
Posted 2 days ago
Head of Data Platform Engineering
State StreetHead of Data Platform Engineering, MD
Perks & benefits
CommissionHealth InsurancePaid Leave
Requirements
20+ years software engineering experience, 10+ years data infrastructure leadership, Cloud migration experience, Distributed data systems expertise, DevOps and DataOps proficiency, People leadership skills
Skills
AzureSnowflakeDatabricksKafkaKubernetesTerraform
About the role
Responsibilities
- Define and execute the long-term vision and architecture for a unified, cloud-native data platform.
- Lead engineering teams building core components including data lakehouses, real-time streaming, and metadata catalogs.
- Drive the selection and adoption of modern technologies such as Snowflake, Databricks, Kafka, and Airflow.
- Establish high-quality data engineering foundations through CI/CD, IaC, and automated testing.
- Partner with Product, Analytics, and ML teams to define data contracts, SLAs, and governance standards.
- Build, mentor, and scale a multi-disciplinary engineering organization of data engineers and SREs.
- Represent data platform strategy to executive leadership to ensure alignment with business goals.
Requirements
- 20+ years of software engineering experience, with at least 10 years in data infrastructure or platform leadership.
- Proven track record of leading large-scale cloud migrations or greenfield cloud-native data platform builds.
- Deep expertise in distributed data systems, including storage (object stores, lakehouses), compute (Spark, Flink), and event streaming (Kafka).
- Proficiency in modern DevOps and DataOps practices, including Kubernetes and infrastructure automation.
- Strong people leadership skills with experience building and coaching high-performance teams across geographies.
- Exceptional communication skills with the ability to articulate complex technical concepts to executives.
Preferred Qualifications
- Experience architecting platforms using Azure Data Services, AWS, or GCP.
- Familiarity with modern governance frameworks such as Unity Catalog, Collibra, or Alation.
- Exposure to AI/ML enablement, including feature stores and model registries.
- Engineering degree in Computer Science or a related field.
Benefits
- Comprehensive retirement savings plan (401K) with company match.
- Medical, dental, vision, and long-term disability insurance.
- Paid time off, including vacation, sick leave, and family care responsibilities.
- Incentive compensation and annual performance-based awards.
About the Company
State Street is a leading global provider of financial services to institutional investors. Through Charles River Development and State Street Alpha®, we integrate data, technology, and services to help clients navigate complexity and drive innovation in the financial markets.
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State Street · Burlington
