1 day ago
Dublin, IrelandSenior
Responsibilities
- Design and implement core components of the metrics platform.
- Build and operate pipelines that load agent telemetry into Apache Iceberg through dbt.
- Enforce schema contracts through CI/CD gates and automated data quality checks.
- Extend the MetricsFlow semantic layer for governed metric serving to the Product Data Store and downstream consumers.
- Improve multi-tenant data isolation, query performance, and the migration from per-tier governance.
- Contribute to architectural discussions, system design, technical documentation, and engineering excellence.
Requirements
- At least 5 years of software development engineering experience, including designing, developing, and deploying software solutions.
- At least 3 years of software development engineering experience with production-level Python and SQL.
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- Experience with dbt, Apache Iceberg, and semantic-layer tools such as MetricsFlow, dbt Semantic Layer, or Cube.
- Understanding of data governance, schema contract enforcement, CI/CD schema gates, and automated data quality checks.
- Experience with large-scale data processing frameworks such as Spark, Flink, or Kafka in distributed architectures.
- Practical API development experience with gRPC or REST.
- Understanding of multi-tenant data isolation, encryption, tenant-scoped authorization, distributed systems, data partitioning, eventual consistency, and fault tolerance.
- Knowledge of object-oriented design and architectural patterns for scalable data systems.
- Experience with source control tools such as Git, GitHub, or Bitbucket.
- Ability to collaborate across distributed teams and write design specifications, data contracts, and API documentation.
Benefits
- Flexible hybrid work requiring at least 50% of each quarter in the office or in the field, with remote home-office roles also able to meet in offices.
- The Ireland position lists a base salary range of €72,000–€108,000 EUR and may include bonus or commission eligibility and annual refresh stock grants.
- Workday provides reasonable accommodations and is an equal opportunity employer.
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.