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We are looking for a highly skilled and experienced Technical Lead – Azure DevOps & Infrastructure to be responsible for building and operating the organization’s Data Mesh Platform. The platform is built on Azure and Databricks and enables teams across the company to develop, deploy, and operate data products reliably and at scale. In this role, you will design, implement, and maintain our software development infrastructure, tools, and processes. The ideal candidate will have a strong background in software development, automation, and Azure cloud technologies.
Job Responsibility:
Design, build, and evolve CI/CD pipelines and Azure-based data platform environments, with a strong focus on Azure Databricks
Lead infrastructure automation using Infrastructure-as-Code (Terraform)
Oversee and optimize Azure services, including Databricks and related data platform components (e.g. Data Factory, Data Lake and more)
Translate architectural guidelines into practical implementation plans for the team
Ensure platform reliability, security, performance, and cost efficiency
Act as the primary technical point of contact for stakeholders
Support operational stability, incident resolution, and continuous improvement
Partner with the Product Manager to plan, prioritize, and deliver backlog items
Provide technical direction and ownership for the DevOps & Infrastructure team
Mentor engineers and promote engineering best practices across the team
Support onboarding, team development, and growth
Set goals, provide regular feedback, and conduct performance reviews
Foster a collaborative, accountable, and high-performing team environment
Requirements:
6+ years of experience in DevOps, cloud engineering, or software engineering roles
Strong hands-on experience with Azure cloud services
Proven production experience with Azure Databricks and data platform environments
Deep expertise with Git and Terraform
Strong experience building and evolving CI/CD pipelines using YAML-based systems
Strong understanding of Azure networking and secure cloud connectivity patterns (VNets, subnets, private endpoints)
Proficiency in scripting languages such as Python, Bash, or PowerShell
Solid understanding of DevOps, DevSecOps, and cloud architecture principles
Experience leading a technical team and managing engineers directly
Strong communication, mentoring, and stakeholder management skills
Nice to have:
Experience with Azure Data Factory, Data Lake, or similar data platform services
Familiarity with tools such as Dynatrace, SonarCloud, AquaSecurity, or similar
Azure or Databricks certifications
Familiarity with SAFe delivery environments and backlog management using Azure DevOps
Experience working with enterprise ITSM tools such as ServiceNow