🟢 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

🟢 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

🟢 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

🟢 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