Senior Solutions Engineer (Manufacturing, Automotive, Defence)
Databricks30 days ago
London, United KingdomSenior
Responsibilities
- Lead technical discovery and solution design for customer workloads spanning data engineering, analytics, GenAI, and machine learning.
- Build and deliver proofs of concept, live demonstrations, notebooks, solution accelerators, and reference architectures on the Databricks Platform.
- Own technical relationships with customer engineers, data teams, and technical leads.
- Develop account-level technical strategies with Account Executives to expand platform usage and consumption.
- Explain Databricks differentiation through hands-on demonstrations and navigate competitive landscapes.
- Present and demonstrate a live solution during the interview process.
Requirements
- 4+ years of experience in data engineering, solutions architecture, technical pre-sales, or hands-on consulting.
- Proficiency in Python and SQL, including debugging, optimization, and writing production-quality code; live coding is required in the interview.
- 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 such as Apache Spark, Delta Lake, Hadoop, Kafka, or Flink.
- Experience leading technical customer conversations, including discovery, whiteboarding, and architecture reviews.
- Familiarity with data engineering, data science and machine learning, MLOps, or SQL analytics.
- Strong presentation and demonstration skills.
- Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline, or equivalent experience.
- Databricks certification or Databricks Platform experience is preferred.
- Experience with Unity Catalog, Lakeflow Spark Declarative Pipelines, or MLflow is preferred.
- Background at a data or AI company, cloud provider, or technical consulting firm is preferred.
Benefits
- Role based in London or surrounding areas.
- Region-specific benefits and perks are provided through Databricks' benefits program.
Tech Stack
Apache FlinkApache HadoopApache KafkaApache SparkAWSAzureDatabricksGoogle Cloud PlatformMLflowPythonSQL
Categories
Solutions Engineering
About Databricks
Databricks builds a cloud-based data and AI platform centered on the lakehouse architecture, combining data engineering, analytics, and machine learning with Apache Spark, Delta Lake, and MLflow. It sells subscriptions and cloud services to enterprises that need to unify data pipelines and develop large-scale AI and analytics. Founded in 2013 by the creators of Apache Spark and headquartered in San Francisco, the company is privately held and serves organizations across many industries.