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Data Architect - HR Data & Analytics

Job in Boston, Suffolk County, Massachusetts, 02298, USA
Listing for: Quantiphi
Full Time position
Listed on 2026-01-01
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst
Job Description & How to Apply Below
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Direct message the job poster from Quantiphi

Lead Recruiter at Quantiphi, AI-First Digital Engineering Company, Seeking Top Talent in Technical and Sales Roles

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 a. 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:
Data Architect - HR Data & Analytics

Experience Level: 8+ years of experience

Employment Type:

Full-Time

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.

•…
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