Senior Solutions Engineer (Presales, Technical, Data and AI)
Databricks23 hours ago
Responsibilities
- Lead technical discovery and solution design for customer workloads across data engineering, analytics, and machine learning.
- Build and deliver proofs of concept and live demonstrations 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 through hands-on demonstrations and competitive engagements.
- Create reusable notebooks, solution accelerators, and reference architectures for the Solutions Architect community.
Requirements
- 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 or machine learning, MLOps, or SQL analytics.
- Strong presentation and demonstration skills, including building and presenting a live solution during the interview.
- 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.
- Experience 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 for London and surrounding areas.
Tech Stack
Apache FlinkApache HadoopApache KafkaApache SparkAWSAzureDatabricksGoogle Cloud PlatformMLflowPythonSQL
Categories
Solutions Engineering
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and over 60% of the Fortune 500 — rely on Databricks 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 Data Intelligence Platform that includes Agent Bricks, Lakeflow, Lakehouse, Lakebase and Unity Catalog. --- Databricks applicants Please apply through our official Careers page at databricks.com/company/careers. All official communication from Databricks will come from email addresses ending with @databricks.com or @goodtime.io (our meeting tool).