Architecte de données

As a Data Solution Architect, you will design, implement, and optimize cloud-based data solutions using Azure and Databricks, including the migration of ETL jobs to Databricks. You will ensure that data architectures are scalable, secure, and aligned with enterprise standards.

Primary Tasks & Responsibilities

1. Azure Engineering & Architecture

• Hands-on configuration and setup of Azure services

• Environment provisioning, networking, IAM, and security

• Design of secure and efficient Azure architectures with the Enterprise Architect and the team

• Troubleshooting and optimization

2. Databricks Engineering

• Migration of ETL jobs to Databricks

• Redesign ETL/ELT processes in Databricks

• Configure clusters, workspaces, notebooks, and CI/CD

• Perform performance tuning and workflow optimization

3. Architecture & Best Practices

• Define end-to-end data architectures and standards with the Enterprise Architect and the team

• Ensure alignment with governance, lineage, and security

• Produce architecture documentation with the Enterprise Architect and the team

• Collaborate with cross-functional teams

4. Transition & Solution Design (Legacy → New Platform)

• Support the design and decision-making process during the transition between the existing platform and the new Azure / Databricks environment.

• Analyze constraints of both platforms and propose pragmatic, step by step solutions.

• Participate in refinement to help define what to migrate, how, and in which sequence, ensuring alignment with both technical realities and business priorities.

• Design temporary or hybrid solutions when needed to guarantee a smooth and controlled transition.

5. Support & Collaboration

• Provide guidance on Azure and Databricks usage

• Refine, prioritize, and manage user stories, ensuring clear acceptance criteria and strong alignment with business and technical objectives.

• Actively participate in sprint reviews and planning sessions

• Fulfil Product ownership responsibilities of the Data Platform, owning product vision, roadmap, stakeholder communication, and value delivery.

• Mentor team members on best practices

Secondary Tasks & Responsibilities

• Support incident resolution related to data pipelines or cloud services

• Improve monitoring, observability, and alerting systems

• Contribute to CI/CD improvements for data pipelines

• Support data quality initiatives and validation frameworks

• Evaluate new tools or technologies

• Participate in enforcing coding standards

• Collaborate with security teams to ensure compliance

• Assist in cloud cost optimization and resource usage governance

• Provide backup support for other architects/engineers

Technical Profile Requirements

Required Technical Skills

• Certification & Strong hands-on experience with Azure (Key Vault, IAM, networking)

• Certification & Strong hands-on experience with Databricks (Clusters, Delta Lake, Unity Catalog, PySpark, Notebooks)

• Experience in migrating ETL jobs to Databricks

• Solid knowledge of data lake house architectures

• Strong understanding of cloud security principles

• Hands-on experience with CI/CD and Git workflows

Nice-to-Have Skills

• Terraform or Bicep

• Docker or Kubernetes

• Data governance tools (e.g., Purview, Collibra)

Non-Technical Profile Requirements

Communication & Collaboration

• Excellent communication skills with both technical and business stakeholders

• Ability to explain complex concepts in a clear and structured way

• Ability to work in multilingual environments

Leadership & Ownership

• Proactive, autonomous, and able to take ownership of architectural decisions

• Capable of leading technical initiatives from design to implementation

• Strong sense of responsibility and commitment to delivery deadlines

Problem-Solving & Analytical Thinking

• Structured and analytical mindset

• Ability to troubleshoot complex data or cloud architecture issues

• Capacity to anticipate risks and propose mitigation strategies

Team Spirit & Adaptability

• Collaborative mindset and willingness to work with diverse teams

• Flexibility to adapt to evolving priorities and new technologies

• Comfortable working in a hybrid onsite/remote model

Professional Attitude

• Strong client orientation and result-driven mentality

• Highly organized, with excellent time-management skills

• Respectful, reliable, and able to maintain confidentiality where needed

Certifications:

• Azure Certification – required

• Databricks Certification – required