Lead the design, build, and operation of a modern, fully cloud‑native data platform supporting enterprise‑wide analytics, data science, and AI initiatives
Job Summary
Lead the design, build, and operation of a modern, fully cloud‑native data platform supporting enterprise‑wide analytics, data science, and AI initiatives.
Build, mentor, and scale a multi‑disciplinary engineering organization — attracting top data engineers, infrastructure specialists, and SREs.
Employees are eligible to participate in State Street’s comprehensive benefits program, which includes our retirement savings plan (401K) with company match; insurance coverage; paid-time off; and incentive compensation.
Matching Summary
Lead the design, build, and operation of a modern, fully cloud‑native data platform supporting enterprise‑wide analytics, data science, and AI initiatives.
Salary
$170,000 - $267,500 Annual
Skills & Requirements
Must-have
Cloud-native data platform
Large-scale data systems
Distributed computing
Modern cloud architectures
Azure
Data ingestion, transformation, storage, governance, access
Data lakehouse, real-time streaming, metadata catalog, observability, security
CI/CD, IaC, automated testing, schema versioning, data quality
Nice-to-have
AWS or Azure or GCP experience
Modern governance frameworks
AI/ML enablement
Collaboration, continuous improvement
Key Requirements
20+ years software engineering experience
10+ years data infrastructure/platform leadership
Leading large-scale cloud migrations or greenfield builds
Deep understanding of distributed data systems
Hands-on DevOps and DataOps practices
Familiarity with security and compliance frameworks
Strong people-leadership skills
Experience partnering with analytics, ML, and enterprise application teams