Sr. Solutions Engineer
Databricks2 hours ago
Responsibilities
- Lead technical discovery and solution design for customer workloads spanning data engineering, analytics, and machine learning.
- Build and deliver proofs of concept, live demos, 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 grow platform consumption.
- Explain Databricks differentiation through hands-on demonstrations and navigate competitive landscapes.
- Contribute reusable technical assets to the broader Solutions Architect community.
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 production-quality coding.
- 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 technical customer conversations, discovery sessions, whiteboarding, and architecture reviews.
- Familiarity with data engineering, data science and machine learning, or SQL analytics.
- Strong presentation and demonstration skills, including the ability to build and present a live solution.
- 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
- Databricks offers comprehensive benefits and perks, with region-specific details provided separately.
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).