Databricks Tech Lead

Farringdon
2 months ago
Applications closed

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Job Title: Data Engineering Tech Lead
Location: London (Hybrid – ~3 days/week onsite)
Contract Type: Permanent
Reporting to: Delivery Lead / Head of Data Engineering
Salary: £110,000 – £120,000 base, plus up to 20% bonus based on performance and commercial contribution

About the Role

We’re looking for a Data Engineering Tech Lead to spearhead some of our most strategic Databricks engagements. This is a senior client-facing leadership role, blending hands-on technical delivery with architectural design and pre-sales influence.

You'll be leading high-performing squads, guiding complex transformations, and working directly with senior stakeholders to bridge business needs and engineering excellence — particularly in industries like manufacturing, utilities, and aviation.

This is a key hire to support our expanding Databricks practice, both to backfill experienced leavers and to build capacity for future growth.

What You’ll Be Doing

  • Act as the technical lead on client engagements, owning design and delivery of data solutions in Databricks.

  • Architect robust, scalable data platforms using the medallion architecture.

  • Translate business requirements into scalable workflows, advising on data governance, quality, and security.

  • Design and implement complex data pipelines using tools like Delta Live Tables (DLT) and Unity Catalog.

  • Guide teams in implementing best practices across engineering, DevOps, and model deployment.

  • Support pre-sales activity, including shaping proposals, estimates, and technical roadmaps.

  • Provide technical leadership, mentorship, and oversight to squads of Senior and Associate Engineers.

  • Collaborate closely with Platform Engineers and Platform Architects to align infrastructure with data needs.

  • Contribute to growing the Databricks capability – from delivery frameworks to internal tooling and capability development.

  • Lead a team of data engineers, fostering a collaborative and growth-oriented environment.

  • Evaluate new data engineering technologies and strategies, assessing their relevance and fit for the organisation’s strategic goals.

  • Work closely with the commercial team to scope projects and develop proposals that align technical capabilities with client requirements.

    What We’re Looking For

    Essential Skills & Experience

  • 8+ years in data engineering, with at least 2+ in a technical leadership role

  • Proven experience designing and leading Databricks-based data platforms

  • Deep understanding of the medallion architecture, data lakehouse design, and transformation workflows

  • Hands-on expertise with DLT, Unity Catalog, and model deployment frameworks

  • Strong communication and consulting skills – able to lead client conversations and manage stakeholders

  • Experience in agile delivery environments and cross-functional teams

  • Commercial awareness – comfortable contributing to pre-sales, growing accounts, and engaging with commercial targets

    Desirable Skills

  • Experience in physical asset-heavy industries (e.g. utilities, manufacturing, aviation)

  • Familiarity with platform and DevOps collaboration, especially on AWS or Azure

  • Certifications in Databricks or cloud platforms (AWS/Azure)

  • Background in consulting or client delivery environments

    Why Join Us?

  • Join a consultancy that’s doubling down on Databricks with enterprise-grade delivery

  • Be the go-to technical leader on projects with real-world business impact

  • Shape the future of our Databricks workforce strategy and delivery model

  • Career progression into Delivery Lead, Practice Lead, or Pre-Sales Specialist

  • Competitive compensation and strong bonus structure, aligned with delivery and commercial impact

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