Cloud Data Engineering Team Lead

2 weeks ago

London, Greater London, United Kingdom Data Intellect Full time
Job Summary

We are seeking a highly skilled Cloud Data Engineering Team Lead to spearhead our Databricks practice. This is a leadership role responsible for driving the growth, innovation, and successful delivery of cloud-based data solutions for our clients leveraging Databricks.

Key Responsibilities
  • Practice Leadership
    • Develop and lead the Databricks practice, establishing it as a key offering within Data Intellect's services.
    • Define the strategic vision for the practice, including service offerings, go-to-market strategies, and best practices.
    • Stay up to date with current with Databricks advancements, industry trends, and competitor strategies to ensure continuous innovation.
    • Collaborate the Business Development Team to drive new business opportunities and expand the client base.
  • Team Management & Development
    • Build, mentor, and manage a team of data engineers and consultants within the Databricks practice.
    • Foster a culture of innovation, continuous learning, and knowledge sharing within the team.
    • Develop training programs and professional development opportunities to ensure team members are skilled in the latest technologies and best practices.
  • Project Delivery & Execution
    • Lead the design, development, and implementation of complex data pipelines, ETL processes, and data lakes using Databricks and other services
    • Provide oversight and guidance to project teams ensuring high-quality delivery of data solutions, including scalability, performance, and security.
    • Partner with clients to understand their data needs, architect tailored solutions, and provide strategic guidance on leveraging Databricks to meet business objectives.
  • Client Engagement & Relationship Building
    • Act as the primary point of contact for Databricks expertise in discussions with key clients, offering thought leadership and driving long-term relationships.
    • Lead client discussions around technical architecture, project scope, and implementation plans.
    • Ensure client satisfaction through proactive communication, project transparency, and post-deployment support.
  • Technical Excellence & Innovation
    • Establish best practices for Databricks deployments, including performance tuning, cost optimisation, and security management.
    • Develop reusable frameworks, assets, and accelerators to improve delivery efficiency and consistency across projects.
    • Advocate for the adoption of advanced analytics, AI, and machine learning capabilities within Databricks to drive additional business value.

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