Engineering Manager, Data Platform in India at Jobgether

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Engineering Manager, Data Platform in India.

This role is a senior technical leadership position responsible for building and scaling a high-impact data platform that powers large-scale product, AI, and growth initiatives. You will lead the design and evolution of systems handling massive volumes of behavioral and operational data across millions of users. The platform you own will enable analytics, experimentation, real-time insights, and lifecycle intelligence across multiple teams. This is a highly strategic role combining hands-on architectural leadership with people management. You will guide a team of engineers while shaping the long-term vision of a modern, scalable, and cost-efficient data ecosystem. The environment is fast-paced, product-driven, and deeply collaborative across engineering, product, and marketing functions.

You will be responsible for defining, building, and scaling a robust and efficient data platform while leading a team of engineers and enabling data-driven decision-making across the organization.

• Own the architecture and long-term evolution of the data platform supporting large-scale batch and real-time processing systems
• Design and enhance systems for analytics, experimentation, event tracking, and usage metering
• Ensure platform reliability, scalability, performance, observability, and data quality standards are consistently met
• Lead, mentor, and grow a team of data and platform engineers, fostering ownership and technical excellence
• Collaborate closely with Product, AI, Growth, and Marketing teams to translate business needs into scalable data solutions
• Drive the platform-as-a-product approach, improving usability, adoption, and developer experience
• Optimize infrastructure costs while continuously evaluating and improving tools, systems, and processes
• Support AI and machine learning initiatives by enabling reliable data pipelines and training data capabilities

This role requires strong technical depth in data systems, proven leadership experience, and the ability to operate at both strategic and hands-on levels.

• 7+ years of experience in software or data engineering, including at least 2+ years in an engineering management role
• Strong experience designing and scaling data platforms or distributed systems at production scale
• Hands-on expertise with data processing frameworks such as Spark and streaming or pipeline systems
• Proficiency in backend technologies such as Node.js and modern JavaScript ecosystems
• Solid understanding of ETL/ELT pipelines, data modeling, and analytics infrastructure
• Experience working with cloud platforms such as AWS, GCP, or Azure and modern data stack tools
• Demonstrated ability to make architectural trade-offs and lead complex technical initiatives
• Strong communication skills with experience collaborating across technical and non-technical stakeholders
• Bonus: exposure to AI/ML systems, experimentation platforms, growth analytics, or consumer-scale data environments
• Bonus: familiarity with frontend technologies like React.js for internal tools or dashboards

• Competitive salary with annual performance bonus
• Comprehensive medical, life, and accidental insurance coverage
• Flexible vacation policy and various leave options (including special and personal leaves)
• Hybrid and remote-friendly work environment with flexible working hours
• Learning and development support, including training programs and reimbursements
• Maternity and parental leave policies supporting work-life balance
• Tech and work-from-home stipends, along with onboarding allowances
• Regular virtual and on-site company events fostering collaboration and engagement
• Employee referral programs and access to premium productivity tools