Senior Manager, Data Engineering

GCC client of DuTech; Chennai District; On-site; INR 3,000,000 - 5,500,000; Full time

Job summary

GCC client of DuTech in Chennai, India, is seeking an experienced Data Engineering Lead to steer planning, delivery, and operational performance for data initiatives.

You will guide a team responsible for data pipelines, platforms, integration, quality, and governed data products, translating priorities into roadmaps and measurable outcomes while upholding security, privacy, and compliance standards.

Qualifications

• 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.

Responsibilities

• 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.
• 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.

Skills

SQL

Python

ETL/ELT

Cloud data platforms

Data modeling

Orchestration

Data quality

Education

Bachelor's degree in Computer Science, Information Technology, Engineering, Design, Analytics, Business, or a related discipline

Job description

Role & 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.

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 candidate profile

• 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