Forward Deployed Engineer - Emerging Enterprise & DNB

Forward Deployed Engineer - Emerging Enterprise & DNB

Full-Time 70000 - 90000 £ / year (est.) No working from home possible
Databricks Inc.

At a Glance

  • Tasks: Lead impactful customer technical projects and implement end-to-end systems using the Databricks platform.
  • Company: Databricks focuses on data and AI solutions for Emerging Enterprises and Digital Natives in EMEA.
  • Benefits: Comprehensive benefits and perks tailored to meet employee needs, with a commitment to diversity and inclusion.
  • Other info: Travel to customers is expected 20% of the time.
  • Why this job: This role offers hands-on experience at the intersection of technology and business impact.
  • Qualifications: Extensive experience in data engineering and knowledge of cloud ecosystems like AWS or Azure required.

The predicted salary is between 70000 - 90000 £ per year.

As a Forward Deployed Engineer (FDE) for the Emerging Enterprise & Digital Natives business in EMEA, 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.

Responsibilities

  • 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.

Qualifications

  • Extensive experience in data engineering, data platforms & analytics, or software engineering.
  • 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 Emerging Enterprise & Digital Natives businesses, 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.

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

We are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure our hiring practices are inclusive and meet equal employment opportunity standards.

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.

Forward Deployed Engineer - Emerging Enterprise & DNB employer: Databricks Inc.

Databricks is located in London, UK, and provides a diverse and inclusive culture. Employees benefit from comprehensive perks and are encouraged to explore new technologies while working on impactful data projects.

Databricks Inc.

Contact Details:

Databricks Inc. Recruitment Team

We think you need these skills to ace Forward Deployed Engineer - Emerging Enterprise & DNB

SQL
Problem-Solving Skills
Communication Skills
Python
Data Pipeline Development
Data Engineering
API Integration