Workday Data Architect - HR Data & Analytics

Job Duties :

Architect & Model : Design and implement scalable, efficient Snowflake data models to support HR analytics, workforce planning, and KPI reporting.

Data Integration : Develop and optimize integrations between Workday, Snowflake, and downstream analytics platforms; ensure seamless, accurate data flow across systems.

Governance & Quality : Define and enforce data governance, quality, and metadata management standards to ensure data consistency and compliance.

Documentation & Metadata : Maintain comprehensive technical documentation and data dictionaries for warehouse structures, transformations, and integrations.

Performance Optimization : Monitor and tune ETL / ELT pipelines, ensuring high-performance data transformation and loading processes.

Collaboration : Partner with HR, Data Engineering, and Analytics teams to translate business logic into reusable and governed data assets.

Testing & Validation : Participate in unit, integration, and regression testing to validate data pipelines and ensure data accuracy.

Lifecycle Support : Support data analysis and troubleshooting across the full implementation and operational lifecycle of HR data solutions.

Minimum Skills Required :

• At least 12 years Hands-on experience with Slowly Changing Dimensions (SCD Type 2) and historical data management.
• At least 10 years Proficiency with data visualization tools such as Tableau or Power BI.
• At least 15 years Experience with ELT frameworks (e.g., dbt) and modern data architecture patterns (e.g., Data Vault, Medallion Architecture).
• At least 10 years Familiarity with HR processes, compliance standards, and industry best practices related to HR data management and reporting.
• At least 10 years Experience working in an enterprise environment with cross-functional collaboration between HR, Finance, and Technology teams
• Experience building and supporting data warehouses specifically for HR and People Analytics domains.
• Strong experience in Data Architecture, SQL and Python