# Sr. Solutions Engineer

**Company**: Databricks
**Location**: London
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q18350420

**Apply**: https://job-boards.greenhouse.io/databricks/jobs/8721001002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_e1167ab6-660

## Description

As a Sr. 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.

## Responsibilities

- 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

## Requirements

- 4+ years in data engineering, solutions architecture, technical pre-sales, or a hands-on consulting role

- Proficient in Python and PySpark/Spark with demonstrated ability to debug, optimize, 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

## Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.

## Skills

### Required
- Python
- PySpark
- Spark
- data engineering
- solutions architecture
- technical pre-sales
- cloud platforms (AWS, Azure, GCP)
- distributed data systems (Apache Spark, Delta Lake)

### Nice to have
- Databricks certification
- Unity Catalog
- Lakeflow Spark Declarative Pipelines
- MLflow

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/databricks/jobs/8721001002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)