Solutions Architect

JOB ID: FEQ227R179 Location:  London, UK At Databricks, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create 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 an essential part of this mission, using your technical expertise to demonstrate how our Databricks Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that 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! Reporting to the Manager, Field Engineering. The impact you will have:  * Form successful relationships with clients throughout your assigned territory, providing technical and business value to Databricks customers in collaboration with Account Executives. * Operate as an expert in big data analytics to excite customers about Databricks. You will develop into a ‘champion’ and trusted advisor on architecture, design, and implementation to lead the successful adoption of the Databricks Data Intelligence Platform. * Author reference architectures, how-tos, and demo applications to scale best practices in your field and support customers. Lead workshops, seminars, and meet-ups to help build the Databricks community in your region and scale best practices in your field. * Act as a hands-on technical advisor, helping customers design, validate, and adopt modern data and AI architectures on the Databricks Data Intelligence Platform. * Grow your knowledge and expertise to the level of a technical and/or industry specialist. What we look for: * Experience in solutions architecture, technical consulting, or pre-sales, with a strong hands-on approach to solving customer problems. * Strong capability in at least one or two of the following areas: Data Engineering, Data Warehousing, AI/ML, GenAI, AI Agents, or application development, with interest in expanding into adjacent areas over time. * Exposure to domains such as CDP/Martech, customer data architectures, cybersecurity, or modern AI application patterns would be valuable, but is not required. * You will work with customers in the enterprise space, focusing on the Consumer Packaged Goods (CPG) industry, but you will also consider the Retail industry.  * Engage customers in technical sales, challenge their questions, guide clear outcomes, and communicate technical and value propositions. * Develop customer relationships and build internal partnerships with account executives and teams. * Prior experience with coding in a core programming language (i.e., Python, SQL) and willingness to learn a base level of Spark. * Hands-on experience with modern data and analytics technologies, including public cloud platforms and technical validation work such as prototypes or proofs of concept. * Experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences, requiring an ability to context switch in levels of technical depth. * Nice to have: Databricks Certification * The candidate must be able to commute to London offices regularly and travel approximately.  * 20-30% of the time across UK&I for customer visits About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. 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.

REQ ID: FEQ227R147 Location: London, UK Recruiter: Dina Hussain At Databricks, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data and AI accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. In the UK&I Digital Natives Hunting territory, we move at the speed of the most innovative companies in the world. We don't just sell software; we partner with technical founders, CTOs, and VPs of Engineering at high-growth startups to build the future of AI. You will be an essential part of this mission, using your executive-level technical credibility and "Hunter" mindset to win mindshare and acquire new logos. Join us in our quest to change how people work with data and make a better world! Reporting to Manager, Field Engineering THE IMPACT YOU WILL HAVE: * Executive Evangelism & Thought Leadership: Act as a Technical Advisor, building peer-to-peer relationships with CTOs, VPs of Engineering, and technical founders at high-growth DNBs. You will win technical mindshare in "first meetings" by articulating a vision for Data + AI that aligns with their rapid innovation cycles. * Drive New Logo Motion: Execute the high-velocity "Hunter DNA"—obsessing over Time to Value, qualifying out ruthlessly when necessary, and focusing energy on hard-to-win, prestigious accounts that establish Databricks as the standard for the UK startup ecosystem. * Ecosystem Building: Drive awareness within the UK startup and VC ecosystem. You will be the face of Databricks at relevant events, building strategic relationships with VCs, accelerators, and incubators to identify and influence the next generation of "unicorns." * Strategic Technical Discovery: Move beyond traditional "hands-on" SA work to focus on high-level architecture and strategic road-mapping. You will bridge complex business requirements with technical solutions, ensuring that the Databricks Intelligence platform is seen as a strategic enabler of a startup's core product. * Regional Mentorship: Be a role model and mentor for the wider Field Engineering team, specifically coaching Solutions Architects on how to engage effectively with CxOs and navigate the unique demands of the digital-native segment. * Technical Community Engagement: Develop high-impact, customer-facing collateral, and lead technical seminars or meet-ups that position Databricks as a thought leader in Generative AI, LLMs, and modern data stack architecture. WHAT WE LOOK FOR: * Startup Leadership & Scaling Experience: 10+ years of professional experience, including significant time spent as a tech co-founder, Head of Engineering, VP-level leader, or high-impact technical contributor within high-growth startups. We value the "in the trenches" experience of scaling a business and technical stack from the ground up. While you possess the credibility to engage with senior founders, you maintain a hands-on technical edge and aren't afraid to dive into the architecture. * Executive Presence: Proven ability to influence and win trust with senior technical stakeholders and C-level executives in innovative, fast-moving environments. * Technical Depth with an Evangelist Spike: Strong technical background (8+ years) in Operational Databases, Data Engineering, Data Science, or AI, but with a primary skillset focused on technical evangelism, storytelling, and high-level architectural vision rather than tactical delivery. * Operational Database and Real-Time Data Architecture: Experience with modern operational database architectures (OLTP) and building scalable, data-driven applications, including connecting transactional systems with analytical platforms to support real-time analytics, AI/agent workloads, and operational applications.  * Startup Ecosystem Knowledge: 5+ years of deep familiarity with the startup and VC landscape. You know who the key players are and how to navigate the network of investors, accelerators, and founders. * High Velocity Mindset: Experience working with early-stage, high-growth digital natives where speed, agility, and "Time to Value" are prioritized over traditional enterprise sales cycles. * Problem-Solving Agility: Ability to innovate technical solutions for specialized customer needs and navigate a competitive landscape where prospects may already be using "greenfield" or bleeding-edge tech stacks. * Communication Excellence: Exceptional ability to articulate complex technical concepts to both highly technical audiences and business decision-makers. * Nice to have: * Familiarity with PostgreSQL-compatible systems and architectures enabling low-latency feature and application data serving. * Experience migrating or modernising operational databases (e.g. Aurora/ RDS/ PostgreSQL) toward Lakehouse integrated architectures. * Deep expertise in articulating the strategic and commercial value of Generative AI, including Large Language Models (LLMs), RAG architectures, and the shift toward Compound AI Systems. * Familiarity with the latest advancements in Agentic Workflows, model fine-tuning (Mosaic AI), and efficient inference at scale. * Established presence in the technical community (e.g., high-impact blog, regular public speaking at major conferences like Data+AI Summit, AWS re:Invent, or significant open-source contributions). About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. 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.