Data Platform Engineer, VP II

State Street

Confirmed live yesterday High trust

Quick summary

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

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $192k
This role $161k
$107k most similar roles pay here $240k

This role pays less than 66% of similar roles. Most pay $156,125–$227,287 — the shaded 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 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 investment management systems. You will manage the roadmap for a unified, cloud-native data platform covering ingestion, transformation, storage, governance, and secure access. Key responsibilities include designing Iceberg-based tables, building curated semantic layer models, and establishing engineering excellence through CI/CD, IaC with Terraform or CloudFormation, and automated testing. You will work with Python, SQL, Spark, Snowflake, and Databricks on AWS to support high-concurrency analytical workloads. The role addresses the challenge of providing reliable, scalable data products for investment management by integrating open table formats, metadata catalogs, and agentic AI frameworks to optimize software delivery across the full development lifecycle while ensuring strict compliance and performance standards.

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 data engineering excellence through CI/CD, Infrastructure as Code, automated testing, and observability.
  • Define data semantics and product contracts including schemas, SLAs, and governance standards with stakeholders.
  • 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 lifecycle management.
  • Evaluate and integrate 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.
  • Proficiency in Python and SQL, with familiarity with AI-assisted development tools like GitHub Copilot.
  • Deep experience with Spark for batch and streaming processing, including performance tuning and cost optimization.
  • Experience building Lakehouse platforms using Snowflake and Databricks on AWS or Azure.
  • Knowledge of open table formats such as Apache Iceberg and metadata governance services.
  • Expertise in architecting enterprise DevOps, CI/CD pipelines, and infrastructure as code (Terraform/CloudFormation).
  • Experience with zero-copy data sharing, data virtualization, and governed data access patterns.

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