Quantiphi · 3 months ago
Data Architect - HR Data & Analytics
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. The Data Architect will design and implement the enterprise HR data architecture to support HR analytics and reporting initiatives, ensuring data integrity and accessibility across the organization.
Artificial Intelligence (AI)Cloud Data ServicesInsurTechMachine LearningSoftware
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
Qualification
Required
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
Preferred
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
Benefits
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.
Company
Quantiphi
Quantiphi is a digital engineering company that provides data science and machine learning software and services.
H1B Sponsorship
Quantiphi has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (45)
2024 (65)
2023 (45)
2022 (94)
2021 (71)
2020 (46)
Funding
Current Stage
Late StageTotal Funding
$23.41MKey Investors
Multiples
2019-12-19Series A· $20M
2018-09-13Series Unknown· $3.41M
Recent News
2025-12-05
2025-12-02
Company data provided by crunchbase