Databricks는 영국 디지털 네이티브 기업을 대상으로 기술적 리더십을 발휘할 Lead Solutions Architect를 찾습니다. 10년 이상의 스타트업 리더십 경험과 데이터/AI 기술에 대한 깊은 이해가 필수입니다. CTO 및 기술 창업자와의 파트너십을 통해 비즈니스 성장을 견인하고, 고성장 스타트업 생태계 내에서 Databricks의 입지를 강화하는 핵심 역할을 수행하게 됩니다.
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!
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).
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.
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.
