Senior Data Platform Engineer

Workday; United States; On-site; USD 150,000 - 210,000; Full time

Job summary

Workday is seeking a hands-on Software Development Engineer to build and operate a scalable data-product platform used by engineering and analytics teams to create and govern production data products and marts. The platform spans 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.

Qualifications

• 8+ years of software engineering or data engineering experience.
• 5+ years of experience building or operating production data platforms, lakehouse platforms, or distributed data systems.
• Hands-on experience building and maintaining production dbt Core projects.
• Strong production SQL and data-modeling experience.
• Experience with Airflow or another production workflow orchestration platform.
• Experience with Trino or another distributed SQL/query engine.
• Experience with a lakehouse technology such as Apache Iceberg, Delta Lake, or Hudi.
• Experience with cloud object storage and metadata/catalog systems.
• Experience with Python, Java, Go, Scala, or another production programming language.
• Experience with infrastructure as code s

Responsibilities

• 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 to automate platform and data-product deployment.
• Contribute to the semantic and visualization layer for data-product consumption.
• Troubleshoot and operate the full stack, with a focus on reliability, scalability, and safe production operations.
• Build reusable platform patterns that make it easier for teams to develop and operate data products.
• Support and mentor team members on data platform and data-product development.

Skills

SQL & data modeling

Production data platforms

Python/Java/Go/Scala

Distributed data systems

Data governance

Tools

dbt Core

Airflow

Trino

Iceberg

S3/Glue Catalog

Terraform

CI/CD

Job description

Workday is seeking a hands-on Software Development Engineer to build and operate a scalable data-product platform used by engineering and analytics teams to create and govern production data products and marts. The platform spans 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.