Senior Solutions Engineer (Technical, Presales, Data & AI, DNB)
Databricks1 month ago
London, United KingdomSenior
Responsibilities
- Lead technical discovery and solution design for customer workloads across data engineering, analytics, and machine learning.
- Build and deliver proofs of concept, live demos, and technical presentations on the Databricks Platform.
- Own technical relationships with customer engineers, data teams, and technical leads.
- Develop account-level technical strategies with Account Executives to grow platform consumption.
- Explain Databricks differentiation in competitive situations through hands-on demonstrations.
- Create reusable notebooks, solution accelerators, and reference architectures for the broader Solutions Architect community.
Requirements
- At least 4 years of experience in data engineering, solutions architecture, technical presales, or hands-on consulting.
- Proficiency in Python and SQL, including debugging, optimization, and production-quality coding; live coding is required during the interview process.
- Hands-on experience designing and implementing data solutions on AWS, Azure, or GCP.
- Working knowledge of distributed data systems such as Apache Spark, Delta Lake, Hadoop, Kafka, or Flink.
- Experience leading customer discovery, whiteboarding, and architecture review conversations.
- Familiarity with data engineering, data science and machine learning, MLOps, or SQL analytics.
- Strong presentation and live 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
- Comprehensive employee benefits and perks are offered, with region-specific details available through Databricks.
- The position is located in London or surrounding areas.
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.