At a Glance
- Tasks: Lead technical engagements, design solutions, and deliver demos for customers using Databricks.
- Company: Join Databricks, a leading Data and AI company trusted by top global brands.
- Benefits: Enjoy comprehensive benefits, competitive salary, and a commitment to diversity and inclusion.
- Other info: Dynamic role with opportunities for growth and collaboration in a diverse environment.
- Why this job: Make an impact in the data and AI space while working with cutting-edge technology.
- Qualifications: 4+ years in data engineering or solutions architecture; proficient in Python and SQL.
The predicted salary is between 72000 - 88000 £ per year.
Location: London (or surrounding areas)
The Role
As a Senior Solutions Engineer, you will independently lead technical engagements for customers, owning discovery, solution design, and platform demonstrations. You are a builder who can code, architect, and present—combining technical depth with customer-facing skills to drive Databricks adoption. You will own frontline customer relationships and work with your Account Executive to develop technical strategies that expand platform usage.
The Impact You Will Have
- Independently lead technical discovery and solution design for customer workloads spanning data engineering, analytics, and machine learning
- Build and deliver compelling proofs-of-concept and live demos on the Databricks Platform that drive technical wins
- Own frontline technical relationships with customer engineers, data teams, and technical leads
- Develop account-level technical strategies in partnership with your Account Executive to grow platform consumption
- Navigate competitive landscapes by articulating Databricks differentiation through hands‑on demonstrations
- Contribute reusable technical assets (notebooks, solution accelerators, reference architectures) to the broader SA community
What We Look For
- 4+ years in data engineering, solutions architecture, technical pre-sales, or a hands‑on consulting role
- Proficient in Python and SQL with demonstrated ability to debug, optimise, and write production-quality code — live coding is a required interview stage
- Hands‑on experience designing and implementing data solutions on at least one public cloud platform (AWS, Azure, or GCP)
- Working knowledge of distributed data systems: Apache Spark™, Delta Lake, or equivalent (Hadoop, Kafka, Flink)
- Experience leading technical customer conversations — discovery, whiteboarding, architecture reviews
- Familiarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming), data science/ML (model training, MLOps), or SQL analytics
- Strong presentation and demo skills — you will build and present a live solution during the interview
- Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience)
Nice to Have:
- Databricks certification or experience with the Databricks Platform
- Experience with Unity Catalog, Lakeflow Spark Declarative Pipelines, or MLflow
- Background at a data/AI company, cloud provider, or technical consulting firm
Interview Process:
- Recruiter Screen
- Hiring Manager Screen
- Design and Architecture Interview
- Live Coding Assessment
- Build, Demo, Pitch! Presentation
- Reference Check
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide 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.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel.
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.
Senior Solutions Engineer (Technical, Presales, Data & AI, DNB) employer: DataBricks
At Databricks, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our commitment to employee growth is evident through continuous learning opportunities and the chance to tackle complex challenges in data and AI, all while working in a supportive environment that values diversity and inclusion. Located in a vibrant tech hub, we provide our team with access to cutting-edge resources and a network of industry leaders, making it an ideal place for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Solutions Engineer (Technical, Presales, Data & AI, DNB)
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We think you need these skills to ace Senior Solutions Engineer (Technical, Presales, Data & AI, DNB)
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✨Brush Up on Your Statistics
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