Your work days are brighter here.
We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you’ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We’re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you’ll do meaningful work with Workmates who’ve got your back. 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. So, if you want to inspire a brighter work day for everyone, including yourself, you’ve found a match in Workday, and we hope to be a match for you too.
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.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. You will work on unlocking and unifying real-time and analytical data from Workday’s core operational business applications—including Human Capital Management (HCM), Financial Management, Recruiting, and more—without costly data duplication or heavy ETL overhead.
You will focus on building robust, high-performance services that expose transactional application engine data as optimized Iceberg tables, ensuring strict consistency, advanced metadata management, schema evolution, and multi-cloud data accessibility for both internal analytical engines and external third-party consumers.
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 Web Services (AWS) & Google Cloud Platform (GCP)
Basic Qualifications:
8+ years of deep 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.
Exposure to operating system concepts including memory and storage management, threading, concurrency control, and networking.
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).
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. Recruiters can share more detail during the hiring process. 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. For more information regarding Workday’s comprehensive benefits, please click here.
Primary Location: USA.CA.Pleasanton
Our Approach to Flexible Work
With Flex Work, we’re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote "home office" roles also have the opportunity to come together in our offices for important moments that matter.
Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records.
Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.
At Workday, we are committed to providing an accessible and inclusive hiring experience where all candidates can fully demonstrate their skills. If you require assistance or an accommodation at any point, please email [email protected].
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Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not.
In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.
Skills Required
- 8+ years of experience in Software Engineering, Big Data Platform Architecture, or Distributed Systems
- 5+ years production-level experience designing and implementing highly concurrent software using Java
- Proven expertise with large-scale data processing frameworks (Apache Spark or Trino) and open table formats (Apache Iceberg, Parquet)
- Strong working knowledge of deploying, tuning, and maintaining data services within AWS and GCP
- Proficiency with programming languages: Java (primary), Scala, or Python
- Deep understanding of database technologies, transaction processing (ACID), query execution plans, and file formats
- Familiarity with operating system concepts: memory and storage management, threading, concurrency control, and networking
- Proficient in object-oriented design, clean code principles, and API design
- Experience with production resiliency, monitoring, and debugging data platform infrastructure (e.g., Grafana, Prometheus, Kibana)
- BSc, MSc, or PhD in Computer Science, Computer Engineering, or equivalent technical field
Workday Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Workday and has not been reviewed or approved by Workday.
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Healthcare Strength — Health coverage is positioned as broad and well-supported, with multiple medical carrier options, virtual care access, and some locations offering onsite clinic/pharmacy services. Mental health support is described as notably strong, including therapy sessions and confidential support availability for household members.
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Parental & Family Support — Family-related benefits are portrayed as extensive, including paid bonding and caregiver leave alongside fertility, adoption, and surrogacy reimbursement. Added support like parenting resources, milk-shipping/lactation assistance during travel, and backup child/elder care is explicitly outlined.
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Strong & Reliable Incentives — Equity participation and savings-oriented programs are presented as meaningful components of total rewards, including an ESPP discount with a lookback feature. Additional programs like a student-loan pathway to earn the 401(k) match are included as financial-support enhancements.
Workday Insights
What We Do
Workday is a leading provider of enterprise cloud applications for finance, HR, and planning. Founded in 2005, Workday delivers financial management, human capital management, and analytics applications designed for the world’s largest companies, educational institutions, and government agencies. Organizations ranging from medium-sized businesses to Fortune 50 enterprises have selected Workday.






