Lead Software Engineer, VP

State Street

Hybrid

Quick summary

Work type: Hybrid
Location: Boston, MA
Salary: $120,000–$202,500 / yr
Posted: 3 days ago
Closes: Jul 7, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $195k

This role $161k

$107k most similar roles pay here $242k

This role pays less than 85% of similar roles. Most pay $167,100–$223,725 — the shaded band above. At the midpoint, this role pays about $161k versus about $195k for comparable roles.

Based on 239 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 145 open roles on FindRole.

Listed pay typically runs $120,000–$188,750 across 143 roles with salary data.

Most-posted roles

View all roles at State Street

At a glance

TL;DR · Lead Software Engineer, VP

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We are seeking a lead software engineer with extensive experience in developing and maintaining cloud-based data warehousing solutions for financial clients. This role involves providing technical leadership on the Data Engineering and Data Delivery team, which is crucial for delivering timely and reliable financial data to support business operations. Day-to-day responsibilities include designing scalable data pipelines using Azure, Databricks, and Snowflake, working closely with global teams to deliver high-quality data for AI/ML models, and optimizing total cost of ownership. The ideal candidate will have a strong background in performance analytics services and experience with release engineering automation, as well as the ability to address complex data issues and perform root cause analysis. A bachelor’s degree in computer science or IT is required along with 10+ years of relevant industry experience.

Skills

Azure DataBricks Snowflake Python AI ML CI/CD Docker Kubernetes Terraform PostgreSQL AWS Git Jenkins Prometheus Grafana Scalable Data Pipelines Total Cost Optimization Root Cause Analysis

What you'll do

Provide technical leadership and oversight for architecture, system design, and code quality.
Design, build, and maintain scalable data pipelines on Azure, DataBricks, and Snowflake.
Work with global teams to deliver reliable AI/ML models and high-quality data for business intelligence.
Support implementation teams by providing platform accelerators and design patterns.
Optimize total cost of ownership for compute and platform infrastructure.
Manage overnight processing of investment accounting/fund performance data and client information delivery.

What we're looking for

Extensive experience designing and maintaining scalable data pipelines on Azure, DataBricks, and Snowflake.
Proven ability to provide technical leadership in architecture, system design, code quality, and mentoring.
Expertise in performance and analytics services for AI/ML models and business intelligence.
Strong background in release engineering automation and platform accelerators for multi-region deployments.
Bachelor’s Degree in computer science or IT with over 10 years of relevant experience.
Experience in optimizing total cost of ownership for compute and infrastructure platforms.
Capable of addressing data issues, performing root cause analysis, and implementing corrective maintenance.

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