Vanguard
Vanguard
Vanguard is a global investment management company serving investors through products such as mutual funds and exchange-traded funds. Its work is guided by a long-term focus on helping clients pursue investment success, with an emphasis on fairness and keeping investors at the center of decision-making. Vanguard’s culture values teamwork, inclusion, and the contribution of diverse perspectives and experiences.

Senior Data Engineering Manager at Vanguard, Charlotte Hybrid

Lead Vanguard’s enterprise data engineering teams and platforms, shaping scalable pipelines, governance, and data products. Set engineering roadmaps and partner across the business to deliver data solutions.

Description

  • Guide managers, technical leads, and engineers, supporting their growth and performance.
  • Develop engineering leaders and build a high-performing team culture.
  • Set performance expectations, coach team members, and help them advance their careers.
  • Oversee enterprise data products and platforms from planning through delivery and ongoing management.
  • Set priorities and lead execution of data product roadmaps and engineering initiatives.
  • Direct the creation of scalable data pipelines, platforms, and frameworks.
  • Define and uphold practices for data quality, governance, and observability.
  • Work with senior leaders and cross-functional partners to shape data strategy and operating models.
  • Assess and adopt modern data technologies and architectural approaches.
  • Contribute to special projects and carry out other assigned responsibilities.

Requirements

  • At least ten years of business or technical experience, including people management and data expertise.
  • An undergraduate degree, or an equivalent combination of training and experience.
  • Background leading data engineering teams and delivering scalable data solutions.
  • Experience working with business and technical stakeholders to establish requirements and deliver data solutions.
  • Ability to turn business needs into data engineering solutions or products.
  • A record of delivering data initiatives in complex or ambiguous settings.
  • Experience with current data engineering tools, cloud platforms such as AWS, and modern data architectures.
  • Experience with data lakes, real-time processing, and platforms such as Databricks.
  • Practical or leadership experience in data modeling, data quality, and data management.
  • Visa sponsorship is not available for this position.

Benefits

  • Hybrid work that supports flexibility, in-person learning, collaboration, and connection.
  • Opportunities for career growth and learning.
  • A focus on long-term financial wellbeing.

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