Role at a glance
- Salary
- Not Disclosed
- Location
- United Kingdom - London
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- Experience in solutions architecture, technical consulting, or pre-sales
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Role Summary
The Field Engineering role, reporting to the Manager, Field Engineering, helps customers across an assigned territory adopt the Databricks Data Intelligence Platform. The role combines customer engagement, technical advisory work, and solution development to support modern data and AI architectures and scale best practices in the region.
What You'll Do
- Form successful relationships with clients throughout the assigned territory in collaboration with Account Executives.
- Advise customers on architecture, design, and implementation of the Databricks Data Intelligence Platform.
- Author reference architectures, how-tos, and demo applications.
- Lead workshops, seminars, and meet-ups to build the Databricks community and scale best practices.
- Help customers design, validate, and adopt modern data and AI architectures.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Experience in solutions architecture, technical consulting, or pre-sales; strong capability in Data Engineering, Data Warehousing, AI/ML, GenAI, AI Agents, or application development; coding experience in Python or SQL and willingness to learn Spark; hands-on experience with modern data and analytics technologies, including public cloud platforms; experience in use case discovery, scoping, and complex solution architecture designs; ability to engage customers in technical sales and communicate technical and value propositions.
Required
- Experience in solutions architecture, technical consulting, or pre-sales
- Strong capability in at least one or two of: Data Engineering, Data Warehousing, AI/ML, GenAI, AI Agents, or application development
- 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...
- Experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences
- Engage customers in technical sales, challenge their questions, guide clear outcomes, and communicate technical and value propositions
Preferred
- Exposure to domains such as CDP/Martech, customer data architectures, cybersecurity, or modern AI application patterns
- Databricks Certification
Original job description
Content provided by the employer
Original job description
Content provided by the employer
FEQ327R325
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.
- 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 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.