Data Architect (HR Data & Analytics)

Ness is a full lifecycle digital engineering firm offering digital advisory through scaled engineering services. Combining our core competence in engineering with the latest in digital strategy and technology, we seamlessly manage Digital Transformation journeys from strategy through execution to help businesses thrive in the digital economy. As your tech partner, we help engineer your company’s future with cloud and data. For more information, visit

Data Architect – HR Data & Analytics

Boston, MA (3-4 days onsite a week)

Role Overview :

The Data Architect will play a key role in designing and implementing the enterprise HR data architecture to support KKR’s global HR analytics, KPIs, and reporting initiatives. This role involves translating complex business requirements into scalable, governed data solutions built on Snowflake and integrated with Workday and other HR systems. The ideal candidate will combine deep technical expertise with a strong understanding of HR data domains, ensuring data integrity, accessibility, and analytical value across the organization.

Key Responsibilities :

• 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.

Required Experience & Skills :

Preferred Experience & Skills :

Ness is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law