IT Lead Architect - Data Engineering
Posted on: 10/07/2025
Job Description
Position Summary :
IT Lead Architect Azure Lake D&IT DATA. This profile will lead a team of architects and 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.
Requirements :
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.
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Posted By
51
Posted in
Data Engineering
Functional Area
Data Engineering
Job Code
1511198
