Senior Engineer - Azure Databricks/DataLake

Position Summary :

Job Responsibility :

Strategic Data Architecture and Roadmap :

- Develop and maintain the company's data architecture strategy aligned with business objectives.

- Lead design and/or architecture validation reviews with all stakeholders, assess projects against architectural principles and target solutions, organize and lead architecture committees.

- Select new solutions that meet business needs, aligned with existing recommendations and solutions, and broadly with IS strategy.

- Model the company's information systems and business processes.

- Define a clear roadmap to modernize and optimize data management practices and technologies.

Platform Design and Implementation :

- Architect scalable data flows, storage solutions, and analytics platforms in cloud and hybrid environments.

- Ensure secure, high-performing, and cost-effective data solutions.

Data Governance and Quality :

- Establish data governance frameworks ensuring data accuracy, availability, and security.

- Promote and enforce best practices for data quality management.

- Ensure compliance with enterprise architecture standards and principles.

Technical Leadership :

- Act as a technical advisor on complex data-related projects and proof of concepts.

Stakeholder Collaboration :

- Collaborate with business stakeholders to understand data needs and translate them into architectural solutions.

- Work with relevant stakeholders in defining project scope, planning development, and validating milestones throughout project execution.

Emerging Technologies and Innovation :

- Drive the adoption of new technologies and assess their impact on the organization's data strategy.

- Conduct technological watch in both company activity domains and IT technologies, promoting innovative solutions adapted to the company.

- Define principles, standards, and tools for system modeling and process management.

- Developing on a wide range of technologies related to Datalakes.

- Development : SQL, SYNAPSE, Databricks, Powerbi, Fabric.

- Tools : Visual Studio & TFS, GIT.

- Database : SQL Server.

- Methodologies : Agile (SCRUM).

- SAP BW / SAC.

Requirements

Required Skill :

- Azure or AWS, Databricks and Synapse.

- Deep knowledge of cloud data platforms (Microsoft Azure, Fabric, Databricks).

- Understanding of SAP-based technologies (SAP BW, SAP DataSphere, HANA, S/4, ECC).

- Experience with visualization, reporting, and self-service tools (Power BI, Tableau, SAP Analytics Cloud).

- Understanding data modeling, ETL/ELT technologies, and big data.

- Experience with relational and NoSQL databases.

- Deep knowledge of data security and compliance best practices.

Qualification and Experience :

- Experience 4-6 years.

- Bachelor's or Master's degree in Computer Science, Data Science, or a related field.

- Experience in data architecture, with at least 3 years in a leadership role.

- Experience with AI/ML.

- Familiarity with data mesh and data fabric architectural approaches.

- Certifications in data architecture or cloud technologies.

- Certifications in project management.

- 3-year experience as Analyst in large scale projects.

- 5-year experience in back-end/full stack development in large scale projects with Azure Synapse / Databricks.

- Excellent communication and presentation skills for both technical and non-technical audiences.

- Strong problem-solving skills and an ability to navigate complexity.