Data Platform Engineer, VP II

State Street

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Quincy, MA
Salary
$120,000–$202,500 / yr
Employment
Full-time
Posted
78 days ago
Freshness
Confirmed live today
Closes
Nov 11, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $192k
This role $161k
$107k $238k
below market most similar roles pay here above market

This role pays less than 68% of similar roles. Most pay $158,272–$225,198 — the blue band above. At the midpoint, this role pays about $161k versus about $192k 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 351 open roles on FindRole.

Listed pay typically runs $115,000–$195,944 across 199 roles with salary data.

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At a glance

TL;DR · Data Platform Engineer, VP II

The Data Platform Engineer, VP II - State Street Investment Management joins the Data, Analytics & AI Services team to lead architecture, engineering execution, and modernization strategy for the investment management business. This role is responsible for the operational excellence of modern data platform and software capabilities. You will build a unified, cloud-native data platform spanning ingestion, transformation, storage, and governance. Key responsibilities include designing Iceberg-based tables, optimizing Spark batch and streaming performance, and establishing CI/CD and IaC practices using Terraform or CloudFormation. You will utilize Python, SQL, Snowflake, Databricks, and AWS to support high concurrency analytical workloads. The role solves complex data problems by creating curated semantic layer models, ensuring reliable data product contracts, and implementing zero-copy data sharing for mission-critical financial services.

What you'll do

  • Execute the long-term vision and roadmap for a unified, cloud-native data platform.
  • Design and optimize Iceberg-based tables for performant analytical access across multiple compute engines.
  • Establish data engineering excellence through CI/CD, Infrastructure as Code, and automated testing.
  • Define data semantics and product contracts with stakeholders to ensure governance and compliance.
  • Build and publish curated semantic layer models to expose governed BI endpoints and APIs.
  • Optimize pipeline and query performance using partitioning, clustering, and data lifecycle patterns.
  • Advance the use of agentic AI frameworks to improve software delivery across the SDLC.

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 the ability to design, debug, and optimize distributed data processing.
  • Deep experience with Spark batch and streaming including performance tuning, troubleshooting, 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 and metadata ecosystems, including Apache Iceberg and table catalogs.
  • Extensive experience architecting enterprise DevOps and CI/CD pipelines with cloud-agnostic solutions across public cloud providers.
  • Expertise in zero-copy data sharing, data virtualization, catalog federation, and governed data access patterns.

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