Imagine being part of a team that is actively driving the future. At Davies, we combine technology, analytics, and professional services to help clients solve complex business challenges. We are seeking a Lead- DevOps Engineer with GitHub, Microsoft Fabric, and cloud data platform experience to automate and support delivery of Data and AI products.
Key Responsibilities
- Design GitHub workflows, branching strategies, pull request standards, and source control practices for Fabric workspaces and data products.
- Build CI/CD processes for Microsoft Fabric, Power BI, data engineering, analytics, and AI delivery across dev, test, and production.
- Partner with data engineering, analytics, security, and product teams to automate deployments, testing, release management, and monitoring.
- Develop reusable DevOps patterns, scripts, templates, documentation, and standards that improve speed, quality, traceability, and reliability.
- Troubleshoot deployments, manage configurations, support workspace integration, and promote secure, scalable platform operations.
Skills, Knowledge and Expertise
- Bachelor's degree in Computer Science, Information Systems, Engineering, Data Engineering, or a related field.
- 6+ years of DevOps, platform engineering, data engineering, cloud engineering, or software delivery experience.
- Hands-on experience with GitHub, GitHub Actions, source control, branching models, pull requests, release automation, and CI/CD.
- Experience with Microsoft Fabric, Power BI, Azure DevOps, Azure services, infrastructure as code, scripting, APIs, and data platform delivery.
- Strong collaboration skills with the ability to translate delivery needs into scalable DevOps solutions
