Head of Data Platform Engineering

State Street

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Boston, MAPrinceton, NJQuincy, MAClifton, NJ
Salary
$225,000–$337,500 / yr
Posted
12 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $197k
This role $281k
$117k most similar roles pay here $361k

This role pays more than 93% of similar roles. Most pay $169,550–$223,750 — the shaded band above. At the midpoint, this role pays about $281k versus about $197k 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.

Most-posted roles

View all roles at State Street

At a glance

TL;DR · Head of Data Platform Engineering

Global Head of Data Platform Engineering, SVP leads a global organization of over 100 engineers to design, build, and operate enterprise-grade, AI-ready data platforms across cloud and on-premise environments. This hands-on leadership role focuses on developing industrial-strength infrastructure including ingestion, integration, lakehouse architectures, and batch or streaming processing. The successful candidate will implement Site Reliability Engineering practices such as observability and error budgets while adopting a product mindset to deliver developer-friendly tools and APIs. Key responsibilities include modernizing legacy systems, ensuring high availability, and providing foundational capabilities for AI use cases like feature engineering and vector data. The role requires expertise in distributed systems, Agile delivery models, and large-scale data processing to support complex business functions including investment management and global markets within a highly regulated, data-intensive environment.

What you'll do

  • Lead and scale a global engineering organization of over 100 professionals across platform, data, and reliability engineering domains.
  • Design, build, and operate enterprise-grade data platforms including ingestion, storage, processing, and serving layers.
  • Implement Site Reliability Engineering (SRE) practices to ensure high availability, performance, and automated incident management.
  • Execute a product-centric roadmap using Agile methodologies to deliver scalable, developer-friendly data services and tools.
  • Architect and manage hybrid cloud and on-premise infrastructure to ensure seamless data flow and cost efficiency.
  • Provide AI-ready data capabilities including structured/unstructured pipelines and feature engineering for the AI Platform team.
  • Modernize and rationalize legacy systems by migrating fragmented pipelines into standardized, enterprise-wide platforms.
  • Partner with cross-functional teams to ensure all platforms meet corporate standards for security, compliance, and reliability.

What we're looking for

  • Experience managing large-scale engineering organizations of 100+ people.
  • Expertise in building and operating mission-critical data platforms at enterprise scale.
  • Deep knowledge of distributed systems, cloud-native architectures, and hybrid environments.
  • Proficiency in batch and streaming data processing for large-scale data pipelines.
  • Experience implementing Site Reliability Engineering (SRE) practices including SLAs, SLOs, and observability.
  • Proven ability to lead teams using Agile engineering and product delivery frameworks.
  • Ability to design AI-ready data capabilities including feature engineering and vector-based data support.
  • Preferred experience in financial services or other highly regulated, data-intensive environments.

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