Data Lake Studio Manager

About the role

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. Job Summary

We are looking for a proactive and technically skilled Data Lake Studio Manager to oversee and expand our Data Lake Studio workspace. This platform allows our customers—data engineers, analysts, and business teams—to easily transfer data across diverse storage systems and coordinate intricate data pipelines from start to finish.

In this role, you will be responsible for the operational success, feature adoption, and reliability of our Studio platform. You will ensure users can easily set up connectors for cross-storage data transfers. You will build and schedule automated ETL/ELT workflows, monitor job execution, and provide transparency into data movement across cloud, on-premises, and object storage systems.

Key Responsibilities

Data Transfer & Storage Coordination Direct the Studio’s data movement suite, maintaining high efficiency, reduced latency, and consistent reliability for batch and streaming transfers across multiple storage platforms (e.g., S3, ADLS, GCS, HDFS, relational databases, and data warehouses). Coordinate connector connectivity, throughput efficiency, error-handling mechanisms, and schema evolution during cross-storage data migrations and replication tasks. Drive self-service ingestion frameworks, allowing customers to easily register new data sources and targets without manual infrastructure setup.

2. Workflow Orchestration & Pipeline Management

Take responsibility for the operational health and user experience of the pipeline orchestration engine within the Studio (e.g., DAG-based scheduling, event-driven triggers, dependency management). Define standards and guidelines for customer pipeline development, ensuring fault tolerance, automatic retry policies, and backfilling capabilities. Maintain pipeline observability, providing customers with comprehensive monitoring dashboards, real-time logging, and configurable alerting for job failures or bottlenecks.

3. Customer Enablement & Platform Operations

Act as the functional owner and advocate for Studio users, streamlining onboarding, documentation, template creation, and self-service workflows. Monitor compute and network costs associated with large-scale data transfers and processing workloads, establishing prioritization quotas and cost-optimization practices. Troubleshoot customer partner concern issues related to pipeline execution failures, lockouts, or network efficiency bottlenecks between storage tiers.