AI and Data Solutions Architect

Position Summary : IT - Lead Architect / Associate Principle – Azure Lake - D&IT DATA This profile will lead a team of

architects

engineers

to focus on Strategic Azure architecture and AI projects.

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. Emerging Technologies and Innovation :

Drive the adoption of new technologies (AL / ML) 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. 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. Exposure to a wide range of technologies related to Datalakes SQL, SYNAPSE, Databricks, PowerBI, Fabric, Python Tools : Visual Studio & TFS, GIT. Database : SQL Server. NoSQL Methodologies : Agile (SCRUM). SAP BW / SAC Required Skill :

Expert in Azure, Databricks and Synapse Proven experience leading technical teams and strategic projects. Deep knowledge of cloud data platforms (Microsoft Azure, Fabric, Databricks, or AWS). Proven experience in designing and implementing AI solutions within data architectures. Understanding of SAP-based technologies (SAP BW, SAP DataSphere, HANA, S / 4, ECC). Experience with analytics, visualization, reporting, and self-service tools (Power BI, Tableau, SAP Analytics Cloud). Expert understanding of data modeling, ETL / ELT technologies, and big data. Experience with relational and NoSQL databases. Deep knowledge of data security and compliance best practices Strong experience in Solution Architecture. Proven ability to lead AI / ML projects from conception to deployment. Familiarity with data mesh and data fabric architectural approaches. Qualification and Experience :

Experience – 10-12 years Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field. Experience in data architecture, with at least 5 years in a leadership role. Experience with AI / ML projects. Certifications in data architecture or cloud technologies, project management. 5-year experience in AI model design & deployment Excellent communication and presentation skills for both technical and non-technical audiences. Strong problem-solving skills, stakeholder management, and the ability to navigate complexity.