Databricks Platform Administrator - OPS00065

São Paulo - SP
Permanente
Período integral

Há 3 dias
Aplicar facilmente

🟢 At , 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 opportunityWe 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 contributionIn 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 needsOur next steps:✅ Submit a CV in English — ✅ Intro call with a Recruiter — ✅ Internal interview — ✅ Client interview — ✅ OfferInterested? Find out more:

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