DevOps Platform Engineer
Company: Alteryx
Location: Remote (Remote)
Salary: $139,475 - $153,900 a year
Type: Full-time
Remote: Yes
Posted: 2026-08-17
About this role
Meet the Moment with Alteryx
We're living through a once-in-a-generation shift in how work gets done. Data, automation, and AI are quickly becoming the center of every business decision - and Alteryx is leading the transformation.
You'll be working on the challenges that sit at the heart of modern business. No matter your role, the work you do will help organizations move faster, see more clearly, and tackle questions that used to feel impossible.
If you're ready to meet the moment with innovation, curiosity, and excellence, there's a place for you here.
Alteryx is searching for a DevOps Platform Engineer . This position is remote-friendly.
Position Overview:
As a DevOps Platform Engineer within Data Platforms, you will strengthen the standards, automation, and operational practices that enable reliable data product delivery across our enterprise data ecosystem. This role focuses on how data products are developed, tested, reviewed, deployed, monitored, and supported across dbt, Snowflake, GitLab, and related platforms.
You will partner with technical data leads to implement and maintain engineering standards that enable centralized Data Engineering, Analytics Engineering, Data Science, and federated Data Ops business teams to deliver trusted production data products consistently and efficiently within our data mesh model.
Success in this role means improving engineering consistency, reducing operational friction, increasing release confidence, and helping teams deliver trusted, maintainable data products at scale.
Primary Responsibilities:
- Implement and maintain reusable engineering patterns, standards, templates, and guardrails for data product delivery across dbt, Snowflake, GitLab, and related platforms.
- Maintain code quality practices, including linting, formatting, naming conventions, merge request templates, and review expectations.
- Implement and improve CI/CD workflows, including automated testing, validation, deployment gates...