Global Head of Data Platform Engineering, SVP

State Street

Quick summary

Work type
On-site
Location
Boston, MAPrinceton, NJQuincy, MAClifton, NJ
Salary
$225,000–$337,500 / yr
Posted
2 days ago
Closes
Jul 31, 2026
Nearby
99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $191k
This role $281k
$136k most similar roles pay here $359k

This role pays more than 97% of similar roles. Most pay $157,200–$223,812 — the shaded band above. At the midpoint, this role pays about $281k 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 156 open roles on FindRole.

Listed pay typically runs $120,000–$188,750 across 152 roles with salary data.

Most-posted roles

View all roles at State Street

At a glance

TL;DR · Global Head of Data Platform Engineering, SVP

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The Head of Data Platform Engineering is a deep, hands-on leadership role within State Street’s global organization, overseeing 100+ engineers to build and operate mission-critical data platforms. This leader designs, builds, and operates enterprise-grade data platforms using modern engineering practices, Agile methodologies, and SRE principles, ensuring secure, resilient, and high-performance capabilities across various business units. Key responsibilities include leading the full lifecycle of platform development from engineering and deployment to continuous improvement, while embedding SRE practices for reliability and operational excellence. The role requires expertise in cloud-native architectures, large-scale data processing, and experience with distributed systems, as well as a strong background in financial services or similar regulated environments.

Skills

SRE Agile Kubernetes Docker CI/CD AWS Azure GCP PostgreSQL Snowflake Apache Kafka Apache Hadoop Python Java Go Cloud Native Hybrid Cloud Data Lakehouse Batch Processing Streaming Data APIs SDKs Prometheus Grafana

What you'll do

  • Design and build enterprise-grade data platforms using modern engineering practices.
  • Lead a global team of over 100 engineers in platform development and operations.
  • Embed SRE practices to ensure high reliability and observability of data platforms.
  • Implement Agile delivery models for continuous improvement and iteration.
  • Architect cloud-native and hybrid data platforms for scalability and performance.

What we're looking for

  • Senior leadership experience managing large-scale (100+) engineering organizations
  • Deep hands-on expertise in data platforms and distributed systems
  • Proven experience building and operating mission-critical platforms at enterprise scale
  • Strong experience implementing SRE practices and Agile delivery frameworks
  • Expertise in cloud-native and hybrid architectures, including public and private clouds
  • Background in financial services or similarly regulated, data-intensive environments preferred
  • Ability to drive platform modernization and rationalization initiatives

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