Senior Solutions Architect (DS/ML/GenAI/LLM)

Навыки

• AI-инструменты в работе
• Проектирование архитектуры
• AWS
• Azure
• Big Data
• Клиентоориентированность
• Data Lake

О компании и продукте

• Databricks is the Data and AI company. More than 20,000 organizations 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. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram .

Задачи

• Develop customer engagement strategies in partnership with Account Executive(s) in your designated territory
• Coach junior Solutions Architects and teams on use case prioritisation and building technical champions
• You will influence stakeholders at all levels through complex engagements with the broader cloud ecosystem and third-party applications, ensuring they are excited by the Databricks vision and solution strategy
• Be a 'champion’ for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Lakehouse platform
• Contribute to Databricks' technical community engagement by developing customer-facing collateral and leading workshops, seminars, and meet-ups
• Opportunity to continue your development in one of four tracks - technical specialisation, industry vertical thought leadership, strategic customer vision, and people management
• JOB ID: FEQ227R117
• Industry: Professional Business Services (Consultancy, Legal, etc)
• At Databricks, our core values are at the heart of everything we do
• A culture of proactiveness and a customer-centric mindset guides us in creating 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 a vital part of this mission, utilising your technical expertise to demonstrate how our Lakehouse Platform can help customers address their complex data challenges
• You'll work with a collaborative, customer-focused team who 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

Требования

• We are seeking a highly motivated and technically skilled individual to join our UK&I Enterprise Professional Business Team, which focuses on supporting and growing customers in the UK&I
• This role offers the opportunity to be based in the London Office, with regular collaboration across the UK&I region and close alignment with our London-based team
• Core Technical
• Hands-on experience in technical pre-sales or consultancy, with a strong background in Data Science - traditional Machine Learning, Deep Learning, Artificial Intelligence or Generative AI
• Demonstrated ability to architect end-to-end Data & AI solutions, with specific expertise in modern Generative AI concepts (e.g., fine-tuning, RAG, MLOps for LLMs), using either open source and/or ISV tools such as Dataiku, Domino, DataRobot etc
• Strong proficiency in a core programming language (e.g., Python, SQL) and a willingness to learn (or existing knowledge of) Spark
• Proficiency with big data analytics technologies and public cloud platforms (AWS, Azure, or GCP)
• Hands-on expertise in designing and delivering complex proofs-of-concept (PoCs)
• Pre-Sales & Customer-Facing Skills
• Proven ability to engage with customers in a technical sales capacity: challenging assumptions, guiding discussions to clear outcomes, and communicating both technical and business value propositions
• Experience in the full pre-sales lifecycle, including use case discovery, solution scoping, and delivering complex solution architecture designs to diverse audiences (from engineers to executives)
• A customer-centric mindset with a passion for building client relationships and internal partnerships with account teams
• Seniority & Leadership
• Demonstrated experience in coaching and mentoring junior team members to help them develop their technical and customer-facing skills
• Logistics
• Ability to commute to the London office regularly
• Willingness and ability to travel approximately 20-30% of the time across UK&I and EMEA for customer visits

Будет плюсом

• Databricks or other relevant Cloud/Data certifications

Условия

• At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees
• Location: London, United Kingdom

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