Data Platform Engineer

In this Platform Engineer role, you keep the platform running smoothly, focusing on security, cost, and root-cause fixes. You work with data teams and AI engineers to simplify their lives through reliable infrastructure and timely incident responses. You’ll maintain Azure and Databricks environments, build integrations, and ensure robust backup, monitoring, and runbooks. You’ll collaborate cross-functionally to control costs and document dependencies, shaping a scalable data platform for our events ecosystem. This is an impact role at a dynamic B2B media company with a strong emphasis on reliability and operational excellence.

• Maintain Azure and Databricks infrastructure in Terraform, including environments, remote state and drift
• Manage Databricks workspaces, compute, Unity Catalog and access
• Look after networking, security and identity, working with IT where needed
• Design and support integrations between DataCore and systems like Salesforce, HubSpot and registration providers
• Handle authentication, data mapping, API limits and failures
• Maintain CI/CD pipelines and deployment workflows
• Monitor platform health and data freshness, and investigate incidents
• Keep backup and recovery runbooks current
• Track Azure and Databricks spend, and improve configuration with engineering teams
• Document platform dependencies and automate routine tasks

• Experience running production Azure infrastructure
• Hands-on Terraform and Git experience
• Practical experience with Azure Databricks
• Working knowledge of SQL and lakehouse architecture
• Experience building production integrations using REST APIs
• Scripting skills in Python, PowerShell or similar
• Experience supporting production services and managing incidents
• Clear communicator who follows problems through to completion

• Clear communicator
• Problem-solving mindset
• Collaborative teamwork
• Azure
• Databricks
• Terraform