Engineering Manager

Infosys; Pune District; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

Infosys is seeking an experienced Engineering Manager to lead a data engineering team supporting large-scale, global digital and data transformation initiatives. You will focus on people leadership, delivery quality, stakeholder management, and capability development.

You will mentor engineers, drive best practices, and ensure cohesive collaboration across distributed teams. This role requires strong communication and cloud engineering delivery experience.

Qualifications

• Proven track record of managing complex cloud implementation.
• At least 5 years of experience in data engineering or cloud engineering delivery.
• Excellent communication skills in explaining complex concepts to stakeholders.
• Experience with agile project management methodologies.
• Basic understanding of data engineering practices, technologies and architecture principles.

Responsibilities

• Ensure timely, high-quality delivery of data engineering projects.
• Recruit, mentor, and manage performance and career growth of data engineers.
• Liaise with GDDS team and leaders across regions to align goals.
• Drive engineering best practices and Agile adoption.
• Manage team capacity to balance new projects with maintenance.
• Foster a cohesive team culture across offshore and onshore locations.

Skills

People management

Data engineering

Cloud platforms

Agile project management

Excellent communication

Education

Bachelor of Engineering

Tools

Databricks

Job description

Job Description

• Infosys is looking for an experienced Engineering Manager to lead and develop a high-performing Data Engineering team supporting large-scale, global digital and data transformation initiatives.
• The role will focus on people leadership, engineering delivery, stakeholder management, and capability development. The Engineering Manager will be responsible for ensuring high-quality project delivery, managing team capacity, mentoring engineers, and driving the adoption of engineering best practices across geographically distributed teams.

Roles & Responsibilities

• Ensure the timely and high-quality delivery of data engineering projects and initiatives.
• Recruit, mentor, and manage the performance and career growth of the data engineers.
• Serve as the primary liaison for the GDDS team, ensuring clear communication and alignment with the Engineering Chapter Director, Regional Engineering Managers/Leaders (Europe, Americas, Asia-Pacific), Solution Architects, Product Managers and Product Owners.
• Drive the adoption of engineering best practices and agile methodologies within the team.
• Manage team capacity and resources effectively to balance new projects with ongoing maintenance
• Foster a cohesive and collaborative team culture that spans across the offshore and onshore locations.

Technical Requirement

Core skills:

• Proven people management skills, with the ability to motivate, mentor and inspire team members to deliver high-quality work.
• At least 5 years of experience in data engineering or cloud engineering delivery, with a proven track record of managing complex cloud implementation in technologies such as AWS, Azure, or Google Cloud Platform
• Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders
• Experience with agile project management methodologies

Nice to have:

• Basic understanding of data engineering practices, technologies, architecture principles (e.g. modern data stack, data modeling, ...)

Additional Responsibility

• Effective communication and collaboration across global teams and stakeholders.
• Good analytical and problem-solving skills to align team's skills and capacity with business objectives.
• Customer-centric mindset
• Emotional intelligence and conflict resolution for maintaining a positive work environment.

Educational Requirement

• Bachelor of Engineering

Preferred Skills

• Technology -> Data Engineering -> Databricks

Service Line

• Data & Analytics Unit