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About the Role In this role, you will be architecting, building, and delivering the platform capabilities and services that power our Apache Iceberg zero-copy data lake solution.
About You As a Senior Software Engineer on the OMS Data Lake team, these are the Core Competencies we would expect you to have: Programming Languages: Java (Primary), Scala, or Python Data & Storage Engines: Apache Iceberg, Apache Spark, Large-scale Database Internals (Relational, NoSQL, and Columnar Engine Concepts) Distributed Systems: Distributed Processing, Query Execution/Optimization, Storage-Compute Separation, High-Throughput Service Mesh Cloud Infrastructure: Multi-Cloud Managed Services: Amazon
experience in Software Engineering, Big Data Platform Architecture, Distributed Systems, or a related technical field. 5+ years of production-level
experience designing and implementing highly concurrent software using Java.
Proven expertise with large-scale data processing frameworks like Apache Spark or Trino, and modern open table formats such as Apache Iceberg and Parquet.
Strong working knowledge of deploying, tuning, and maintaining data services within cloud-managed ecosystems across AWS and GCP. Other
Qualifications: BSc, MSc, or PhD in Computer Science, Computer Engineering, or an equivalent technical field.
Deep foundational understanding of database technologies, transaction processing (ACID properties), query execution plans, and file formats.
Proficient in designing and maintaining sophisticated object-oriented software following clean code principles and API design.
Experience with production resiliency, monitoring, and debugging massive data platform infrastructure (e.g., Grafana, Prometheus, Kibana).
In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul.
Workday Pay Transparency Statement The annualized base salary ranges for the primary location and any additional locations are listed below.
Workday pay ranges vary based on work location.
As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants.
Each candidate’s compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things.
Primary Location: USA.CA.Pleasanton Primary Location Base Pay Range: $190,100 USD - $285,100 USD Additional US Location(s) Base Pay Range: $160,100 USD - $285,100 USD Our Approach to Flexible Work With Flex Work, we’re combining the best of both worlds: in-person time and remote.
Additional details
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About the Team The OMS Data Lake team is a critical component of the Workday Data Cloud platform.
Our mission is foundational to Workday's enterprise strategy, directly supporting the Open Platform initiative.
We build the core next-generation infrastructure that decouples storage and compute, eliminating traditional data silos and enabling seamless, secure, ecosystem-wide data access.
By engineering high-throughput distributed platform services, we transform how massive enterprise datasets are managed, shared, and queried across the industry.