Lead Architect

Position Summary:

We're hiring for one of the world's leading steel and mining company, exerting our influence across 60+ countries with a robust industrial footprint in 18. We are a global team of 158,00+ talented individuals committed to building a better world with smarter low-carbon steel. Our strategies are not just about scale; they're also about leading a transformative change where innovation meets sustainability.   With a presence in over 150 countries, this organisation provides services across consulting, audit, tax, risk advisory, and financial advisory — helping Fortune 500 companies and governments navigate complex challenges.

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: 
  • 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.   

Benefits

• Safety: We prioritize a proactive safety-first culture where every employee is empowered to identify and address risks, ensuring a safe working environment for all.   
• Sustainability: We aim for long-term profitability by adapting to evolving social and environmental trends, investing in a circular and decarbonized future for steel, and contributing to a better world.   
• Quality: We strive for excellence in products, processes, and performance through innovation, operational expertise, and a commitment to exceeding customer expectations.   
• Leadership: We maintain a leading position through visionary thinking, a willingness to challenge conventions, and a drive to redefine steel for a new generation through innovation and strategic partnerships.