Data Architect - HR Data & Analytics (Boston)
Data Architect - HR Data & Analytics About Quantiphi: Quantiphi is an award-winning Applied AI and Big Data software and services company, driven by a deep desire to solve transformational problems at the heart of businesses. Our signature approach combines groundbreaking machine‑learning research with disciplined cloud and data‑engineering practices to create breakthrough impact at unprecedented speed. Quantiphi has seen 2.5x growth YoY since its inception in 2013, we don’t just innovate - we lead. Headquartered in Boston, with 4,000 professionals across the globe. Quantiphi leverages Applied AI technologies across multiple industry verticals (Telco, BFSI, HCLS etc.) and is an established elite/premier partner of NVIDIA, Google Cloud, AWS, Snowflake, and others. We’ve been recognized with: 17x Google Cloud Partner of the Year awards in the last 8 years. 3x AWS AI/ML award wins. 3x NVIDIA Partner of the Year titles. 2x Snowflake Partner of the Year awards. We have also garnered top analyst recognitions from Gartner, ISG, and Everest Group. We offer first‑in‑class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting‑edge Generative AI and Agentic AI accelerators. We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023. Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here! Role Overview The Data Architect will play a key role in designing and implementing the enterprise HR data architecture to support one of our FSI client’s HR analytics, KPIs, and reporting initiatives. This role involves translating complex business requirements into scalable, well‑governed data solutions built on Snowflake and integrated with Workday and other HR platforms. The ideal candidate will bring deep technical expertise and a solid 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. Basic Qualifications Bachelor’s degree in Data Analytics, Computer Science, Human Resources, or a related discipline (or equivalent experience). Minimum of 8 years of experience as a Data Architect preferably in HR analytics or HRIS environments. 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. Other Qualifications Experience building and supporting data warehouses specifically for HR and People Analytics domains. Hands‑on experience with Slowly Changing Dimensions (SCD Type 2) and historical data management. Proficiency with data visualization tools such as Tableau or Power BI . Experience with ELT frameworks (e.g., dbt ) and modern data architecture patterns (e.g., Data Vault , Medallion Architecture ). Familiarity with HR processes , compliance standards , and industry best practices related to HR data management and reporting. Experience working in an enterprise environment with cross‑functional collaboration between HR, Finance, and Technology teams. What’s in it for YOU at Quantiphi Make an impact at one of the world’s fastest‑growing AI‑first digital engineering companies. Upskill and discover your potential as you solve complex challenges in cutting‑edge areas of technology alongside passionate, talented colleagues. Work where innovation happens - work with disruptive innovators in a research‑focused organization with 60 patents filed across various disciplines. Stay ahead of the curve—immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies. Experience Level 8 years of experience Employment Type Full‑time Boston, MA $145,500.00-$280,000.00 J-18808-Ljbffr
