Architect sophisticated data stitching, deduplication, and enrichment processes to establish a single source of truth for core business entities.
Data Reliability & Observability: Implement comprehensive data quality and observability frameworks (e.g., data profiling, anomaly detection, SLA tracking) to ensure absolute trust in pipeline outputs.
Data Mart & Semantic Layer Design: Architect and build optimized, user-focused Data Marts and semantic layers.
Build, maintain, and automate enterprise Data Dictionaries, Data Catalogs, and Data Logs to ensure data lineage and definitions are transparent across the org.
Requirements
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.
We bridge the gap between raw, disparate security telemetry and the actionable insights required to identify threats, manage vulnerabilities, and reduce risk.
You will lead the charge on data documentation, cataloging, Master Data Management (MDM), and the design of downstream data marts, ensuring that our data is not just flowing, but is clean, standardized, governed, and highly discoverable for the entire enterprise. Key
Data Enrichment & MDM: Lead the strategy for Master Data Management (MDM) within our pipelines.
Technical Mentorship: Act as the technical anchor for the data engineering squad, setting engineering standards for code quality, workflow documentation, and pipeline design. About You Basic
experience with AWS Glue (ETL, catalogs, schema registry, workflows) and AWS EMR (Spark engine tuning).
Distributed Computing: Deep proficiency with Apache Spark (PySpark or Scala) for large-scale data processing and transformation.
Data Modeling & Architecture: Expert knowledge of data warehousing concepts, including Star/Snowflake schemas, dimensional modeling, and building curated Data Marts .
Languages: Expert-level Python and SQL (including advanced analytical functions and performance tuning). Other
experience working with modern data catalog and governance tools (e.g., OpenLineage, dbt docs, Collibra, Alation, Apache Atlas, or AWS Glue Data Catalog). Orchestration: Strong
experience with Apache Airflow , Prefect, or AWS Step Functions to manage complex, multi-stage DAGs. Data Lakehouse & Warehouse Architecture:
Experience designing and optimizing scalable data lake-house or warehousing patterns (e.g., Medallion Architecture, Data Mesh, or open table format strategies like Apache Iceberg/Delta Lake) to support high-performance analytics.
Experience implementing robust CI/CD pipelines (e.g., GitHub Actions, Jenkins) for data assets, including automated unit/integration testing, infrastructure-as-code (IaC) using Terraform or CDK, and GitOps workflows to ensure reproducible and high-quality deployments.
experience and skills, and educational qualifications, level of responsibility, demands of the role, work location and business need.
Experience
Experience: 5+ years of hands-on data engineering experience, with a heavy focus on complex pipeline development, data modeling, and governance metadata patterns.
Benefits
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.
Workday Pay Transparency Statement (For EU Locations Only) Listed below is the base salary range applicable to this position.
Workday pay ranges (and the precise pay offered to the successful candidate) are based on a number of objective criteria such as relevant
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 awarded by Workday Inc. For more information regarding Workday’s comprehensive benefits, please click here .
Primary Location Base Pay Range: €84,000 EUR - €126,000 EUR Ireland Our Approach to Flexible Work With Flex Work, we’re combining the best of both worlds: in-person time and remote.
Additional details
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.
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 As part of our Security Data Engineering team, you won’t just be engineering pipelines; you’ll be architecting the data-driven foundation that empowers our security organization.
If you are a seasoned Data Engineer who finds satisfaction in solving complex cybersecurity challenges by building systems that make the enterprise measurably safer—this is your mission.
We operate at the intersection of high-scale distributed systems and advanced security analytics, turning massive, noisy security signals into the trusted, business-ready data assets that safeguard our infrastructure and customers.
About the Role We are seeking a Senior Data Engineer to serve as the Subject Matter Expert (SME) for Data Logistics .