Senior Data Engineer
Senior
Analytics
Azure Data Engineer
Azure Data Lake
Azure Data Platform
Azure Platform
Azure Synapse Analytics
Big Data
Bigdata
Business Analytics
Business Intelligence
Cloud
Cloud Data Engineering
Cloud Data Platform
Cloud Data Warehouse
Cloud Data Warehouse
Cloud Platform
Cloud Platforms
Data
Data Analysis
Data Analytics
Data Architecture
Data Build Tool
Data Engineer
Data Engineering
Data Integration
Data Management
Data Modeling
Data Operations
Data Pipeline
Data Pipelines
Data Platform
Data Processing
Data Visualization
Data Warehouse
Data Warehousing
Database
Databases
Databricks
Dataops
Dbt
Design
Digital Marketing
Engineer
ETL
HR
Hr Analytics
Hr Technology
Informatica
Information Technology (IT)
Integration
Microsoft
Microsoft Fabric
Microsoft Office
Natural Language To Sql
Power BI
Power Platform
Pyspark
Reporting and Analytics
Snowflake
SQL
Visual Design
Job Description
AMD is seeking a Senior Data Engineer for the People Analytics team to extend and operate a modern HR data platform on Microsoft Fabric.
Responsibilities
- Own and extend the dbt Fabric transformation layer and medallion architecture models that power the daily employee spine, dimensions, natural keys, grains, join patterns, and row-level security model.
- Develop clean, portable, high-performing, well-tested SQL using patterns such as window functions, incremental loading, and slowly changing dimensions, minimizing platform-specific business logic when feasible.
- Build and maintain automated data quality checks, validation controls, and an evaluation framework for both the data pipeline and the analytics assistant to surface issues before they impact stakeholders.
- Maintain and improve Bronze-layer ingestion from HRIS source systems through Azure storage and into 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, maintainability, and knowledge transfer.
- Work in Git and Azure DevOps workflows supporting 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 support reliable day-to-day pipeline performance.
Requirements
- Strong SQL skills, including window functions, incremental loading, slowly changing dimensions, and query performance tuning.
- Production experience with dbt, including models, tests, macros, and seeds, with demonstrated commitment to data quality and testing.
- Proficiency in Python, including hands-on experience with PySpark on large datasets.
- Hands-on experience with a cloud lakehouse or data platform; Microsoft Fabric is preferred, with Databricks, Synapse, or Snowflake experience valued.
- Experience with Git-based development, CI/CD, and controlled deployment workflows; Azure DevOps experience preferred.
- Power BI semantic modeling experience, 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 (examples: MCP or natural language-to-SQL solutions) is preferred.
- Experience with ServiceNow data, Snowflake, or related data integrations is desired.
Technologies
- Microsoft Fabric, dbt, SQL
- Power BI, Power BI semantic layer, 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
Location
- Austin, TX (hybrid)
Academic Credentials
- A bachelor’s degree in Computer Science, Data Engineering, Information Systems, Analytics, or a related field is preferred.
- Relevant certifications in Microsoft Fabric, Azure, Power BI, dbt, Snowflake, or cloud data engineering are desired.
Similar Jobs
