Platform Engineer owning AWS, Kubernetes, observability, and Linux edge infrastructure. Improving reliability, automation, and developer workflows for Fleetworthy’s fleet - readiness technology.
About the role
- Databricks Platform Engineer responsible for owning and optimizing the Databricks platform. Collaborating with various teams to support workflows and ensuring performance and security.
Responsibilities
- Administer, configure, and maintain Azure Databricks workspaces, including user management, cluster setup, resource allocation, provisioning cloud services, and backup and recovery strategy
- Own and evolve platform automation, including Infrastructure as Code (Terraform) and Azure DevOps CI/CD pipelines for Databricks and dependent cloud resources
- Monitor system performance and troubleshoot issues related to Databricks clusters, jobs, and data pipelines
- Implement best practices for security, compliance, and cost management within Azure Databricks environments
- Collaborate with data engineers, data scientists, and other stakeholders to support their workflows and optimize platform usage
- Partner with cloud networking and security teams to design and operate secure connectivity patterns
- Integrate Databricks with various SaaS products and services
- Administer and maintain Power BI workspaces, datasets, and reports
- Automate routine administrative tasks using scripting (Python and/or Bash) and Databricks REST APIs
- Manage data access controls, auditing, and monitoring to maintain data integrity and privacy
- Stay current with new features, updates, and best practices in Databricks, Azure, and relevant SaaS platforms
- Document procedures, configurations, and troubleshooting steps for internal knowledge sharing.
Requirements
- Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent experience)
- Proven experience administering Azure Databricks (or cross-cloud equivalent)
- Solid understanding of Azure cloud services (e.g., Azure Data Lake, Azure Synapse Analytics, Entra, Azure DevOps)
- Proficiency with Infrastructure as Code using Terraform (preferred)
- Working knowledge of cloud infrastructure concepts—storage, networking, and identity and access management (IAM)
- Experience integrating and managing SaaS products within a cloud-based data ecosystem
- Strong scripting and automation skills (Python and/or Bash)
- Knowledge of big data concepts, Spark architecture, and ETL processes
- Familiarity with data security, compliance, and governance best practices
- Agility, innovation, responsiveness and a continuous improvement mindset through proactive problem-solving
- Relevant certifications (e.g., Azure Administrator, Databricks Certified Associate) are a plus.
Benefits
- Flexible work arrangements
- Multiple benefits offered to support physical and mental wellbeing
- Wellness account and much more
- Share plan & other savings
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