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We are seeking a Senior DevOps Engineer to lead the end-to-end development of our data platform, drive the design of scalable cloud-native architectures, and mentor engineers while fostering a culture of technical excellence and continuous improvement.
Responsibilities
- Develop our data platform built on Databricks & Kubernetes from end to end
- Integrate new data sources such as test automation results, deployments, and vulnerabilities
- Utilize data sources to build accurate and reliable metrics through automated processes
- Contribute to the design and implementation of a scalable data platform architecture on Azure
- Participate in the larger enablement community and help improve processes every day
- Apply an "open-source and build yourself" mentality within a corporate environment through innersourcing
- Architect and implement CI/CD pipelines, robust scrapers, automation scripts, and Infrastructure as Code templates to streamline deployment processes
- Optimize performance, reliability, and cost-efficiency of data pipelines and analytics workloads
- Coach and mentor engineers to foster technical excellence, code quality, and knowledge sharing
- Communicate complex technical concepts clearly to both technical and non-technical stakeholders
Requirements
- 3+ years of relevant professional experience in data engineering, data warehousing, and software development, preferably in large-scale or complex environments
- Understanding of modern data architectures and the ability to design scalable, maintainable, and future-proof solutions aligned with business goals
- Hands-on experience with cloud platforms, particularly Azure, including designing and deploying cloud-native data solutions
- Proficiency in DBT, Python, and Terraform
- Proficiency in GitHub Actions, Databricks, and Go
- Skills in SQL and the ability to select and advocate for the right tools for the job
- Expertise in optimizing performance, reliability, and cost-efficiency of data pipelines and analytics workloads
- Experience architecting CI/CD pipelines, robust scrapers, automation scripts, and Infrastructure as Code templates
- Passion for navigating and thriving in complex, ambiguous environments with a proactive approach to problem-solving
- Strong architectural vision and the ability to contribute to the technical roadmap
- Proven track record of coaching and mentoring engineers
- Excellent communication skills to translate technical concepts for varied audiences