Unified Data Platform Manager at eBay in Bengaluru

Job description

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. Role Overview We are looking for an experienced Software Engineering Manager to lead the engineering team responsible for our Unified Data Platform , a foundational platform supporting large-scale data processing, analytics, search, and data-driven applications across the company. The team owns critical platform capabilities including Hadoop, ETL and data processing platforms, Elasticsearch, Apache Airflow, and Data Lake Studio . In this role, you will lead a team of engineers responsible for building, operating, and evolving highly scalable and reliable data infrastructure. You will define technical and organizational priorities, drive platform strategy and execution, and partner with engineering teams across the company to provide efficient, reliable, and easy-to-use data platform capabilities. Key Responsibilities Engineering & People Leadership Lead, mentor, and grow a team of software and platform engineers responsible for business-critical data infrastructure. Define engineering priorities and translate platform strategy into clear, executable roadmaps. Build a strong engineering culture focused on technical excellence, ownership, reliability, collaboration, and continuous improvement. Recruit, develop, and retain strong engineering talent through coaching, career development, and performance management. Partner with senior engineers and architects to drive technical direction and long-term platform evolution. Platform Ownership & Strategy Own the strategy, architecture, roadmap, and execution for the Unified Data Platform, including: Hadoop Platform – large-scale distributed storage and data processing infrastructure. ETL Platform – scalable infrastructure and frameworks for production data pipelines. Apache Airflow – workflow orchestration, scheduling, and operational capabilities. Elasticsearch Platform – large-scale search, indexing, and data-serving infrastructure. Data Lake Studio – developer-facing tools and experiences for data development, discovery, processing, and analytics. Drive platform standardization and integration to provide a consistent experience across storage, compute, data processing, orchestration, and developer tooling. Develop self-service platform capabilities that simplify infrastructure complexity and improve engineering productivity. Drive architectural evolution to support increasing scale, workload diversity, reliability, and business requirements. Identify opportunities to simplify the platform, reduce operational complexity, and improve infrastructure efficiency. Reliability & Operational Excellence Ensure scalability, availability, performance, security, and operational excellence across mission-critical platforms. Establish and track platform SLAs/SLOs and engineering metrics around reliability, performance, capacity, adoption, and efficiency. Drive improvements in observability, automation, capacity management, incident response, and disaster recovery. Lead technical reviews and post-incident analysis for significant platform issues and drive systemic improvements. Promote engineering practices that improve platform resilience and reduce operational overhead. Cross-Functional Leadership Partner with data engineering, analytics, infrastructure, security, and application teams to understand requireme