Overview

Senior Manager, Data Engineering - Devops (Chennai)

Responsibilities

• Job Summary 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.
• About DU Tech
• 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.
• Lead planning, delivery, and operational performance for data engineering.
• Manage capacity, delivery risks, dependencies, budgets, and vendors as applicable.
• 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.
• Create an inclusive, accountable, and high-performing team environment.

Qualifications

• 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
• Knowledge of SQL, Python or similar languages, ETL/ELT, cloud data platforms, data modeling, orchestration, and data quality
• Strong analytical, problem-solving, written, and verbal communication skills
• & 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
• Manage cloud infrastructure (Azure/AWS/GCP) using Infrastructure as Code (Terraform, ARM, CloudFormation)
• Automate environment provisioning, monitoring, and scaling
• Implement monitoring, alerting, and logging solutions (App Insights, Splunk, Datadog, Prometheus)
• Lead, coach, develop, and motivate team members through clear goals, regular feedback, performance management, and development planning.
• Build and maintain effective relationships with business, technology, vendor, and leadership stakeholders across a matrix environment.
• Develop and maintain clear documentation for the data flows delivered by the engineering team.
• Promote data governance, security, privacy, access management, and compliance considerations in engineering processes.