DATA Plateform & DevOps Enginner

AVL

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.