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Popular data leadership role in metro with broad skill requirements and a known multinational brand.
Medium; skills transferable across industries, though agritech domain experience is advantageous.
Medium due to leadership expectations and platform-specific skills, despite absence of explicit years requirement.
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Lead and manage data and engineering teams on the Data Mesh platform driving product delivery and modernization of AI, BI, and agentic analytics solutions.
Provide hands-on expertise with technologies including Serverless, Containers (Docker/Vagrant), Databricks, Automated Deployment Tools, Testing Tools, GitHub, and AWS.
Responsible for recruitment, contracting, evaluation, and mentoring of team members.
Experience leading high-impact change projects and managing innovation in large organizations.
Explicit and extensive agile delivery experience.
Strong expertise in data engineering and use of relevant technologies (Serverless, Containers, Databricks, AWS).
Work Experience Required: Not explicitly mentioned in the JD.
Experienced technology leader capable of operating effectively in dynamic, fast-paced environments.
Proven ability to lead, mentor, and develop cross-functional data and engineering teams.
Familiarity or background in industrial sector roles preferred but not mandatory.