Azure Tech Lead

MAIN PURPOSE

The Azure Tech Lead plays a pivotal role in driving technical strategy, agile delivery, and platform excellence across enterprise data initiatives. This role is accountable for leading the end-to-end design, development, and deployment of scalable data engineering and analytics solutions on Azure—spanning domains such as Supply Chain, Finance, Operations, Customer Experience, HR, Risk Management, and Global IT.

Reporting into cross-functional leadership, the Engineering Lead serves as a strategic partner to Business Analytics & Insights (BAI), Azure Engineering, and DevOps teams. The role ensures alignment of technical execution with business outcomes, oversees platform performance and data governance, and fosters innovation through reusable frameworks and streaming architectures. The ideal candidate will provide hands-on guidance to engineering squads, mentor data professionals, and champion continuous improvement across data pipelines, architecture and roadmaps.

KEY RESPONSIBILITIES

• Lead the design, development, and deployment of Azure Data Engineering and Analytics platforms (Azure Data Factory, Databricks, SAC, Power BI) across multiple business groups.
• Act as a bridge between business group IT, product, and engineering teams to align technical execution with strategic objectives.
• Translate business requirements into technical specifications and develop a comprehensive technical plan and oversee execution for the migration, including data ingestion, transformation, storage, and access control, in Azure's Data Factory and data lake.
• Present technical solutions, best practices, and architecture principles to BG IT stakeholders, building alignment across teams.
• Design and implement scalable, reusable and efficient data pipelines and streaming solutions to ensure smooth data movement from multiple sources using Azure Databricks
• Optimize platform performance for scalability and cost efficiency, and maintain documentation for architecture, processes, and best practices.
• Lead business / domain-specific squads, driving agile implementation with a focus on delivery efficiency and continuous improvement.
• Provide technical guidance and support to the team, resolving any technical challenges or issues that may arise during the migration and post-migration phases and mentoring data engineers and developers.
• Manage project timelines, and resources, ensuring timely delivery and adherence to quality standards.
• Monitor feedback from stakeholders and drive continuous improvement, innovation initiatives across Data and Analytics technologies.
• Oversee change, incident, and problem management processes, ensuring operational excellence.
• Lead vendor engagement for licensing agreements, service contracts, and platform capabilities, liaising on platform issues, and implementing new features and integrations, supporting specialized implementations, performance tuning, and innovation initiatives and driving cost optimization for data platform investments.
• Stay up to date with the latest advancements in cloud computing, data engineering, and analytics technologies, and recommend best practices and industry standards for implementing the data lake solutions.

COMPLEXITY OF THE JOB

EDUCATION, EXPERIENCE, LANGUAGE :

Academic Level : Bachelor's degree in Computer Sciences / Information Technology or relevant software engineering degree.

Languages : English (fluent); additional languages are a plus.

Knowledge & Experience :

Relevant Experience :

Will be considered as an advantage but are not required :

Skills Required

Azure Data Factory, Power Bi, Pyspark, Azure Data Lake, Databricks, Python, Sql