Lead Solutions Architect - Strategic Customers

Databricks

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.

Databricks

REQ ID: FEQ327R463  Recruiter: Dina Hussain Location: London, United Kingdom Industry Sector: Energy, Resources and Utilities sectors As a Manager, Field Engineering (Data and AI), you will lead a team of pre-sales Solutions Architects focusing on complex, strategic accounts, helping to lead our UK&I expansion with a specific focus on the Energy and Resources sector. Your experience partnering with sales organisations will help to drive accelerated adoption of the platform in customers, demonstrated by revenue growth, while coaching new sales and pre-sales team members to work together. You will guide your team and be involved with opportunities to enhance your team's effectiveness. You must be an expert at communicating complex, business value-focused solutions; supporting complex sales cycles; and building relationships with key stakeholders in large corporations.    You will report to the Senior Director, Field Engineering.   The impact you will have: * Manage hiring, onboarding and building your Pre-Sales Solutions Architect team * Where required, rapidly scale the designated team without sacrificing quality * Use AI natively yourself to drive efficiency and scale * Build a collaborative culture within a rapid-growth team. To embody and promote Databricks' customer-obsessed, teamwork and diverse culture * Support an increase in consumption revenue through the investment of Solutions Architect involvement in sales cycles * Promote a solution and value-based selling field-engineering organisation * Display an understanding of business needs and revenue potential for accounts in the assigned region * Build Databricks' brand in UK&I in partnership with the Marketing and Sales team * Lead from the front by engaging directly with key customer stakeholders to ensure and speed up customer projects and technical implementation decisions * Help Databricks continue to expand by winning hearts and minds as we evolve our processes to support our business and technical growth   What we look for: * AI native builder mentality - using AI to enhance your own productivity and that of your team is a non-negotiable * Experience in a pre-sales leader role - developing, managing and building a team of successful Big Data, AI, or Cloud professionals. * Experience in a customer-facing role across the Energy, Resources and Utilities  sectors in the UK and Ireland * Experience in developing go-to-market (GTM) strategies * Experience in complex strategic accounts  * Have experience scaling and mentoring field and technical teams * Knowledgeable in and passionate about data-driven decisions, AI, and Cloud software models * Great at instituting processes for technical field members to improve efficiency * Market experience of the UK&I region 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.

Databricks

REQ ID: FEQ127R254 Location: Hybrid – London As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data.    This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy.   The impact you will have: * Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration * Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer * Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. * Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. * Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. * Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. * Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. * Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.   What we look for: * Extensive experience in data engineering, data platforms & analytics, or software engineering * Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks * Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one * Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals * Familiarity with CI/CD for production deployments * Working knowledge of MLOps, ML/AI models and AI APIs * Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces. * Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. * Documentation and white-boarding skills. * Experience working with enterprise clients and managing conflicts across a broad stakeholder range * Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects. * Travel to customers 20% of the time * Databricks Certification preferred but not essential 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.