Data Platform Solution Architect (Databricks)
Data Platform Solution Architect (Databricks)

Data Platform Solution Architect (Databricks)

Full-Time 48000 - 72000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Design and deliver innovative Data & AI platform solutions using Databricks.
  • Company: Join a growing Data & AI practice in a hybrid London role.
  • Benefits: Competitive salary, flexible working, and opportunities for professional growth.
  • Why this job: Shape impactful data solutions and collaborate with industry leaders.
  • Qualifications: Experience as a Solution Architect with strong Databricks knowledge.
  • Other info: Mentorship opportunities and a dynamic work environment await you.

The predicted salary is between 48000 - 72000 £ per year.

An exciting opportunity has arisen for an experienced Data Platform / Databricks Solution Architect to join a growing Data & AI practice working with enterprise clients on large-scale, high-impact transformation programmes. This role sits at the intersection of architecture, consulting, and pre-sales, shaping modern data and AI solutions that deliver tangible business outcomes. You’ll work closely with senior stakeholders, delivery teams, and sales leadership to design, propose, and deliver cutting-edge data platform solutions.

What You’ll Be Doing

  • Designing end-to-end Data & AI platform architectures, with a strong focus on Databricks lakehouse solutions
  • Acting as a trusted advisor to clients, translating business challenges into scalable, secure technical solutions
  • Leading solution design for complex engagements, including estimates, roadmaps, and architectural artefacts
  • Supporting pre-sales and deal shaping, including client workshops, proposals, and presentations
  • Providing architectural oversight on high-risk or strategic delivery programmes
  • Mentoring and coaching architects and engineers across the wider Data & AI community
  • Collaborating with leadership to shape future offerings, accelerators, and IP across Data & AI

What We’re Looking For

  • Strong experience as a Solution Architect or Data Architect within large-scale data programmes
  • Deep hands-on knowledge of Databricks and modern data platform architectures
  • Experience across cloud-based data ecosystems (Azure preferred, but AWS/GCP also relevant)
  • Solid understanding of modern Data & AI concepts including:
  • Structured and unstructured data
  • Streaming and real-time analytics
  • AI / GenAI and advanced analytics use cases
  • Proven ability to engage senior stakeholders, including C-suite and technology leaders
  • Comfortable operating in both client delivery and pre-sales environments
  • Databricks certifications (or equivalent practical experience)
  • Data Platform Solution Architect (Databricks) employer: Anson McCade

    Join a forward-thinking company that values innovation and collaboration, where as a Data Platform Solution Architect, you'll be at the forefront of shaping transformative data solutions for enterprise clients in London. With a hybrid work model, you’ll enjoy a supportive culture that prioritises professional growth through mentorship and hands-on experience, while also benefiting from engaging with senior stakeholders on high-impact projects. This is an excellent opportunity to thrive in a dynamic environment that encourages creativity and offers a pathway to advance your career in the rapidly evolving field of Data & AI.
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    Contact Detail:

    Anson McCade Recruiting Team

    StudySmarter Expert Advice 🤫

    We think this is how you could land Data Platform Solution Architect (Databricks)

    ✨Tip Number 1

    Network like a pro! Reach out to your connections in the industry, especially those who work with Databricks or in data architecture. A friendly chat can lead to insider info about job openings that aren't even advertised yet.

    ✨Tip Number 2

    Show off your skills! Create a portfolio showcasing your past projects and solutions you've designed. This is your chance to demonstrate your hands-on knowledge of Databricks and modern data platforms in a way that a CV just can't.

    ✨Tip Number 3

    Prepare for interviews by diving deep into the company’s recent projects and challenges. Tailor your responses to show how your experience aligns with their needs, especially in areas like cloud ecosystems and AI solutions.

    ✨Tip Number 4

    Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!

    We think you need these skills to ace Data Platform Solution Architect (Databricks)

    Data Platform Architecture
    Databricks
    Cloud-based Data Ecosystems
    Azure
    AWS
    GCP
    Structured and Unstructured Data
    Streaming and Real-time Analytics
    AI / GenAI
    Advanced Analytics
    Stakeholder Engagement
    Pre-sales Support
    Solution Design
    Mentoring and Coaching
    Architectural Oversight

    Some tips for your application 🫡

    Tailor Your CV: Make sure your CV speaks directly to the role of Data Platform Solution Architect. Highlight your experience with Databricks and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!

    Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data platforms and how you can contribute to our team. Be sure to mention specific experiences that relate to the job description.

    Showcase Your Technical Skills: Don’t hold back on showcasing your technical expertise, especially with Databricks and cloud ecosystems. We love seeing hands-on experience, so include any relevant certifications or projects that demonstrate your capabilities.

    Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!

    How to prepare for a job interview at Anson McCade

    ✨Know Your Databricks Inside Out

    Make sure you brush up on your Databricks knowledge before the interview. Be ready to discuss specific use cases and how you've implemented Databricks solutions in past projects. This will show that you’re not just familiar with the platform, but that you can leverage it effectively in real-world scenarios.

    ✨Prepare for Stakeholder Engagement

    Since this role involves engaging with senior stakeholders, practice articulating complex technical concepts in a way that’s easy for non-technical audiences to understand. Think about examples where you’ve successfully communicated with C-suite executives or led client workshops, and be ready to share those stories.

    ✨Showcase Your Architectural Skills

    Be prepared to discuss your experience designing end-to-end data architectures. Bring examples of architectural artefacts you’ve created, and be ready to explain your thought process behind them. This will demonstrate your ability to lead solution design for complex engagements.

    ✨Highlight Your Mentoring Experience

    This role involves mentoring and coaching others, so think about times when you’ve supported colleagues or teams in their development. Share specific instances where your guidance made a difference, as this will illustrate your leadership capabilities and commitment to the wider Data & AI community.

    Data Platform Solution Architect (Databricks)
    Anson McCade

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