At a Glance
- Tasks: Lead strategic tech transformations for major enterprise clients using Data & AI.
- Company: Join Databricks, a leader in Data and AI innovation.
- Benefits: Flexible scheduling, competitive salary, and opportunities for professional growth.
- Other info: Dynamic role with travel opportunities and a commitment to diversity.
- Why this job: Shape the future of data strategies and influence top-tier organisations.
- Qualifications: Expertise in Data & AI technologies and strong leadership skills.
Shaping The Future of Data & AI With Our Largest Customers. Data & AI are the engine driving transformation across our customer base. We are seeking a strategic technical leader to collaborate with our most significant, complex enterprise customers to accelerate that transformation across the UK & Ireland.
As a Lead Solutions Architect in the UKI Field Engineering practice, you will be an expert in driving organisational transformation through technology, data and AI. You will work with Databricks UKI leadership to identify and engage a select group of customers at the executive level to advise on and drive Databricks adoption to achieve their business objectives.
At Databricks, we believe in “show, not tell”, and you will leverage the latest in Data & AI technologies to inspire customer CTOs, VPs and senior leaders to think bigger and go further in democratising Data & AI across their organisations. You will act as a peer leader for the Databricks UKI technical communities, demonstrating thought leadership, working to establish and maintain best practices and collaborating across our leadership teams to drive collective success and develop the next generation of solutions architecture talent.
Why You’ll Love This Role
- Strategic Influence: You will move beyond pure technology to shape long-term data strategies for complex, enterprise-scale organisations operating at the cutting edge of Data & AI.
- Independent Ownership & Execution: As a Lead Solutions Architect, you will be encouraged to define your own approach to hitting our organisational goals, supported by our UKI leadership teams and extensive support functions.
Databricks grew by over 65% across the last financial year and we have no intention of slowing down. Our product portfolio continues to expand and innovate, enabling you to bring a high-velocity reality to some of the UK & Ireland’s most recognisable brands and to evolve your own skills along the way.
How You Will Make an Impact
- Trusted Advisory: You will build authentic partnerships with stakeholders—from developers to C-suite executives—helping them understand the vision of the Databricks Data Intelligence Platform.
- Strategic Planning: Partner closely with Account Executives & UKI Leadership to design engagement strategies that address the specific needs of our largest customers.
- Team Coaching: Act as a mentor for the wider practice, guiding them on how to approach complex customer scenarios and engage at an executive level with credibility.
- Solution complex engagements: Involving the broader cloud ecosystem (AWS, Azure, GCP) and third-party tools to ensure a seamless experience for the customer.
- Thought Leadership: Elevate your profile by leading executive engagement, creating customer-facing content, and speaking at industry events.
- Experience: Influencing technology change at a global-scale enterprise level, with a particular focus on Data & AI strategy and implementation.
- Commercial Awareness: Deep appreciation of customer and vendor commercial motivations and sales cycles.
- Understanding: Experience of key Data & AI technology market players, including the major hyperscalers (AWS, Azure, GCP) and key ISVs.
- Technical Expertise: Deep experience in core data & AI technologies, including languages (Python, SQL), frameworks (Apache Spark) and platforms (Databricks, etc.)
- Collaboration: You can orchestrate diverse teams to achieve a common goal and explain complex tech to non-technical leaders.
- Travel: This role requires travel to customer sites in the UK and London offices (approx.). We support flexible scheduling to help manage this travel alongside your personal life.
About Databricks
Databricks is the Data and AI company. More than 20,000 organisations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.
Lead Solution Architect (AWS) in London employer: Databricks
Databricks is an exceptional employer that fosters a dynamic and innovative work culture in the heart of London. With a strong emphasis on employee growth, you will have access to continuous learning opportunities and the chance to mentor others, all while working with cutting-edge data analytics solutions. The collaborative environment encourages creativity and teamwork, making it a rewarding place for those passionate about technology and client engagement.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Solution Architect (AWS) in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Databricks or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Databricks.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Databricks.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Databricks that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
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.
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 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
✨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 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.
