Senior Data Engineer

AMD believes technology can solve the world’s most important challenges, from advancing healthcare and scientific discovery to powering AI and everyday technologies. Every role contributes to technology that moves the world forward.

The People Analytics team is building a modern HR data platform on Microsoft Fabric that transforms SuccessFactors and related HR source data into governed workforce data for Power BI reporting and a natural‑language analytics assistant used by HR business partners. As the second engineer and co‑owner of this platform, you will work closely with the platform architect to extend the transformation layer, strengthen data quality and testing, and evolve a proof‑of‑concept into a hardened, well‑documented, enterprise‑grade system.

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 row‑level security.
• Write clean, portable, high‑performing, well‑tested SQL using window functions, incremental loading, and slowly changing dimensions while minimizing platform‑specific business logic.
• Build and maintain automated data quality checks, validation controls, and an evaluation framework for both the data pipeline and analytics assistant to detect issues before they affect stakeholders.
• Maintain and improve Bronze‑layer ingestion from HRIS source systems through 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 to support shared ownership, maintainability, and effective knowledge transfer.
• Work within Git and Azure DevOps workflows that support CI/CD and SOX‑style controls, including pull‑request‑based promotion and separation of author, approver, and deployer responsibilities.
• Partner with the platform architect and HR stakeholders to independently operate and extend core data models and ensure reliable day‑to‑day pipeline performance.

Qualifications

• Strong SQL skills, including experience with window functions, incremental loading patterns, slowly changing dimensions, and query performance tuning.
• Production experience with dbt (models, tests, macros, seeds) and a demonstrated commitment to data quality and testing.
• Proficiency in Python and experience using PySpark with large datasets.
• Hands‑on experience with a cloud lakehouse or data platform; Microsoft Fabric experience preferred, with Databricks, Synapse, or Snowflake also valued.
• Experience with Git‑based development, CI/CD practices, and controlled deployment workflows; Azure DevOps experience 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 (e.g., MCP or natural language‑to‑SQL solutions) is preferred.
• Experience with ServiceNow data, Snowflake, or related data integrations is desired.
• 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 are desired.
• This role is not eligible for visa sponsorship.