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
Key Primary Skills
Experience leading global teams, managed service partners, large-scale transformation programs, or enterprise platform modernization initiatives / Deep understanding of modern data platforms, lakehouse architecture, BI platforms, AI/ML platforms, MLOps, data governance, responsible AI, and cloud technologies / Experience with Azure, AWS, GCP, Databricks, Snowflake, Synapse, Power BI, machine learning platforms, or similar enterprise data and AI ecosystems
Secondary Skills
"• Solid analytical and problem-solving skills.
• Experience working in cross-functional or matrix organizations.
• Ability to communicate effectively with both, technical and non-technical audiences"

📌 Senior Manager, Data Engineering (India)
🏢 DU Tech
📍 India