Senior Data Engineering Leader - Hybrid, Scalable Platforms

The Vanguard Group; United States; Hybrid; USD 140,000 - 210,000; Full time

Job summary

Vanguard seeks an accomplished senior data engineering leader to own the end-to-end lifecycle of enterprise data products and platforms. You will build a strong leadership bench and foster a high-performing engineering culture while ensuring data quality, governance, and measurable business value.

You will drive data product roadmaps, scalable pipelines, and modern architectures (AWS, Databricks) to enable self-service insights across domains, partnering with senior leadership to deliver

Qualifications

• Ten years plus in business or technical roles with people management and data expertise.
• Undergraduate degree or equivalent; graduate degree preferred.

Responsibilities

• Leads and develops a team of managers, technical leads, and engineers to build a high-performing engineering culture.
• Owns end-to-end lifecycle of enterprise data products, ensuring scalability, reuse, quality, and measurable business value.
• Drives data product roadmaps and engineering initiatives aligned to strategy; ensures adoption and reliability across domains.
• Designs scalable data pipelines, platforms, and frameworks for large, complex datasets to enable self-service insights.
• Establishes data quality, governance, and observability across the data ecosystem; partners with senior leaders to shape data strategy.

Skills

People management

Data engineering

Data platforms

AWS cloud

Databricks

Data governance

Stakeholder alignment

Education

Bachelor's degree or equivalent

Graduate degree preferred

Tools

Tableau

Power BI

Job description

Vanguard seeks an accomplished senior data engineering leader to own the end-to-end lifecycle of enterprise data products and platforms. You will build a strong leadership bench and foster a high-performing engineering culture while ensuring data quality, governance, and measurable business value.

You will drive data product roadmaps, scalable pipelines, and modern architectures (AWS, Databricks) to enable self-service insights across domains, partnering with senior leadership to deliver