Databricks Platform Engineer Administrator
Posted on Apr 24, 2025 by Ubique Systems UK Limited
West Midlands, United Kingdom
IT
Immediate Start
Annual Salary
Contract/Project
Key Responsibilities:
Databricks Platform Support:
- Provide daily support for the Databricks platform running on AWS.
- Ensuring data security and access controls are setup and maintained
- Monitor and troubleshoot clusters, workspaces, jobs, and other Databricks resources
- Familiar with setting up and using medallion architecture, and the unity catalog
- Handle incidents, requests, and changes in Databricks environments.
- Collaborate with engineering and DevOps teams to resolve complex platform issues.
- Familiarity with Databricks ML flows and monitoring
Performance Tuning & Optimization:
- Analyse workloads and optimize Databricks clusters for performance and cost-efficiency.
- Recommend best practices for efficient Spark job execution and data processing.
AWS Infrastructure Management:
- Manage and configure AWS services (eg, S3, EC2, IAM, Lambda) that integrate with Databricks.
- Ensure proper security configurations and compliance with AWS standards.
- Manage networking, security groups, and VPCs related to Databricks setup.
Automation & DevOps:
- Develop and maintain automation scripts for platform maintenance and monitoring.
- Work closely with DevOps teams to automate cluster management, scaling, and infrastructure provisioning.
- Implement CI/CD pipelines for Databricks deployments using tools like Jenkins, Git, or Terraform.
Qualifications:
- Bachelor's degree in computer science, Information Technology, or related field. and 5+ years of experience supporting Databricks or similar data platforms.
- Strong expertise in Databricks on AWS: cluster management, job execution, Spark optimization.
- Hands-on experience with AWS services like EC2, S3, IAM, Lambda, RDS, VPC.
- Proficiency in Python, Scala, or SQL for data engineering tasks.
- Solid understanding of Apache Spark, ETL pipelines, and big data processing.
- Familiarity with DevOps practices, automation tools (Terraform, Ansible), and CI/CD pipelines.
- Experience with monitoring and logging tools (CloudWatch, Datadog, or similar).
- Strong problem-solving and troubleshooting skills.
- Excellent written and verbal communication skills.
Reference: 2937719395
https://jobs.careeraddict.com/post/103025820
Databricks Platform Engineer Administrator

Posted on Apr 24, 2025 by Ubique Systems UK Limited
West Midlands, United Kingdom
IT
Immediate Start
Annual Salary
Contract/Project
Key Responsibilities:
Databricks Platform Support:
- Provide daily support for the Databricks platform running on AWS.
- Ensuring data security and access controls are setup and maintained
- Monitor and troubleshoot clusters, workspaces, jobs, and other Databricks resources
- Familiar with setting up and using medallion architecture, and the unity catalog
- Handle incidents, requests, and changes in Databricks environments.
- Collaborate with engineering and DevOps teams to resolve complex platform issues.
- Familiarity with Databricks ML flows and monitoring
Performance Tuning & Optimization:
- Analyse workloads and optimize Databricks clusters for performance and cost-efficiency.
- Recommend best practices for efficient Spark job execution and data processing.
AWS Infrastructure Management:
- Manage and configure AWS services (eg, S3, EC2, IAM, Lambda) that integrate with Databricks.
- Ensure proper security configurations and compliance with AWS standards.
- Manage networking, security groups, and VPCs related to Databricks setup.
Automation & DevOps:
- Develop and maintain automation scripts for platform maintenance and monitoring.
- Work closely with DevOps teams to automate cluster management, scaling, and infrastructure provisioning.
- Implement CI/CD pipelines for Databricks deployments using tools like Jenkins, Git, or Terraform.
Qualifications:
- Bachelor's degree in computer science, Information Technology, or related field. and 5+ years of experience supporting Databricks or similar data platforms.
- Strong expertise in Databricks on AWS: cluster management, job execution, Spark optimization.
- Hands-on experience with AWS services like EC2, S3, IAM, Lambda, RDS, VPC.
- Proficiency in Python, Scala, or SQL for data engineering tasks.
- Solid understanding of Apache Spark, ETL pipelines, and big data processing.
- Familiarity with DevOps practices, automation tools (Terraform, Ansible), and CI/CD pipelines.
- Experience with monitoring and logging tools (CloudWatch, Datadog, or similar).
- Strong problem-solving and troubleshooting skills.
- Excellent written and verbal communication skills.
Reference: 2937719395

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