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Databricks Platform Administrator – OPS00065

    Databricks Platform Administrator – OPS00065

    🟢 At Dev.Pro, we work on projects that impact millions of people around the world — but we know it’s the people behind the tech who make it all happen. We truly value what makes each person unique and are building a workplace that’s inclusive, friendly, and supportive.

    About this opportunity

    We invite a Databricks Platform Administrator to join our Data Platform team. In this high-impact role, you’ll own the day-to-day administration, optimization, and evolution of our Databricks environment. You’ll ensure our data scientists and engineers have a reliable, well-governed, and high-performing platform for analytics, ML experimentation, and production workloads.

    What’s in it for you

    • Drive the growth and integration of our Databricks platform across the broader data ecosystem
    • Get hands-on experience across the modern data/ML stack (Databricks, Spark, Delta Live Tables, MLflow, AI/LLM tools, Unity Catalog)
    • Partner with top data scientists and ML experts to solve complex data challenges and deliver a real impact across the organization

    🧩 Key responsibilities and your contribution

    In this role, you’ll own and optimize our Databricks platform, ensuring reliable, secure, and efficient operations for our data and ML teams.

    • Own the health, security, and governance of the Databricks environment
    • Manage, scale, and optimize computing clusters for data science and ML workloads
    • Configure workspaces, access controls, and network settings
    • Ensure high availability and reliability of analytics workloads
    • Monitor platform performance; build dashboards/alerts for cluster efficiency and job success
    • Enable and improve data ingestion, transformation, and model execution workflows
    • Build self-service tools to provision notebooks, clusters, and environments; drive automation to reduce toil
    • Manage Unity Catalog rollout/adoption for data discovery, lineage, and access governance
    • Review workspace configurations, cluster policies, and user permissions to maintain security
    • Support audit and compliance for data governance across Databricks
    • Partner with data and ML teams to optimize platform experience and unblock workflows
    • Coordinate with Cloud DevOps on AWS infrastructure, networking, and IAM dependencies

    ✅ Is that you?

    • 5+ years in Databricks administration or engineering, or in a closely related data platform role
    • Strong Databricks workspace administration skills, including cluster policies, permissions, Unity Catalog, Jobs/Workflows, and networking
    • Familiarity with AWS services supporting Databricks deployments (S3, IAM, VPC, EC2)
    • Experience with data pipelines and orchestration tools (dbt, Airflow, Fivetran, Delta Live Tables)
    • Proficiency in Python and SQL; familiarity with Spark
    • Understanding of modern data governance and access control patterns (RBAC, data classification)
    • Bachelor’s degree in a STEM field
    • Upper-Intermediate English level

    ✅ Nice to have

    • Experience in financial services or regulated industries
    • Experience with Snowflake and AWS engineering
    • Hands-on experience with MLflow, model serving, or feature store in Databricks
    • Familiarity with IaC tools (Terraform) for managing Databricks resources
    • Experience with AI/LLMOps tools (observability, evaluation pipelines, agentic workflows)
    • Experience optimizing Databricks costs (cluster policies, spot instances, Photon, serverless SQL)
    • Knowledge of distributed computing frameworks (Spark, Ray, Dask)

    🎾 What’s working at Dev.Pro like?

    ✔️ 30 paid days off each year — use them for vacation, holidays, or personal time
    ✔️ 5 paid sick days, up to 60 days of medical leave, and 6 paid days off for family events like weddings, funerals, or having a baby
    ✔️ Partially covered health insurance – after probation
    ✔️ Wellness bonus for gym memberships, sports nutrition, and similar needs

    Our next steps:

    ✅ Submit a CV in English — ✅ Intro call with a Recruiter — ✅ Internal interview — ✅ Client interview — ✅ Offer

    Interested? Find out more:

    📋How we work

    💻 LinkedIn Page

    📈 Our website

    💻IG Page

    Apply: