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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 employer, metro location, and broad Databricks/AWS skillset create moderate applicant competition.
Specialized Databricks platform, governance, and regulated-industry expertise require strong domain-specific background.
Explicit 9–12 years and deep Databricks, AWS, security and FinOps requirements enforce strict shortlisting.
Job Description
Structured overview of role & requirementsAbout This Role
Lead design and governance of the Databricks Data Intelligence Platform, establishing architecture, standards, and lifecycle management.
Drive platform enablement through reusable APIs, automation, policy controls, cost management, and observability frameworks.
Ensure secure, scalable platform capabilities supporting data engineering, BI, AI/ML teams without owning business-specific data pipelines.
Minimum Requirements
9 to 12 years relevant experience with enterprise Databricks platform ownership or technical leadership beyond notebook development.
Bachelor's or Master's degree in computer science or engineering.
Expertise in Databricks platform areas including administration, Unity Catalog security, Apache Spark, MLflow, and AI/ML model lifecycle management.
Strong AWS skills (IAM, VPC, S3, EC2, KMS, CloudWatch) and experience with automation tools like Terraform, Databricks SDKs, CLI, and APIs.
Ideal Candidate Profile
Experienced in shaping scalable platform architecture, governance, security, and FinOps for enterprise data platforms.
Skilled in integrating Databricks with third-party tools for metadata, observability, and governed AI capabilities in regulated industries.
Proficient in cross-team collaboration to drive platform adoption, standards enforcement, and developer enablement in Agile environments.