Compunnel, Inc.
Data Architect - HR Data & Analytics
Compunnel, Inc., Boston, Massachusetts, United States, 02298
We are seeking an experienced Data Architect to design and implement scalable data solutions for HR analytics and workforce planning.
This role will focus on building robust data models, ensuring data quality, and enabling actionable insights through advanced architecture and integration strategies.
Key Responsibilities
Architect & Model: Design and implement 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 to ensure seamless and accurate data flow. Governance & Quality: Establish and enforce data governance, quality, and metadata management standards for consistency and compliance. Documentation: Maintain comprehensive technical documentation and data dictionaries for warehouse structures, transformations, and integrations. Performance Optimization: Monitor and tune ETL/ELT pipelines for high-performance data transformation and loading processes. Collaboration: Work closely 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 accuracy. Lifecycle Support: Provide support for data analysis and troubleshooting throughout the implementation and operational lifecycle of HR data solutions. Required Qualifications
Extensive 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. Strong expertise in ELT frameworks (e.g., dbt) and modern data architecture patterns (e.g., Data Vault, Medallion Architecture). Familiarity with HR processes, compliance standards, and best practices related to HR data management and reporting. Experience working in enterprise environments with cross-functional collaboration between HR, Finance, and Technology teams. Proven experience building and supporting data warehouses for HR and People Analytics domains. Advanced skills in Data Architecture, SQL, and Python. Preferred Qualifications
Experience with large-scale HR data analytics projects. Knowledge of cloud-based data platforms and security best practices.
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Architect & Model: Design and implement 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 to ensure seamless and accurate data flow. Governance & Quality: Establish and enforce data governance, quality, and metadata management standards for consistency and compliance. Documentation: Maintain comprehensive technical documentation and data dictionaries for warehouse structures, transformations, and integrations. Performance Optimization: Monitor and tune ETL/ELT pipelines for high-performance data transformation and loading processes. Collaboration: Work closely 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 accuracy. Lifecycle Support: Provide support for data analysis and troubleshooting throughout the implementation and operational lifecycle of HR data solutions. Required Qualifications
Extensive 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. Strong expertise in ELT frameworks (e.g., dbt) and modern data architecture patterns (e.g., Data Vault, Medallion Architecture). Familiarity with HR processes, compliance standards, and best practices related to HR data management and reporting. Experience working in enterprise environments with cross-functional collaboration between HR, Finance, and Technology teams. Proven experience building and supporting data warehouses for HR and People Analytics domains. Advanced skills in Data Architecture, SQL, and Python. Preferred Qualifications
Experience with large-scale HR data analytics projects. Knowledge of cloud-based data platforms and security best practices.
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