Databricks Logo

Databricks

Pre-sales Senior Technical Solutions Engineer (Data and AI) x4

Posted 6 Days Ago
Be an Early Applicant
In-Office
London, Greater London, England
Senior level
In-Office
London, Greater London, England
Senior level
Customer-facing senior pre-sales engineer who demos Databricks solutions, builds hands-on Spark PoCs, integrates cloud and third-party tools, authors reference architectures and demos, runs workshops, and partners with account teams to drive technical value. Requires travel to UK customer sites (~20-30%).
The summary above was generated by AI

Req ID - FEQ227R148 x 4 new roles

Location: London

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 guide us to build 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!

You will be reporting to the Manager, Field Engineering.

The impact you will have: 

  • Form successful relationships with clients throughout your assigned territory to provide technical and business value in collaboration with an Account Executive and a Senior Solutions Architect.
  • Gain excitement from clients about Databricks through hands-on evaluation and Spark programming, integrating with the wider cloud ecosystem and 3rd party applications.
  • Contribute to building the Databricks technical community through engagement at workshops, seminars, and meet-ups.
  • Become a Big Data Analytics advisor on aspects of architecture and design.
  • Support your customers by authoring reference architectures, how-tos, and demo applications.
  • Develop both technically and in pre-sales, with the goal of becoming an independently operating Solutions Architect.

What we look for:

  • Experience, technical customer-facing and with a background in Data Science / Generative AI / Machine Learning / Data Warehousing or Data Engineering.  
  • You will be working in the following any of the following vertical sectors: 
    • Real-money Gaming, Sports, Entertainment, Media, Telco and/or Hospitality.
    • Manufacturing, Energy, Utilities and Industrials
    • Travel, Transport and Logistics
    • Financial Services and Insurance
    • Public Sector
    • Consumer Package Goods (CPG) / Retail
  • Any experience in Pre-sales or post-sales experience working with external clients
  • Familiarity with working with clients, creating a narrative, answering customer questions, aligning the agenda with important interests, and achieving tangible outcomes.
  • Ability to independently deliver a technical proposition, identify customers' pain points and explain important areas for business value to develop a trusted advisor skillset.
  • Code in a core programming language such as Python, Java, or Scala.
  • Knowledgeable in a core Big Data Analytics domain with some exposure to advanced proofs-of-concept and an understanding of a major public cloud platform (AWS, GCP, Azure).
  • Experience diving deeper into solution architecture and design.
  • The role requires travel to customer sites in the UK. Travelling approx. 20-30% of the time
  • Nice to have: Databricks Certification

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 New York, New York, USA Office

1460 Broadway New York, New York, NY, United States, 10036

Similar Jobs

16 Hours Ago
Hybrid
Entry level
Entry level
Aerospace • Information Technology • Software • Cybersecurity • Design • Defense • Manufacturing
Design and integrate aircraft cabin interior modifications using CAD (layouts, galleys, lavatories, PSUs, crew rest), produce compliance substantiation (flammability, design reports, safety analysis), create service/airworthiness documentation, support surveys and on-site installations, liaise with customers/vendors/regulators, and support bids and STC projects.
Top Skills: 3DxAutocadCadCatia V5
21 Hours Ago
Hybrid
Junior
Junior
AdTech • Cloud • Digital Media • Information Technology • News + Entertainment • App development
Maintain and produce floor plans in AutoCAD, support test fits and space moves, analyse occupancy/utilisation, assist with CAFM/Power BI reporting, coordinate contractors and suppliers, provide administrative and presentation support to the Workplace Planning team.
Top Skills: Autocad 2020CafmExcelOffice 365Power BI
21 Hours Ago
Remote or Hybrid
Mid level
Mid level
AdTech • Cloud • Digital Media • Information Technology • News + Entertainment • App development
Provide design, implementation, and full-stack lifecycle support for digital asset delivery systems; tune and optimize application performance; troubleshoot incidents and lead root-cause analysis; collaborate with DevOps to build monitoring and automation; write scripts and code to automate operations and participate in 24x7 on-call rotation.
Top Skills: AiopsAnsibleAsperaAWSAzureChefDnsF5 LtmFirewallsGitGitGCPIpv4Ipv6JenkinsJIRALinuxNode.jsPerlPuppetPythonServicenow AgileSigniantSslTcp/IpTerraformUdp

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account