Databricks3 days ago

Sr. Solutions Engineer

Salary not specified

MARKET

15,349 ₽median for this role

Solution Architect · 48 jobs with disclosed pay

5,600half of the offers: 14,999–18,25823,987

The employer didn't disclose pay — compare with the market yourself.

London

Responsibilities

01Partner with an Account Executive and a Senior Solutions Architect to win new digital-native logos across your UK & Ireland territory, and own the technical win
02Run hands-on evaluations and proofs-of-concept that get founders, CTOs, and lead engineers excited
03Show the Data Intelligence Platform working against their real data and workloads
04Meet technical buyers on their own ground across modern data engineering (Spark, Delta, streaming), machine learning, and Generative AI, and integrate cleanly with their existing cloud and open-source stack
05Qualify quickly, prove value early, and land in a way that sets up expansion
06Make the technical and commercial case against competing tools, including cloud data warehouses, open-source stacks, and hyperscaler services
07Demonstrate our Builder Culture and our principle of 'show, not tell', supported by the latest AI tooling, to inspire customers
08Contribute to Databricks' technical community by developing customer-facing collateral and joining workshops, hackathons, seminars, and meet-ups
09Develop technically and in pre-sales, with the goal of operating independently as a Solutions Architect

01Hands-on experience in technical pre-sales, consultancy, or engineering, ideally with data-native or high-growth technology companies
02Proficiency in a core programming language such as Python, SQL, Scala, or Java, and a willingness to learn (or existing knowledge of) Spark
03Familiarity with a core data or AI domain: modern data engineering, streaming, machine learning, or Generative AI (e.g. RAG, fine-tuning, LLMOps)
04Experience with the modern data stack and open-source data tooling, and with at least one major public cloud (AWS, Azure, or GCP)
05Hands-on expertise in designing and delivering proofs-of-concept (PoCs)
06Enthusiasm for building with AI-based development tooling such as Claude Code, Cursor, or Databricks Assistant / Genie
07Proven ability to engage customers in a technical sales capacity: building a narrative, challenging assumptions, finding the real pain, and driving to a clear, tangible outcome
08Comfort communicating both technical and business value to diverse audiences, from engineers to founders and executives
09A customer-centric mindset with a passion for building client relationships and internal partnerships with account teams
10Energized by a high-velocity, new-logo motion and comfortable with ambiguity rather than a fixed account set
11Ability to commute to the London office regularly
12Willingness and ability to travel approximately 20-30% of the time across UK&I for customer visits

01Role is based in the London office, with regular collaboration across the UK&I region
02Willingness and ability to travel approximately 20-30% of the time across UK&I for customer visits
03Comprehensive benefits and perks that meet the needs of all of our employees