Sr. Solutions Engineer - Digital Native Business (Strategic Accounts)
Databricks1 day ago
Base Salary
$152k - $209k/yr
Responsibilities
- Lead technical discovery and solution design for data engineering, analytics, and machine-learning workloads.
- Build and deliver proofs of concept, live demonstrations, and production-quality technical solutions 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.
- Explain Databricks differentiation through hands-on demonstrations and competitive positioning.
- Create reusable notebooks, solution accelerators, and reference architectures for the 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 or machine learning, MLOps, 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 experience with the Databricks Platform, Unity Catalog, Lakeflow Spark Declarative Pipelines, or MLflow is preferred.
Benefits
- Benefits and perks are offered, with specific details varying by region.
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.