Job DescriptionPlatform Administration & Governance
- Support the administration of Databricks environments (DEV, TEST, PROD).
- Manage user access, roles, and permissions.
- Support identity provisioning through Azure AD and AWS IAM.
- Collaborate with cloud teams on connectivity, storage access, and security-related topics.
Workspace Operations & Support
- Manage access to notebooks, jobs, clusters, and SQL Warehouses.
- Support cluster configuration and enforce usage policies.
- Troubleshoot platform-related issues and coordinate with support teams to ensure timely resolution.
- Maintain operational documentation and internal guidelines.
Data Governance & Security
- Support Unity Catalog governance, including catalogs, schemas, and tables.
- Manage access controls and data ownership.
- Ensure compliance with platform security standards and audit requirements.
- Contribute to data governance and compliance initiatives.
DevOps & Automation
- Support CI/CD processes for Databricks deployments.
- Participate in automation initiatives using Git-based workflows.
- Contribute to the development and maintenance of standard templates and deployment practices.
- Support application and platform lifecycle management across environments.
Cost & Usage Management
- Monitor platform usage and identify optimization opportunities.
- Support cost tracking, reporting, and analysis activities.
- Contribute to tagging strategies and governance practices for accurate cost allocation and attribution.
Profile DescriptionEducation
- Master’s Degree (Bac+5) in Computer Science, Software Engineering, Data Engineering, or a related technical field.
Experience
- Minimum of 1 year of experience as a Data Platform Engineer.
- Good understanding of CI/CD concepts and Git-based workflows.
- Experience working with cloud-based data platforms or in DevOps environments is a plus.
Technical Skills
- Experience with Databricks administration, including workspace management, access management, cluster administration, and Unity Catalog.
- Knowledge of Microsoft Azure cloud services (preferred) or other cloud platforms such as AWS or GCP.
- Familiarity with Infrastructure as Code (IaC) concepts; experience with Terraform is a plus.
- Basic scripting skills in Python and/or Bash are an advantage.
Certifications (Nice to Have)
Languages & Soft Skills
- Strong communication skills in English, both written and spoken.
- Good analytical, problem-solving, and troubleshooting abilities.
- Ability to work effectively in a collaborative and international environment.
- Proactive mindset with a structured and results-oriented approach to work.
Technical Profile
- Databricks Expertise: Hands-on experience with Unity Catalog, Account Console, and Workspace Administration.
- IaC & Automation: Strong proficiency in Terraform; experience with Databricks CLI, Databricks Asset Bundles, and REST APIs.
- Cloud Infrastructure: Solid understanding of Azure (preferred) or AWS/GCP networking, security, and access management.
- CI/CD Tooling: Experience with GitHub Actions, Azure DevOps, GitLab CI, or similar CI/CD platforms.
- Scripting & Automation: Proficiency in Python and Bash scripting for platform automation and operational efficiency.
We Offer
- * A role with true technical ownership: architecture, scaling, and governance decisions that directly impact production AI solutions.
- Complex projects that go beyond “just pipelines” – covering big data processing and large-scale ML/DL deployment.
- Opportunities to deepen your expertise in Databricks, cloud-native ML, and MLOps.
- A team where your input and technical decisions truly matter.
- A competitive package and benefits.
Join us and make a direct impact on shaping the future of Data, AI, and Mobility.
If you have these qualifications and are looking for a new challenge, we encourage you to apply to discuss it further!
- * A role with true technical ownership: architecture, scaling, and governance decisions that directly impact production AI solutions.
- Complex projects that go beyond “just pipelines” – covering big data processing and large-scale ML/DL deployment.
- Opportunities to deepen your expertise in Databricks, cloud-native ML, and MLOps.
- A team where your input and technical decisions truly matter.
- A competitive package and benefits.
Join us and make a direct impact on shaping the future of Data, AI, and Mobility.
If you have these qualifications and are looking for a new challenge, we encourage you to apply to discuss it further!Samira
Boudad
SAMIRA.BOUDAD@AVL.COM
