Data Engineering Manager

Summary

Join YipitData's dynamic Data Engineering team as a Data Engineering Manager! This hybrid role, based in India (initially remote), offers a flexible schedule with standard IST hours, except for 2-3 days a week requiring US/LatAm team meetings (2:30-10:30 PM IST). You will own the data-orchestration strategy, lead and mentor a team of 3-5 engineers, and architect our data platform. The ideal candidate has 3+ years managing data engineers and 5+ years of experience with orchestration tools, ETL pipelines, and data modeling. This hands-on role requires strong technical skills, leadership abilities, and excellent communication. YipitData offers a people-first culture and significant growth opportunities.

Requirements

• You hold a Bachelor’s or Master’s degree in Computer Science, STEM, or a related technical discipline
• 7+ years in data engineering (or adjacent), including 2-3+ years formally managing 1-3 engineers
• Proven experience designing and operating large-scale orchestration and ETL/ELT pipelines
• A track record of mentoring engineers, elevating team productivity, and hiring bar-raising talent
• The ability to distill complex technical topics into crisp updates for non-technical partners
• You are eager to constantly learn new technologies
• You are a self-starter who enjoys working with both internal and external stakeholders
• You have exceptional verbal and written communication skills

Responsibilities

• Report directly to the Director of Data Engineering, who will provide significant, hands-on training on cutting-edge data tools and techniques
• Hire, onboard, and develop a high-performing team—1-on-1s, growth plans, and performance reviews
• Manage a team of 3-5 Data Engineers
• Serve as the team’s technical north star—review PRs, pair program, and set engineering standards
• Architect and evolve our data platform (batch & streaming) for scale, cost, and reliability
• Own the end-to-end vision and strategic roadmap for various projects
• Create documentation, architecture diagrams, and other training materials
• Translate product and analytics needs into a clear data engineering roadmap and OKRs

Preferred Qualifications

Experience with Airflow, Docker, or equivalent