Manager, Data Engineering

Vanguard

Data Engineering Manager at Vanguard, leading teams in building scalable data platforms and delivering high-impact data use cases. Collaborating across product, analytics, and ML teams to drive engineering excellence.

Posted 6/9/2026full-timeMalvern • North Carolina, Pennsylvania, Texas • 🇺🇸 United StatesSeniorLeadWebsite

Tech Stack

Tools & technologies

AWSCloud

About the role

Key responsibilities & impact

Lead a team of data engineers to build and operate scalable, reliable data pipelines and platforms
Drive engineering excellence (code quality, CI/CD, testing, observability, incident management)
Partner with product and analytics to prioritize and deliver high-impact data use cases
Own production support, incident response, and continuous improvement of data systems
Establish and scale DataOps practices across development and operations
Collaborate across AWMT D&A to enable data products that support personalization and analytics
Hire, develop, and grow engineering talent and future tech leads
End-to-end delivery and operation of data pipelines and platforms supporting advice products
Engineering quality, reliability, and standardization across your team
Talent development for data engineers and tech leads
Cross-team alignment with product, analytics, and ML engineering
Improving reliability and observability of production data pipelines
Driving adoption of consistent pipeline frameworks and engineering standards
Enabling scalable data foundations for ML and GenAI use cases
Strengthening team execution, prioritization, and stakeholder trust

Requirements

What you’ll need

Experience leading data engineering teams delivering production data platforms
Strong understanding of modern data architectures and cloud-based data ecosystems
Track record of improving engineering quality, reliability, and delivery at scale
Experience partnering with product, analytics, and ML teams
Demonstrated ability to develop engineers and build high-performing teams
Cloud-native data platforms (AWS: S3, Glue, Athena, etc.)
Batch and event-driven data pipelines
Data modeling and large-scale data processing
Data platforms supporting ML and GenAI use cases
Observability, monitoring, and operational excellence for data systems
Minimum of eight years data analytics, programming, database administration, or data management experience.
Undergraduate degree or equivalent combination of training and experience.
Graduate degree preferred.

Benefits

Comp & perks

Health insurance
401(k) matching
Flexible work hours
Paid time off
Professional development opportunities

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data engineeringdata pipelinesdata platformsdata modelinglarge-scale data processingobservabilitymonitoringcloud-native data platformsbatch processingevent-driven data pipelines

Soft Skills

leadershipteam developmentcollaborationstakeholder trustprioritizationengineering excellenceincident managementcontinuous improvementcross-team alignmenttalent development

Certifications

undergraduate degreegraduate degree