Data Engineering at AMD
Roles, Comp & Culture
An L7 principal data engineer at AMD sits around $514K total comp from 72 verified salary datapoints. The primary Data Engineering tech consists of Snowflake, Databricks and Iceberg, according to current job listings. AMD pays data engineers above other Technology companies. Reviews put them at 4.0 on Glassdoor, a little above the middle of the pack. Employee sentiment at AMD reads neutral and employee happiness has held flat over the past year. Layoff risk scores low for the next 30 days. 5 data engineering roles are open right now.
AMD data engineer compensation
Each level's figure is the median of individual AMD offers at that level, so it reflects a typical outcome rather than an average pulled up by a few large packages. Total comp counts base salary plus equity and bonus annualized over the vest, and the range shown is the middle half of offers, with the top and bottom quarters trimmed off.
AMD employee sentiment, tracked weekly
Employee happiness for data engineers over the past year, so you can see which direction it is moving, not just where it sits today.
Recent AMD events
Layoffs, leadership changes, and other major moves at the company, with dates.
- Exec departureFeb 2026Leadership change
- Exec departureJan 2026Leadership change
- Exec departureDec 2025Leadership change
- Exec departureAug 2025Leadership change
- Exec departureJul 2025Leadership change
- Exec departureFeb 2025Leadership change
Notable company events we track, with dates.
AMD data engineering tech stack
The languages, storage, and processing tools AMD data engineers actually work with, grouped by what they do. Tailor your system-design answers to this stack.
SQL
IcebergAMD data engineer job openings
A live read on what they are hiring: open roles, recent postings, where, and at what level.
Implementing data integration, ETL processes, ML and data pipelines to ensure efficient data movement and transformation.
Multi-Engine Data Consumption: Build and optimize curated, semantic Gold-layer data products designed for seamless, high-performance consumption across an open ecosystem of multiple compute and query engines – including Snowflake, Databricks (Spark), Trino/Starburst, AWS Athena, and Presto.
Pipeline Development: Build, deploy, and monitor robust end-to-end ETL/ELT pipelines to ingest diverse semiconductor data streams into the data lake.
Design, build, and optimize scalable data models within Snowflake that serve as a foundation for AI wrappers.
Design and implement scalable data pipelines, databases, and APIs that power real-time dashboards and reports
Preparing for the AMD loop
The round-by-round process, example questions, and prep plan are on the interview guide.
Compare AMD with other data engineering employers
How the role, pay, and loop stack up against peer companies.
Prepare at AMD interview difficulty
- 01
Reading a solution is not the same as writing one
Every engineer who has frozen on a query they had read a dozen times knows the gap. The only preparation that closes it is producing the answer yourself, under time, before the interview does it for you
- 02
76% of hiring managers reject on the coding task, not the resume
From HackerRank's 2024 Developer Skills Report. Candidates who look strong on paper still fail the live screen if they haven't done timed, executable practice
- 03
5 problem shapes cover 80% of data engineer loops
Dedup, sessionization, top-N-per-group, slowly-changing dimensions, partition tricks. Writing the shapes by hand turns the unfamiliar into pattern recognition