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Manager, Data Engineering
Job in
Durham, Durham County, North Carolina, 27703, USA
Listed on 2026-07-20
Listing for:
Jobtailor
Full Time
position Listed on 2026-07-20
Job specializations:
-
IT/Tech
Data Engineering, Data Science Manager
Job Description & How to Apply Below
Responsibilities
- 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 Data Ops 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
- 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.
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