & requirementsAbout This Role
Lead design and hands-on engineering of a scalable, secure multi-cloud data platform with a focus on unified, cloud-native Lakehouse architecture.
Develop and productionize batch and streaming data pipelines, high-performance Iceberg-based data models, and AI-ready data products supporting operational SLAs.
Mentor and manage support teams for legacy platforms ensuring SLA adherence and timely resolution of production issues affecting business and regulatory compliance.
Minimum Requirements
Master’s degree in computer science or related technical discipline.
15+ years of technology experience, preferably in financial services.
Expert-level hands-on programming in Python and SQL; experience with Java or Scala is a plus.
Deep hands-on expertise with Apache Spark, Snowflake, Databricks, and cloud platforms AWS, GCP, Azure.
Ideal Candidate Profile
Experienced architect/engineer with proven ability to translate reference architectures into production-ready cloud-native data platform solutions.
Strong background in distributed data-processing, performance tuning, and operationalizing data platforms with DevOps/CI-CD practices.
Capable of leading cross-functional teams in fast-paced environments focused on scalable AI-enabled data products and multi-cloud infrastructure.