> Markdown version of [/jobs/ext/3778354-data-engineering-manager](https://www.wearedevelopers.com/jobs/ext/3778354-data-engineering-manager). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineering Manager - **Company:** Vanguard (USA), Inc. - **Location:** Charlotte, NC, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Data Analysis, Big Data, Data Architecture, Information Engineering, Data Integrity, Data Systems, Data Visualization, Power BI, Tableau (Software), Data Strategy, Data Lakes, Data Management, Stream Processing, Data Pipelines, Databricks - **Published:** October 16, 2026 - **Apply:** https://www.juju.com/job/1_vanguard-177777 ## About the Role Required Qualifications: + Minimum of ten years' business or technical experience including people management and data expertise. + Undergraduate degree or equivalent combination of training and experience. Graduate degree preferred. + 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 (e.g., 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. Preferred Qualifications: + Graduate degree preferred. + Familiarity with data visualization tools (e.g., Tableau, Power BI) and analytics workflows. + Experience driving change and influencing adoption across teams. ## Description generation from large, complex datasets. + Establishes and enforces data quality, governance, and observability practices, ensuring data integrity, consistency, and trust across the data ecosystem. + Partners with senior leaders and cross-functional teams to shape data strategy, influence operating models, and deliver high-impact, outcome-based solutions. + Evaluates and implements modern data technologies and architecture patterns to improve scalability, performance, and developer experience while fostering innovation and continuous improvement. + Participates in special projects and performs other duties as assigned.