Senior Manager, Data Engineering
Summary
A people-leader role heading data engineering: the manager plans and delivers data pipelines, data platforms, integration, data quality, and governed data products while coaching the team, managing risks, budgets, and stakeholders. Core stack includes SQL, Python, ETL/ELT, cloud data platforms, data modeling, and orchestration.
Job
Summary - Job Description (Internal) | Job
Summary - Job Advert (External) |
The
Senior Manager, Data Engineering leads data engineering delivery and
operational performance across data pipelines, data platforms, integration,
data quality, and governed data products. This people-leader role translates
business and product priorities into plans, establishes quality and
governance expectations, manages risks and dependencies, and develops a
high-performing team that delivers measurable outcomes. | DU
Tech is looking for a Senior Manager, Data Engineering to lead data
engineering capabilities across data pipelines, data platforms, integration,
data quality, and governed data products. This role combines people
leadership, delivery accountability, stakeholder partnership, and disciplined
execution to deliver reliable, scalable, secure, and customer-focused
outcomes. |
Job
Responsibilities | |
Delivery & Execution • Lead planning, delivery, and operational performance for data
engineering. • Guide a team responsible for data pipelines, data platforms,
integration, data quality, and governed data products. • Translate priorities into roadmaps, plans, backlogs, and
measurable outcomes. • Reinforce quality, architecture, security, privacy, compliance,
and operational standards. • Manage capacity, delivery risks, dependencies, budgets, and
vendors as applicable. • Use metrics to improve quality, speed, reliability, cost, and
stakeholder value. Support & Enablement • Lead, coach, and develop team members; support hiring,
performance, and talent processes. • Build strong partnerships across business, product,
architecture, security, data, and technology teams. • Communicate priorities, progress, risks, and decisions clearly. • Create an inclusive, accountable, and high-performing team
environment. |
Requirements
• Bachelor's degree in
Computer Science, Information Technology, Engineering, Design, Analytics,
Business, or a related discipline
• 10 to 12 years of relevant
experience in data engineering or a closely related discipline
• Experience with data
pipelines, data platforms, integration, data quality, and governed data
products
• Experience leading teams,
workstreams, programs, or technology delivery in a complex organization
• Knowledge of SQL, Python or
similar languages, ETL/ELT, cloud data platforms, data modeling, orchestration,
and data quality
• Experience collaborating
across business and technology teams
Preferred
Qualifications & Interests (PQIs) |
• Master's degree in a related technical or business field is
preferred • Advanced knowledge of SQL, Python or similar languages,
ETL/ELT, cloud data platforms, data modeling, orchestration, and data quality • Experience with enterprise-scale cloud, data, digital, retail,
pharmacy, healthcare, or customer technology environments • Experience working with global teams, managed service partners,
or distributed delivery models • Relevant industry, cloud, agile, product, architecture, data,
security, design, or technology certifications are preferred |