Test Teechnogen, Inc.
Data Architect - HR Data & Analytics
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Architect - HR Data & Analytics, offering a contract length of "X months" at a pay rate of "$XX/hour." Key skills required include Snowflake, ELT frameworks, data visualization tools, and HR data management experience.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
November 20, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Boston, MA
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🧠 - Skills detailed
#Data Warehouse #Vault #Documentation #Snowflake #Scala #"ETL (Extract #Transform #Load)" #Data Analysis #Python #Data Architecture #Workday #Data Management #Compliance #Data Engineering #Regression #Data Governance #Data Accuracy #SQL (Structured Query Language) #Metadata #Tableau #Data Integration #dbt (data build tool) #Slowly Changing Dimensions #Microsoft Power BI #Data Vault #Data Pipeline #Visualization #BI (Business Intelligence)
Role description
Job Duties:
• 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.
Minimum Skills Required:
• 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
Job Duties:
• 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.
Minimum Skills Required:
• 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
