What are the responsibilities and job description for the Databricks Platform Admin position at capgemini?
We are seeking a skilled Databricks Platform Administrator to support deployment, configuration, and management of Databricks environments. This role involves ensuring secure access, performance optimization, issue resolution, and platform reliability to support data engineering and analytics use cases.
Key Responsibilities:
- Deploy, configure, and manage Databricks clusters, notebooks, and associated workspace resources.
- Implement and maintain secure role-based access controls and Identity and Access Management (IAM) policies.
- Monitor Databricks jobs and workloads to optimize cluster performance and cost efficiency.
- Troubleshoot platform-related issues, provide resolutions, and minimize operational downtime.
- Collaborate with data engineers, platform teams, and security teams to enforce platform best practices.
- Maintain detailed documentation on system configurations, policies, and troubleshooting procedures.
- Provide technical support to users for Databricks access, cluster usage, and job execution.
Required Qualifications:
- 4 years of experience working with Databricks on Azure or AWS.
- Experience managing Databricks clusters, notebooks, libraries, and user permissions.
- Strong understanding of Spark architecture, autoscaling, and cluster lifecycle management.
- Proficiency with scripting and automation (e.g., Bash, Python, PowerShell).
- Experience with IAM, RBAC, and workspace-level access configurations.
- Strong troubleshooting, analytical, and performance tuning skills.
Preferred Skills:
- Familiarity with Databricks REST APIs, Terraform for Databricks, or Databricks CLI.
- Experience with monitoring tools and cost optimization practices in a cloud environment.
- Understanding of data lakehouse architecture and integration with cloud storage solutions.
- Exposure to data governance tools (e.g., Unity Catalog, Purview, or Collibra).
- Experience supporting ETL/ELT workloads and pipeline orchestration within Databricks.
Skills Summary:
Core Expertise:
Databricks administration, cloud data platform operations, cluster optimization, access control
Languages & Frameworks:
Python, Bash, PowerShell, SQL
Cloud & Containerization:
Azure, AWS, Databricks workspace, IAM, Spark
Database & Messaging:
Delta Lake, cloud object storage (ADLS, S3), job orchestration
DevOps & CI/CD:
Terraform, Databricks CLI, REST APIs, scripting automation
Other Tools & Technologies:
Unity Catalog, monitoring tools, role-based access (RBAC), data lakehouse architecture
Soft Skills:
Cross-team collaboration, platform documentation, user support, problem-solving, proactive monitoring
The pay range that the employer in good faith reasonably expects to pay for this position is $36.98/hour - $57.79/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis. Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.
Salary : $37 - $58
