Director, Data Engineering & Platforms

New
J
JobgetherHealthcare, Life Sciences
Based in India, Standard UK business hoursFull-TimeDirector
Salary not disclosed
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Job Details

Experience
12+ years of progressively responsible experience
Required Skills
Microsoft AzureMicrosoft Power BIDevOpsMLOpsGenerative AI

Requirements

  • Bachelor's degree in Computer Science, Mathematics, IT, or related field (Master's preferred).
  • 12+ years of progressively responsible experience in information technology.
  • 7+ years of hands-on experience building and managing data platforms within Microsoft Azure.
  • Strong expertise in Azure Data Lake, Databricks, Data Factory, Service Bus, SQL Database, and Power BI.
  • 7+ years of technology management experience with a track record of leading high-performing teams.
  • 7+ years of experience specifically managing data and analytics teams.
  • 5+ years of experience managing follow-the-sun data operations or engineering environments.
  • 5+ years of experience in incident management and troubleshooting.
  • Experience with Infrastructure as Code, DevOps, and MLOps practices.
  • Experience designing and managing generative AI systems is highly desirable.
  • Strong interpersonal, communication, and stakeholder-management skills.
  • Ability to work fully remote and maintain standard UK business hours.

Responsibilities

  • Contribute to technology strategy, architecture, and long-term platform evolution as a member of the Enterprise Data & Analytics leadership team.
  • Lead data and analytics teams in a follow-the-sun model to ensure reliable delivery and operational support.
  • Architect and optimize secure, scalable data platforms and infrastructure on Azure.
  • Mentor and build high-performing engineering and data operations teams.
  • Act as a trusted advisor to stakeholders, translating technical challenges into practical solutions.
  • Manage budgets and identify cost-optimization opportunities.
  • Serve as the local manager for remote technology employees in India across various disciplines.
  • Develop next-generation data, analytics, and generative AI capabilities.
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