At a Glance
- Tasks: Build relationships with clients and provide technical solutions in Data and AI.
- Company: Join Databricks, a leader in Big Data Analytics with a focus on innovation.
- Benefits: Competitive salary, diverse culture, and opportunities for professional growth.
- Other info: Travel opportunities and a commitment to diversity and inclusion.
- Why this job: Make an impact in the tech world while working with cutting-edge data technologies.
- Qualifications: Experience in Data Science, Machine Learning, and client-facing roles required.
The predicted salary is between 60000 - 80000 £ per year.
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 any of the following vertical sectors: Real‑money Gaming, Sports, Entertainment, Media, Telco and/or Hospitality, Manufacturing, Energy 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.
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.
Pre-sales Senior Technical Solutions Engineer (Data and AI) x2 employer: WinsAbove
At Databricks, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of London. Our commitment to employee growth is evident through opportunities for professional development, including hands-on experience with cutting-edge technologies in Data and AI, and the chance to engage with a vibrant technical community. With a focus on diversity and inclusion, we ensure that every team member can thrive and contribute meaningfully to our mission.
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