Data Architect implementing scalable data models for HR analytics at Ness Digital Engineering. Collaborating with cross-functional teams to translate business needs into data solutions.
Responsibilities
Design and implement scalable, efficient Snowflake data models to support HR analytics, workforce planning, and KPI reporting.
Develop and optimize integrations between Workday, Snowflake, and downstream analytics platforms; ensure seamless, accurate data flow across systems.
Define and enforce data governance, quality, and metadata management standards to ensure data consistency and compliance.
Maintain comprehensive technical documentation and data dictionaries for warehouse structures, transformations, and integrations.
Monitor and tune ETL/ELT pipelines, ensuring high-performance data transformation and loading processes.
Partner with HR, Data Engineering, and Analytics teams to translate business logic into reusable and governed data assets.
Participate in unit, integration, and regression testing to validate data pipelines and ensure data accuracy.
Support data analysis and troubleshooting across the full implementation and operational lifecycle of HR data solutions.
Requirements
Proven experience architecting and implementing solutions on Snowflake or similar cloud data warehouse platforms.
Advanced SQL skills and hands-on experience with data transformation and pipeline optimization tools.
Strong understanding of ETL/ELT frameworks, data validation, and reconciliation techniques.
Demonstrated experience working with HR data structures, Workday, or other HRIS systems.
Strong analytical mindset and problem-solving ability, with attention to data integrity and business context.
Experience with Python for data engineering, automation, or orchestration tasks.
Track record of designing data warehouses or analytical platforms leveraging HR data to drive insights and advanced reporting.
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