At a Glance
- Tasks: Lead strategic tech transformations with top enterprise clients using Data & AI.
- Company: Join Databricks, a rapidly growing leader in Data & AI solutions.
- Benefits: Enjoy flexible scheduling, comprehensive benefits, and a commitment to diversity.
- Other info: Opportunity for travel and mentorship in a dynamic, collaborative environment.
- Why this job: Shape the future of data strategies and inspire industry leaders.
- Qualifications: Experience in enterprise architecture and deep knowledge of Data & AI technologies.
The predicted salary is between 70000 - 90000 £ per year.
Location: London
Industry Sector: All verticals - Strategic Customers
Req ID: FEQ126R19
The Opportunity: 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.
You will demonstrate our builder culture to the highest standards. 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.
- High Velocity & Growth: 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.
- Ecosystem Integration: 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.
What We Are Looking For
- Enterprise Architecture: 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.
- Market Familiarity: Understanding and experience of key Data & AI technology market players, including the major hyperscalers (AWS, Azure, GCP) and key ISVs.
- Builder Mentality: A bias towards “showing” rather than “telling”, preferring to inspire stakeholders through built examples.
- 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. 20‑30%). We support flexible scheduling to help manage this travel alongside your personal life.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all employees.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. 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.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Lead Solutions Architect - Strategic Customers employer: Databricks
At Databricks, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As a Lead Solutions Architect in London, you will have the opportunity to shape the future of Data & AI while working with some of the UK's most prestigious enterprises, all within a supportive environment that prioritises employee growth and diversity. With a commitment to flexible scheduling and a builder mentality, we empower our team members to take ownership of their projects and drive meaningful change.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Solutions Architect - Strategic Customers
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We think you need these skills to ace Lead Solutions Architect - Strategic Customers
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Databricks. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Databricks
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
