Senior Data Engineer

Advanced Micro Devices (AMD) is hiring a Senior Data Engineer for the People Analytics team to extend and operate a modern HR data platform built on Microsoft Fabric.

Responsibilities

• Own and extend the dbt Fabric transformation layer and medallion architecture models supporting the daily employee spine, dimensions, natural keys, grains, join patterns, and a row-level security model
• Develop maintainable SQL with strong performance and testability, applying patterns such as window functions, incremental loading, and slowly changing dimensions while avoiding unnecessary platform-specific logic
• Build and maintain automated data quality checks, validation controls, and an evaluation framework to measure accuracy and surface issues before they impact stakeholders, including components related to the analytics assistant
• Maintain and improve Bronze-layer ingestion from HRIS source systems into Azure storage and the data warehouse using Python and PySpark notebooks
• Contribute to the Power BI semantic layer, including TMDL-defined models, DAX measures, and row-level security
• Document data rules, models, lineage, operating procedures, and platform knowledge for shared ownership and effective knowledge transfer
• Work in Git and Azure DevOps workflows with CI/CD and SOX-style controls, including pull request-based promotion with separation of author, approver, and deployer responsibilities
• Partner with the platform architect and HR stakeholders to independently operate and extend core data models and support reliable day-to-day pipeline performance

Requirements

• Strong SQL experience, including window functions, incremental loading, slowly changing dimensions, and query performance tuning
• Production experience with dbt including models, tests, macros, and seeds, plus demonstrated focus on data quality and testing
• Proficiency in Python and hands-on experience with PySpark using large datasets
• Hands-on experience with a cloud lakehouse or data platform; Microsoft Fabric preferred, with Databricks, Synapse, or Snowflake valued
• Git-based development with CI/CD and controlled deployment workflows; Azure DevOps preferred
• Experience with Power BI semantic modeling including TMDL, DAX, and row-level security
• Knowledge of HR, SuccessFactors, people analytics, or workforce data is highly desired
• Experience with AI-assisted development or LLM-based data tools such as MCP or natural language-to-SQL is preferred
• Experience with ServiceNow data, Snowflake, or related data integrations is desired

Technologies

• Microsoft Fabric, dbt, SQL, Power BI, TMDL, DAX, Git, Azure DevOps, CI/CD, SOX-style controls
• Python, PySpark, Azure storage, Azure
• Window functions, incremental loading, slowly changing dimensions
• ServiceNow, Snowflake, Databricks, Synapse
• LLM-based data tools, MCP, natural language-to-SQL
• SuccessFactors, People Analytics

Education & Certifications

• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, Analytics, or a related field preferred
• Relevant certifications in Microsoft Fabric, Azure, Power BI, dbt, Snowflake, or cloud data engineering desired

Location: Austin, TX (hybrid)