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Protocol Intelligence
Data-driven signals on your job's competitivenessMetro mid-level role with 3–6 years and moderate brand presence, but Databricks specialization limits mass competition.
Highly specialized Databricks and MLOps platform skills limit transferability across industries.
Explicit 5+ years, 3+ Databricks, and mandatory IaC/CI-CD skills enforce strict candidate filters.
Job Description
Structured overview of role & requirementsAbout This Role
Design, build, configure, and maintain scalable, secure, and reliable Databricks platform environments across development, testing, and production.
Automate platform deployment and management using Infrastructure as Code (Terraform, CI/CD pipelines), ensuring high availability, security, and compliance.
Enable and support DataOps, MLOps, AI/ML workloads including integration with enterprise data platforms and AI tools, driving operational excellence and platform adoption.
Minimum Requirements
Bachelor's or Master's degree in Computer Science, Engineering, IT, or related field.
5+ years of experience in Data, Platform, or Cloud Engineering; 3+ years with Databricks Lakehouse Platform.
Strong skills in Delta Lake, Unity Catalog, MLflow, Databricks Workflows, Structured Streaming, PySpark, Spark SQL, Python, SQL.
Experience with cloud platforms (Azure, AWS, or GCP), DevOps practices, CI/CD tools (Terraform, GitHub Actions, Azure DevOps) and platform automation.
Ideal Candidate Profile
Experienced engineer capable of end-to-end ownership of enterprise Databricks platform including automation, integration, security, and governance.
Strong background in enabling scalable DataOps and MLOps pipelines and supporting AI/ML workloads and tools within complex enterprise environments.
Proven ability to collaborate with architects, data scientists, security teams, and business stakeholders to drive platform roadmap and adoption.