IT-Senior Engineer- Azure Lake -D & IT DATA

Senior Engineer- Azure Lake -D&IT DATA

• 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
  

• Architect scalable data flows, storage solutions, and analytics platforms in cloud and hybrid environments
• Ensure secure, high-performing, and cost-effective data solutions
  

• 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
  

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

• 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
  

• 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

• 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