AVL Maroc SARL AU offers a job in Morocco (MA) as

DATA Plateform & DevOps Enginner

We are looking for a Databricks Platform Administrator / Data Platform Engineer responsible for supporting the administration, governance, and operational management of the Databricks platform. The role focuses on ensuring platform stability, security, cost efficiency, and enabling data teams through standardized processes and automation.

YOUR RESPONSIBILITIES:

Platform Administration & Governance

• Support the administration of Databricks environments (DEV, TEST, PROD)

• Manage user access, roles, and permissions

• Support identity provisioning via Azure AD / AWS IAM

• Collaborate with cloud teams on connectivity, storage access, and security topics

Workspace Operations & Support

• Manage access to notebooks, jobs, clusters, and SQL Warehouses

• Support cluster configuration and usage policies

• Troubleshoot platform-related issues and coordinate with support teams

• Maintain operational documentation and internal guidelines

Data Governance & Security

• Support Unity Catalog governance (catalogs, schemas, tables)

• Manage access controls and data ownership

• Ensure platform security standards and audit readiness

• Contribute to compliance and governance processes

DevOps & Automation

• Support CI/CD processes for Databricks deployments

• Participate in automation initiatives using Git-based workflows

• Contribute to standard templates and deployment practices

• Support lifecycle management across environments

Cost & Usage Management

• Monitor platform usage and identify optimization opportunities

• Support cost tracking and reporting activities

• Contribute to tagging and governance practices for cost attribution

YOUR PROFILE:

• Master’s degree (Bac+5) in Computer Science, Software Engineering, Data Engineering, or a related technical field

• Minimum 3 years of experience in Databricks platform administration, preferably in an Azure environment

• Good understanding of CI/CD concepts and Git-based workflows

• Experience working in cloud-based data platforms or DevOps environments is a plus

• Experience with Databricks administration (workspace management, access management, clusters, Unity Catalog is a plus)

• Knowledge of Azure cloud services (preferred) or other cloud providers

• Familiarity with Infrastructure as Code concepts (Terraform is a plus)

• Scripting knowledge (Python or Bash is a plus)

• Databricks certifications (ex: Databricks Certified Data Engineer, Databricks Platform Administrator)

• Cloud certifications such as Azure Data Engineer, AWS Solutions Architect, or equivalent

• Strong English communication skills (written and spoken)

• Good analytical and troubleshooting skills

• Ability to work in a collaborative and international environment

• Proactive mindset and structured way of working

° - Databricks Expertise: Deep experience with Unity Catalog, Account Console, and Workspace administration - IaC & Automation: Expert proficiency in Terraform; experience with Databricks CLI, Asset Bundles, and REST API - Cloud Infrastructure: Strong knowledge of Azure (preferred) or AWS/GCP networking and security - CI/CD Tooling: Proven experience with GitHub Actions, Azure DevOps, or GitLab CI - Scripting: Proficient in Python and Bash for platform au

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!