Data Analyst

Job Description
Platform 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 Description Education
• 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)
• Databricks certifications, such as:
• Databricks Certified Data Engineer
• Databricks Platform Administrator
• Cloud certifications, such as:
• Microsoft Azure Data Engineer Associate
• AWS Solutions Architect
• Equivalent cloud certifications 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