3 days ago
Base Salary
$187k - $334k/yr
Responsibilities
- Lead an engineering team developing Workday’s Data Cloud.
- Architect and build distributed ingestion, query processing, transaction processing, and storage engine features.
- Develop high-performance infrastructure for processing large volumes of data.
- Improve the performance, scalability, reliability, simplicity, and usability of data management systems.
- Turn novel technical ideas into high-quality implementations and articulate their value to stakeholders and partners.
- Teach and develop expertise in data management and distributed data processing systems and algorithms.
Requirements
- 10+ years of experience using Java, Scala, C++, Go, or Rust.
- 5+ years of development experience in relevant areas such as database internals, distributed systems, JVM performance tuning, or cloud/SaaS services.
- Bachelor’s degree in Computer Science or a relevant field, or a master’s degree in Computer Science or a relevant field.
- Background in data warehousing, database system internals, or distributed systems.
- Expertise in distributed data processing engines or data management systems.
- Strong understanding of SQL.
- Expertise in cloud computing services such as GCP or AWS, Kubernetes, and/or Linux.
- Expertise in one or more of Apache Spark and Spark SQL internals, Apache Iceberg and zero-copy architectures, Apache Polaris, Trino, MySQL, PostgreSQL, or DuckDB.
- Ability to lead an engineering team and communicate technical value to stakeholders.
Benefits
- Flexible hybrid work with at least 50% of each quarter spent in the office or in the field with customers, prospects, and partners.
- Potential eligibility for the Workday Bonus Plan or role-specific commission/bonus and annual refresh stock grants.
- Comprehensive benefits package.
- Reasonable accommodations are available during the application process.
Tech Stack
Categories
BackendData Engineering
About Workday
Workday builds cloud-based enterprise applications for human capital management and financial management, including payroll, time tracking, expenses, planning, and procurement, sold on a subscription basis with professional services. Founded in 2005 and headquartered in Pleasanton, California, it is a public company traded on NASDAQ as WDAY. Organizations worldwide use Workday to unify HR and finance data, automate processes, and apply AI to workforce and financial operations.