Hiring Manager/Lead Data Engineer in Mumbai

General Mills; Mumbai; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

General Mills is seeking a seasoned Data Engineering Manager to lead a global team of managers, mentor engineers, and drive a culture of learning and accountability. You will shape data platforms, ensure delivery excellence, and partner with business and technology stakeholders across regions.

The role emphasizes cloud-based architectures, scalable data solutions, and governance. You will mentor talent, optimize operating models, and champion best practices in data quality and agile delivery to

Qualifications

• 15+ years in data engineering.
• 5+ years of people leadership, managing mid-to-large data engineering teams.
• Strong stakeholder management with senior leaders.
• Hands-on with cloud data platforms.
• Experience in Agile/Product team environments.
• Excellent communication and collaboration across time zones.
• Strong analytical and problem-solving capabilities.

Responsibilities

• Directly manage, coach, mentor, and performance manage a team of Data Engineering Managers, fostering a culture of learning, innovation, and collaboration.
• Build and maintain strong relationships with key business and technology stakeholders, ensuring effective communication regarding project status, risks, and opportunities.
• Collaborate with stakeholders to deeply understand their data needs and priorities, translating them into actionable data engineering initiatives.
• Champion a Data Engineering culture of Learning, Belonging, and Accountability, driving employee engagement and development initiatives.
• Oversee resource allocation and capacity planning for the Data Engineering team, working with project and solution managers to ensure appropriate staffing.
• Manage vendor relationships and contracts as needed, ensuring optimal value and alignment with Data Engineering goals.
• Identify and lead initiatives to improve the efficiency and effectiveness of the Data Engineering operating model, streamlining processes and automating tasks.
• Drive the adoption of best practices, standards, and data quality improvements across the Data Engineering team.
• Participate in the development and drive the implementation of short-term and long-term strategic initiatives for Data Engineering, ensuring alignment with business goals.
• Provide technical guidance and mentorship to the Data Engineering team, staying up-to-date on the latest trends and technologies, and contributing to the development of data architecture and standards.

Skills

People leadership

Stakeholder management

Data engineering

Cloud platforms

Data architecture

Agile methodologies

Communication

Analytical thinking

Job description

Role & responsibilities

• Directly manage, coach, mentor, and performance manage a team of Data Engineering Managers, fostering a culture of learning, innovation, and collaboration.
• Build and maintain strong relationships with key business and technology stakeholders, ensuring effective communication regarding project status, risks, and opportunities.
• Collaborate with stakeholders to deeply understand their data needs and priorities, translating them into actionable data engineering initiatives.
• Champion a Data Engineering culture of Learning, Belonging, and Accountability, driving employee engagement and development initiatives.
• Oversee resource allocation and capacity planning for the Data Engineering team, working with project and solution managers to ensure appropriate staffing.
• Manage vendor relationships and contracts as needed, ensuring optimal value and alignment with Data Engineering goals.
• Identify and lead initiatives to improve the efficiency and effectiveness of the Data Engineering operating model, streamlining processes and automating tasks.
• Drive the adoption of best practices, standards, and data quality improvements across the Data Engineering team.
• Participate in the development and drive the implementation of short-term and long-term strategic initiatives for Data Engineering, ensuring alignment with business goals.
• Provide technical guidance and mentorship to the Data Engineering team, staying up-to-date on the latest trends and technologies, and contributing to the development of data architecture and standards.

Experience required

• 15+ years of overall experience in Data Engineering.
• 5+ years of people leadership, managing mid-to-large data engineering teams, including engineering managers.
• Strong experience in stakeholder management and influencing senior business leaders.
• Deep understanding of data engineering principles, architecture, and best practices.
• Hands-on experience with cloud-based data platforms.
• Experience working in Agile/Product team environments.
• Excellent communication and collaboration skills across global teams and time zones.
• Strong analytical and technical problem-solving capabilities.

Preferred Skills

• Expertise in Google Cloud Platform (GCP).
• Strong knowledge of Big Data technologies, Data Warehousing, and ETL/ELT frameworks.
• Experience designing scalable data architectures.
• Proven track record of leading and delivering large-scale data engineering projects.