Senior Solutions Architect (Large Retail Account)

Senior Solutions Architect (Large Retail Account)

Full-Time 63000 - 77000 £ / year (est.) Home office (partial)
Databricks Inc.

At a Glance

  • Tasks: Engage with major clients, defining technical strategies and supporting their data challenges.
  • Company: Join Databricks, a leading data and AI company transforming how businesses work with data.
  • Benefits: Enjoy competitive pay, remote work options, and a commitment to diversity and inclusion.
  • Other info: Opportunities for career growth and development in a dynamic, collaborative environment.
  • Why this job: Be a key player in shaping innovative data solutions for top-tier clients.
  • Qualifications: Experience in data science and strong customer-facing skills are essential.

The predicted salary is between 63000 - 77000 £ per year.

At Databricks, our core values are at the heart of everything we do. A culture of proactiveness and a customer-centric mindset guides us in creating a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement.

You will be a vital part of this mission, utilising your technical expertise to demonstrate how our Lakehouse Platform can help customers address their complex data challenges. You'll work with a collaborative, customer-focused team who values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward.

Join us in our quest to change how people work with data and make a better world!

The impact you will have:

  • Engage with some of Databricks’s largest and most complex customers across the UK & Ireland, defining their technical strategies and supporting them in adopting Databricks to achieve their business objectives.
  • Collaborate with Databricks leadership, account teams and field engineers to define and execute customer engagement strategies.
  • Demonstrate our Builder Culture to the highest standards, putting our principle of “show, not tell” into practice, supported by the full breadth of the latest in AI tooling and processes, to inspire customers and Bricksters on the art of the possible.
  • Coach junior Solutions Architects and teams on use case prioritisation and building technical champions.
  • Influence stakeholders at all organisational levels through complex engagements with the broader cloud ecosystem and third-party applications, ensuring they are excited by the Databricks vision and solution strategy.
  • Be a 'champion’ for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Lakehouse platform.
  • Contribute to Databricks' technical community engagement by developing customer-facing collateral and leading workshops, seminars, and meet-ups.
  • Opportunity to continue your development in one of four tracks - technical specialisation, industry vertical thought leadership, strategic customer vision, and people management.

What we look for:

We are seeking a highly motivated and technically skilled individual to join our UK&I Enterprise Solutions Architecture team, which focuses on engaging with our largest and most complex customers, supporting them in executing strategic business change. This role offers the opportunity to be based in the London Office, with regular collaboration across the UK&I region and close alignment with our London-based team.

Core Technical Qualifications:

  • Hands-on experience in technical pre-sales or consultancy, with a strong background in Data Science - traditional Machine Learning, Deep Learning, Artificial Intelligence or Generative AI.
  • Demonstrated ability to architect end-to-end Data & AI solutions, with specific expertise in modern Generative AI concepts (e.g., fine-tuning, RAG, MLOps for LLMs), using either open source and/or ISV tools such as Dataiku, Domino, DataRobot etc.
  • Hands-on experience and enthusiasm for building with AI-based development tooling such as Genie Code, Claude Code, Cursor etc.
  • Strong proficiency in a core programming language (e.g., Python, SQL) and a willingness to learn (or existing knowledge of) Spark.
  • Proficiency with big data analytics technologies and public cloud platforms (AWS, Azure, or GCP).
  • Hands-on expertise in designing and delivering complex proofs-of-concept (PoCs).

Pre-Sales & Customer-Facing Skills:

  • Proven ability to engage with customers in a technical sales capacity: challenging assumptions, guiding discussions to clear outcomes, and communicating both technical and business value propositions.
  • Experience in the full pre-sales lifecycle, including use case discovery, solution scoping, and delivering complex solution architecture designs to diverse audiences (from engineers to executives).
  • A customer-centric mindset with a passion for building client relationships and internal partnerships with account teams.

Seniority & Leadership:

  • Demonstrated experience in coaching and mentoring junior team members to help them develop their technical and customer-facing skills.

Logistics:

  • Ability to commute to the London office regularly.
  • Willingness and ability to travel approximately 20-30% of the time across UK&I and EMEA for customer visits.

Nice to Have:

  • Databricks or other relevant Cloud/Data certifications.

About Databricks:

Databricks is the data and AI company. More than 10,000 organizations worldwide rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI.

Benefits:

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.

Our Commitment to Diversity and Inclusion:

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel.

Senior Solutions Architect (Large Retail Account) employer: Databricks Inc.

At Databricks, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of London. Our commitment to employee growth is evident through comprehensive benefits, inclusive practices, and opportunities to engage with cutting-edge technology while working closely with industry-leading clients. Join us to make a meaningful impact in the data and AI landscape, where your contributions will be valued and recognised.

Databricks Inc.

Contact Details:

Databricks Inc. Recruitment Team

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We think this is how you could land Senior Solutions Architect (Large Retail Account)

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We think you need these skills to ace Senior Solutions Architect (Large Retail Account)

Technical Pre-Sales Experience
Data Science Expertise
Machine Learning
Deep Learning
Artificial Intelligence
Generative AI
MLOps for LLMs

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Databricks Inc..

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Databricks Inc. and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at Databricks Inc.

Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Databricks Inc. uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.