Technical Program Manager, Data Engineering
Bloomberg Industry Group•Arlington, VA
•$150,000 - $160,000
About The Position
Leads a team of data engineers responsible for building, scaling, and maintaining enterprise data platforms and pipelines. Oversees technical programs, data engineering initiatives, stakeholder alignment, operational excellence, and engineering best practices to deliver reliable, high-quality data solutions supporting analytics, reporting, machine learning, and business decision-making.
Requirements
- 5+ years of experience in technology, data engineering, software engineering, or program management.
- 3+ years of experience leading engineering teams or managing technical programs.
- Strong analytical, organizational, and communication skills.
- Strong understanding of data engineering concepts, including: Data warehousing, ETL/ELT development, Data modeling, Data governance, Batch and real-time processing, Data quality management.
Responsibilities
- Lead, mentor, and develop a team of data engineers, fostering a culture of accountability, innovation, and continuous improvement.
- Establish team objectives, performance expectations, and career development plans.
- Recruit, onboard, and retain top engineering talent.
- Drive engineering best practices, technical standards, and operational excellence.
- Own the planning, prioritization, and execution of complex data engineering initiatives.
- Develop and maintain program roadmaps aligned with organizational and business objectives.
- Manage dependencies, risks, timelines, resources, and stakeholder communications across multiple initiatives.
- Ensure projects are delivered on time, within scope, and meet quality standards.
- Partner with architects and engineering teams to design scalable, secure, and high-performance data solutions.
- Guide the implementation of modern data platforms, ETL/ELT pipelines, data lakes, warehouses, and streaming architectures.
- Ensure data engineering solutions follow best practices for reliability, observability, governance, and security.
- Support architectural reviews and technical decision-making processes.
- Partner closely with business leaders, product managers, analytics teams, data scientists, and platform engineering teams.
- Translate business requirements into executable technical programs.
- Communicate program status, risks, and outcomes to leadership and executive stakeholders.
- Drive alignment across technical and business teams.
- Define and monitor key performance indicators (KPIs) and service-level objectives (SLOs) for data platforms.
- Lead incident response, root cause analysis, and continuous improvement efforts.
- Implement processes that improve data quality, operational efficiency, and system reliability.
- Drive automation and optimization of engineering workflows.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
