We’re looking for a Principal Data Engineer to help define and scale engineering practices across a modern cloud data platform.
This is a hands-on technical leadership role focused on platform reliability, automation, CI/CD, testing, observability, and data quality. You’ll work across engineering teams to improve how data products are built, deployed, and operated in production while driving engineering standards across a large-scale data ecosystem.
What You’ll Be Doing
- Design and implement CI/CD frameworks for data pipelines and analytics workloads
- Drive platform reliability, observability, monitoring, and operational excellence
- Establish automated testing and deployment standards
- Implement Infrastructure as Code and engineering automation practices
- Improve scalability, resilience, and production readiness across data platforms
- Define reusable frameworks, tooling, and engineering patterns
- Champion software engineering best practices across data and AI workloads
- Act as a senior technical leader influencing architecture and platform strategy
What We’re Looking For
- Strong experience building and operating modern cloud data platforms
- Expertise in Python and SQL
- Experience with CI/CD, Infrastructure as Code, and platform automation
- Strong understanding of observability, monitoring, testing, and reliability engineering
- Experience working with large-scale data processing and analytics environments
- Ability to operate as both a hands-on engineer and technical leader
Why Apply?
- Principal-level ownership and influence
- Opportunity to shape engineering standards and platform strategy
- Complex platform engineering challenges at scale
- Modern data and AI environment
- High-impact role with significant technical autonomy
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