Databricks
Sr. Solutions Engineer - Digital Native Business (Strategic Accounts)
$152K–$209K
Remote - California +4 · Remote · Senior · Full-time · Posted Sep 18, 2026
- Location
- Remote - California
Remote - Colorado
Remote - Oregon
Remote - Washington
San Francisco, California - Experience
- 4+ years in data engineering, solutions architecture, technical pre-sales, or hands-on consulting.
- Education
- Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience).
About the job
Leads customer-facing technical engagements to design, demonstrate, and expand adoption of Databricks solutions for data engineering, analytics, and machine learning workloads.
What you'll do
- Lead customer discovery, solution design, proofs-of-concept, and live platform demonstrations.
- Own technical customer relationships and develop account strategies with Account Executives.
- Create reusable technical assets such as notebooks, solution accelerators, and reference architectures.
What they ask for
- 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 and strong presentation and demonstration skills.
Nice to have
- Databricks certification or experience with the Databricks Platform.
- Experience with Unity Catalog, Lakeflow Spark Declarative Pipelines, or MLflow.
Pay
$152,300 — $209,450 USD (salary range or on-target earnings; posting does not specify base salary versus total pay)
Tools
Python, SQL, AWS, Azure, GCP, Apache Spark™, Delta Lake, MLflow
AI focus
Supports customer machine-learning workloads and data/AI solution adoption, including demos and proofs-of-concept.
Model-written summary · the original posting is authoritative