Senior Software Engineer(Distributed Systems)

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 Data Platform and Observability Engineering builds the platforms Workday teams use to turn data into reliable, governed products. We sit at the intersection of distributed systems, analytics engineering, and platform operations. This team is building a highly scalable data-product platform: compute, storage, catalog, orchestration, access control, and the workflows teams use to develop, test, and operate data products and marts. We treat the platform as a product, reusable capabilities, clear contracts, and a path from model to query to visualization, so engineering and analytics teams can own what they build without each standing up a stack of their own. We work closely with domain engineering, analytics, security, and infrastructure partners. The work is hands-on: production SQL and dbt, lakehouse services, Terraform, and the operational bar for high-volume, multi-team use. About the Role We are looking for a hands-on Software Development Engineer to build and operate a scalable data-product platform that enables engineering and analytics teams to create and govern production data products and marts. The platform spans the full data-product lifecycle, including dbt Core, Airflow, Trino, Apache Iceberg, Amazon S3 Tables, AWS Glue Catalog, access control, security, infrastructure as code, and CI/CD . This role combines data platform engineering with hands-on data-product development . You will help build the underlying platform and its reusable capabilities, while also creating and maintaining production dbt projects, data models, tests, semantic definitions, and data marts. You will write highly performant analytical SQL, and you will help teams use a visualization layer such as Apache Superset or Metabase . You will work on problems involving high-volume data, distributed query processing, data modeling, data quality, platform reliability, governance, security, and developer experience . What You Will Do • Build and evolve platform capabilities across dbt, Airflow, Trino, Iceberg/S3 Tables, Glue Catalog, security, and infrastructure . • Create and maintain production dbt projects end-to-end, including data models, transformations, tests, documentation, and semantic definitions. • Design and operate Airflow workflows with scheduling, dependencies, retries, backfills, and recovery. • Develop and optimize high-volume analytical workloads on Trino and Iceberg , including partitioning, incremental processing, file layout, and query performance. • Implement data quality, access control, and security using governed catalog and IAM patterns. • Use Terraform and CI/CD