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About the role
Lead data engineering delivery and operational performance across pipelines, platforms, integration, data quality, and governed data products. Develop the team, translate business priorities into measurable plans, and uphold quality, security, compliance, and operational standards.
What they look for
Requirements
Requires a bachelor's degree in a relevant discipline and 10 to 12 years of relevant experience, including experience with data engineering capabilities and leading teams or technology delivery. Candidates should know SQL, Python or similar languages, ETL/ELT, cloud data platforms, data modeling, orchestration, and data quality, with a master's degree and relevant certifications preferred.
Full description
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
- Strong analytical, problem-solving, written, and verbal communication
skills
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
