🟢 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