Jobs / United States / Ebay INC

Ebay INC

Data Lake Studio Manager

Austin Posted today

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Sponsorship verdict

Sponsorship possible

One solid signal, not two. Worth applying, and worth asking about sponsorship early.

  • Employer is on a government sponsor recordThe US Department of Labor certified 478 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first.
  • The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
  • No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area.
  • What Ebay INC paid sponsored hires in similar roles15 certified filings for “Manager, Data Science - Analytics 2” (Information Technology Project Managers) in CA: $198k–$220k, median $206k.
  • Confirmed live todayWhen a source last listed this job as open.
Details and sources
Employer is on a government sponsor record
The US Department of Labor certified 478 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. Source: LCA disclosure data (US Department of Labor (OFLC)).
No salary bar for this route
H-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
What Ebay INC paid sponsored hires in similar roles
15 certified filings for “Manager, Data Science - Analytics 2” (Information Technology Project Managers) in CA: $198k–$220k, median $206k. Most were filed at wage level III (53%) — 3 lottery entries, ≈46% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).

US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).

A verdict summarises public evidence. It is not legal advice and never a guarantee: the employer and the immigration authority decide. Sign in to factor in where you can already work.

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. 4. Data Governance & Security Oversight • 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. Qualifications & Requirements Education & Experience • Education: Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related field, or equivalent experience. • Experience: 5+ years of h

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