Data Platform Engineer, Vice President II - State Street Investment Management
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Job Description
Structured overview of role & requirementsAbout This Role
Hands-on architect and engineer responsible for building and validating a multi-cloud open architecture data platform, including development of POCs for a resilient, scalable, secure Lakehouse.
Optimize and engineer scalable batch and streaming data pipelines and high-performance Iceberg-based data models using Python/Scala, Spark, SQL, and modern orchestration frameworks.
Manage and mentor Bangalore-based team maintaining legacy data platform, ensuring SLA adherence and operational support.
Minimum Requirements
Master’s degree in computer science or related technical discipline.
15+ years of technology experience, preferably in financial services.
Expert hands-on programming in Python and SQL; Java or Scala is a plus.
Deep expertise with Apache Spark, enterprise Lakehouse platforms (Snowflake, Databricks), and cloud engineering across AWS, GCP, Azure.
Ideal Candidate Profile
Experienced in large-scale distributed data platform architecture and engineering, including batch, streaming, and AI-ready data workloads.
Proficient in operationalizing data platforms via DevOps, CI/CD, automated testing, and incident management for mission-critical environments.
Skilled in integrating open data architectures and metadata ecosystems such as Apache Iceberg and modern governance frameworks.