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Data Architect - HR Data & Analytics || MA.

Data Architect - HR Data & Analytics || MA.

Jobs via DiceBoston, MA, United States
1 day ago
Job type
  • Temporary
Job description

Data Architect - HR Data & Analytics

2 days ago

Location : Boston, MA (Hybrid - 3 days / week to onsite)

Duration : 12+ months contract

Required Skills

  • At least 12 years Hands‑on experience with Slowly Changing Dimensions (SCD Type 2) and historical data management.
  • At least 10 years proficiency with data visualization tools such as Tableau or Power BI.
  • At least 15 years experience with ELT frameworks (e.g., dbt) and modern data architecture patterns (e.g., Data Vault, Medallion Architecture).
  • At least 10 years familiarity with HR processes, compliance standards, and industry best practices related to HR data management and reporting.
  • At least 10 years experience working in an enterprise environment with cross‑functional collaboration between HR, Finance, and Technology teams.
  • Experience building and supporting data warehouses specifically for HR and People Analytics domains.
  • Strong experience in Data Architecture, SQL and Python.

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.

    • Seniority level

    Mid‑Senior level

    Employment type

    Full‑time

    Job function

    Engineering and Information Technology

    Industry

    Software Development

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    Data Architect • Boston, MA, United States