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IT Lead Architect - Azure/DataLake (10-12 yrs)
Recro
posted 2 days ago
Flexible timing
Key skills for the job
Position Summary :
IT Lead Architect/Associate Principle 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 :
- 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 companys information systems and business processes.
- Define a clear roadmap to modernize and optimize data management practices and technologies.
Emerging Technologies and Innovation :
- 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 :
- Ensure secure, high-performing, and cost-effective data solutions.
Data Governance and Quality :
- Promote and enforce best practices for data quality management.
- Ensure compliance with enterprise architecture standards and principles.
Technical Leadership :
Stakeholder Collaboration :
- 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.
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 :
- Bachelors or Masters 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.
Functional Areas: Other
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