Sr. Solutions Engineer
Databricks3 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, live demos, and hands-on 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 through hands-on demonstrations and navigate competitive landscapes.
- Create reusable notebooks, solution accelerators, and reference architectures for the solutions architecture 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; live coding is required during 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, including 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 benefits and perks are offered, with details varying by region.
- The position is located in Singapore.
- The interview process includes recruiter and hiring manager screens, design and architecture, live coding, a build-demo-pitch presentation, and reference checks.
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).