Engineering Manager
Confirmed on the employer's own hiring board on Oct 22, 2026. First seen by Alion on Oct 19, 2026. Infosys scores A on the Alion truth index.
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.
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 requirements
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 responsibilities
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.
Preferred skills
Technology->Data Engineering->Databricks
Education
Bachelor of Engineering