Role at a glance
- Salary
- Not Disclosed
- Location
- Remote - United Kingdom United Kingdom - London
- Work arrangement
- Remote
- Employment
- Full-time
- Experience
- Hands-on experience in technical pre-sales or consultancy
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Role Summary
This role is part of Databricks’ UK&I Enterprise Solutions Architecture team and supports large, complex customers across the region in adopting the Databricks Lakehouse Platform. Reporting to the Manager, Field Engineering, the role helps shape technical strategies, customer engagements, and data and AI solution adoption.
What You'll Do
- Engage with large and complex UK&I customers to define technical strategies and support Databricks adoption.
- Collaborate with Databricks leadership, account teams, and field engineers on customer engagement strategies.
- Demonstrate Databricks solutions through customer-focused demonstrations and technical engagements.
- Coach junior Solutions Architects and teams on use-case prioritisation and building technical champions.
- Influence stakeholders across organisational levels and guide data analytics architecture, design, and platform adoption.
- Develop customer-facing collateral and lead workshops, seminars, and meet-ups.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Technical pre-sales or consultancy experience; background in Data Science, Machine Learning, Deep Learning, Artificial Intelligence, or Generative AI; ability to architect end-to-end Data & AI solutions, including fine-tuning, RAG, and MLOps for LLMs; experience with AI-based development tooling; proficiency in Python or SQL and willingness to learn or knowledge of Spark; proficiency with big data analytics technologies and AWS, Azure, or GCP; experience designing and delivering complex PoCs; full pre-sales lifecycle experience; customer-facing technical sales experience; coaching and mentoring junior team members; ability to commute to the London office regularly; willingness to travel approximately 20-30% across UK&I and EMEA.
Required
- Technical pre-sales or consultancy experience
- Data Science, Machine Learning, Deep Learning, Artificial Intelligence, or Generative AI experience
- End-to-end Data & AI solution architecture
- Generative AI concepts including fine-tuning, RAG, and MLOps for LLMs
- AI-based development tooling such as Genie Code, Claude Code, or Cursor
- Python or SQL proficiency
- Spark knowledge or willingness to learn
- Big data analytics technologies and AWS, Azure, or GCP
Preferred
- Databricks or other relevant Cloud/Data certifications
Original job description
Content provided by the employer
Original job description
Content provided by the employer
JOB ID: FEQ427R333
Location: Remote, United Kingdom - The candidates can be based near Manchester or Leeds area
Industry: Retail/CPG (UKI Enterprise)
Recruiter: Dina Hussain
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.
The impact you will have:
- Engage with some of Databricks’s largest and most complex customers across the UK & Ireland, defining their technical strategies and supporting them in adopting Databricks to achieve their business objectives.
- Collaborate with Databricks leadership, account teams and field engineers to define and execute customer engagement strategies.
- Demonstrate our Builder Culture to the highest standards, putting our principle of “show, not tell” into practice, supported by the full breadth of the latest in AI tooling and processes, to inspire customers and Bricksters on the art of the possible.
- Coach junior Solutions Architects and teams on use case prioritisation and building technical champions.
- You will influence stakeholders at all organisational 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.
What we look for:
We are seeking a highly motivated and technically skilled individual to join our UK&I Enterprise Solutions Architecture team, which focuses on engaging with our largest and most complex customers, supporting them in executing strategic business change. 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 Qualifications:
- 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.
- Hands-on experience and enthusiasm for building with AI-based development tooling such as Genie Code, Claude Code, Cursor 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.
Nice to Have:
- Databricks or other relevant Cloud/Data certifications.
About Databricks
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.
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.
About the company
Databricks
Large Enterprise
Databricks is a cloud-based data platform that specializes in providing solutions for data engineering, machine learning, and analytics. Founded in 2013 by the original creators of Apache Spark, the company enables organizations to unify data processing and analysis workflows, facilitating collaboration for data professionals. Databricks offers an integrated environment for data scientists, engineers, and business analysts, streamlining the process of building and deploying AI and data-driven applications. With a strong emphasis on simplifying big data management, Databricks helps businesses harness the power of their data to drive innovation and insights.
Databricks is a cloud-based data platform that specializes in providing solutions for data engineering, machine learning, and analytics. Founded in 2013 by the original creators of Apache Spark, the company enables organizations to unify data processing and analysis workflows, facilitating collaboration for data professionals. Databricks offers an integrated environment for data scientists, engineers, and business analysts, streamlining the process of building and deploying AI and data-driven applications. With a strong emphasis on simplifying big data management, Databricks helps businesses harness the power of their data to drive innovation and insights.