Data Platform Engineer, VP II

State Street

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Quincy, MA
Salary
$120,000–$202,500 / yr
Posted
23 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $191k
This role $161k
$107k most similar roles pay here $238k

This role pays less than 66% of similar roles. Most pay $156,125–$225,000 — the shaded band above. At the midpoint, this role pays about $161k versus about $191k for comparable roles.

Based on 240 similar postings.

Employer

About State Street

State Street Corporation is one of the world''s largest custodian banks and asset managers, providing investment servicing, investment management, and investment research to institutional investors. Industry: Financial Services & Asset Custody

State Street currently has 176 open roles on FindRole.

Listed pay typically runs $120,000–$202,500 across 172 roles with salary data.

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At a glance

TL;DR · Data Platform Engineer, VP II

As a Data Platform Engineer, VP II - State Street Investment Management, you will join the Data, Analytics & AI Services team to lead architecture, engineering execution, and modernization for the investment management business. You will be responsible for building a unified, cloud-native data platform covering ingestion, transformation, storage, governance, and secure access. Your daily work involves designing Iceberg-based tables, establishing CI/CD and IaC via Terraform or CloudFormation, and developing curated semantic layer models to provide governed BI endpoints. The role requires expertise in Python, SQL, Spark, Snowflake, Databricks, and AWS. You will manage complex data pipelines for OLAP and OLTP workloads while integrating agentic AI frameworks into the software development life cycle. This position solves critical infrastructure challenges by ensuring reliability, scalability, and performance for high-concurrency analytical workloads within a sophisticated financial services environment.

What you'll do

  • Execute the long-term vision, architecture, and roadmap for a unified, cloud-native data platform.
  • Design and optimize Iceberg-based tables for performant analytical access across multiple compute engines.
  • Establish engineering excellence through CI/CD, Infrastructure as Code, automated testing, and data quality controls.
  • Define data semantics and product contracts including schemas, SLAs, and documentation with cross-functional partners.
  • Build and publish curated semantic layer models to provide governed BI endpoints and consumption APIs.
  • Optimize pipeline and query performance using partitioning, clustering, caching, and data lifecycle management.
  • Evaluate and implement agentic AI frameworks to improve software delivery across the development lifecycle.

What we're looking for

  • Master’s degree in Computer Science or a related engineering discipline.
  • 15+ years of technology experience in the financial services industry.
  • Strong hands-on programming in Python and SQL, with familiarity with AI-assisted development tools.
  • Deep experience with Spark for batch and streaming, including performance tuning and cost-aware optimization.
  • Hands-on experience building and operating modern Lakehouse platforms using Snowflake and Databricks on AWS or Azure.
  • Working knowledge of open table formats like Apache Iceberg and metadata ecosystems.
  • Extensive hands-on experience architecting enterprise DevOps and CI/CD pipelines with cloud-agnostic solutions.
  • Expertise in zero-copy data sharing, data virtualization, and governed data access patterns.

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