Senior Data Engineering Manager

Vanguard • Malvern, PA

1d • Hybrid

About The Position

The Senior Data Engineering Manager leads data engineering teams and owns the lifecycle of enterprise data products and platforms, from definition and development through delivery and optimization. The role directs data product roadmaps and engineering initiatives aligned with business outcomes and enterprise strategy, while promoting scalability, reuse, quality, adoption, reliability, and measurable business value.

The position leads the design and development of scalable data pipelines, platforms, and frameworks that support data integration, self-service consumption, and insight generation from large, complex datasets. It establishes data quality, governance, and observability practices and partners with senior leaders and cross-functional teams to shape data strategy, operating models, and outcome-based solutions. The role also evaluates modern data technologies and architecture patterns to improve scalability, performance, and developer experience, and participates in special projects and other assigned duties.

Vanguard uses a hybrid working model for the majority of its crew members, combining flexibility with in-person learning, collaboration, and connection. Vanguard is not offering visa sponsorship for this position.

Requirements

• Minimum of ten years of business or technical experience, including people management and data expertise.
• Undergraduate degree or equivalent combination of training and experience.
• Experience leading data engineering teams and delivering scalable data solutions.
• Experience partnering with business and technical stakeholders to define requirements and deliver data solutions.
• Experience translating business needs into data engineering solutions or products.
• Proven track record delivering data initiatives in complex or ambiguous environments.
• Experience with modern data engineering technologies, cloud platforms such as AWS, and contemporary data architectures, including data lakes, real-time data processing, and platforms such as Databricks.
• Hands-on or leadership experience with data modeling, data quality, and data management practices.

Nice To Haves

• Graduate degree preferred.
• Familiarity with data visualization tools such as Tableau or Power BI and analytics workflows.
• Experience driving change and influencing adoption across teams.

Responsibilities

• Lead and develop managers, technical leads, and engineers; build a strong leadership bench and high-performing engineering culture through performance standards, coaching, and career development.
• Own the end-to-end lifecycle of enterprise data products and platforms, including definition, development, delivery, and optimization.
• Direct the planning, prioritization, and execution of data product roadmaps and engineering initiatives aligned with business outcomes and enterprise strategy.
• Lead the design and development of scalable data pipelines, platforms, and frameworks for data integration, self-service consumption, and insight generation from large, complex datasets.
• Establish and enforce data quality, governance, and observability practices to support data integrity, consistency, and trust.
• Partner with senior leaders and cross-functional teams to shape data strategy, influence operating models, and deliver outcome-based solutions.
• Evaluate and implement modern data technologies and architecture patterns to improve scalability, performance, and developer experience while fostering innovation and continuous improvement.
• Participate in special projects and perform other duties as assigned.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior