Senior Manager Data Engineering

At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.

Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet.

Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all.

As an Engineering Sr. Manager at eBay India Analytics Center, you will bridge data engineering and data science, to build robust data platforms, optimize pipelines at scale, and create data products for downstream business and data science teams.

You will be responsible for project delivery, oversee team performance, and collaborate with clients. The role requires strong technical leadership, stakeholder management and team handling.

Role & Responsibilities

- Team Leadership: Manage, mentor, and grow teams of engineers while reviewing their daily work.

- Platform Architecture: Architecting and tuning scalable data ecosystems using inhouse eBay data platforms.

- Delivery Management: Oversee the data engineering development lifecycle. Ensure projects are finished on time and fit business needs.

- Risk & Quality Control: Track project metrics, fix issues, and manage risks to keep team productivity high.

- Stakeholder Interaction: Work directly with analytics and business leaders to align technical plans with business goals.

Core Requirements

- Experience: 10 to 15 years in data engineering with previous team management.

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Technical Skills:

- Strong development background in modern data stacks on-prem and cloud : AWS / Azure. Expertise in SQL, Python, PySpark.

- Sound understanding of DB Design, Data Modelling, Data Management and Governance, Building semantic models.