Data Lake Studio Manager

At eBay were more than a global ecommerce leader were changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. Were 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. Were 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.

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 customersdata engineers analysts and business teamsto 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.

• Data Transfer & Storage Coordination

• Direct the Studios 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.

• 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.

• 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.

• Ensure all cross-storage data movements align with organizational security policies encryption standards (in-transit and at-rest) and compliance frameworks (e.g. GDPR SOC 2 HIPAA).
• Coordinate identity management granular credential mapping and Role-Based Access Control (RBAC) across external storage endpoints and Studio pipeline tasks.

Education & Experience

• Education: Bachelors or Masters degree in Computer Science Data Engineering Information Systems or a related field or equivalent experience.
• Experience: 5 years of hands-on experience in Data Engineering Data Platform Management or Cloud Data Operations with 2 years in a team lead product owner or manager capacity.

• Data Movement & Storage: Demonstrated proficiency with various storage architectures (S3 ADLS GCS HDFS SFTP) and tools/frameworks for high-throughput data transfer.
• Orchestration Frameworks: Extensive hands-on experience with enterprise orchestration tools (e.g. Apache Airflow Prefect Dagster Temporal or cloud-native workflow managers).
• ETL / ELT & Processing: Experience with distributed computing frameworks (e.g. Apache Spark Apache Flink).
• Storage & Catalog Protocols: Knowledge of open table formats (e.g. Apache Iceberg Delta Lake Apache Hudi) and metadata catalog integration.
• Scripting & Querying: Strong proficiency in SQL and Python.

• Strong track record of improving developer/user experience for self-service analytics platforms.
• Excellent communication skills to interface effectively with both software engineers and business collaborators.
• Hands-on experience with SLAs/SLOs monitoring tooling (e.g. Prometheus Grafana Datadog) and DataOps methodologies.

Additional Details

The base pay range for this position is expected in the range below:

Base pay offered may vary depending on multiple individualized factors including location skills and experience. The total compensation package for this position may also include other elements including a target bonus and restricted stock units (as applicable) in addition to a full range of medical financial and/or other benefits (including 401(k) eligibility and various paid time off benefits such as PTO and parental leave). Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

If hired employees will be in an at-will position and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time including for reasons related to individual performance Company or individual department/team performance and market factors.

Remote roles are not eligible for U.S. visa sponsorship.

eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race color religion national origin sex sexual orientation gender identity veteran status and disability or other legally protected you have a need that requires accommodation please contact us at. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBays commitment to ensuring digital accessibility for people with disabilities. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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