Sr. Solutions Engineer - Games

About the role

While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. At Databricks, our core principles guide us to create a unified platform that makes data science and analytics accessible to everyone. We inspire customers to make informed decisions that push their business forward by providing a user-friendly and intuitive platform that turns insights into action and fosters creativity, experimentation, and continuous improvement.

As a Sr. Solutions Engineer, you will independently lead technical engagements for customers, owning discovery, solution design, and platform demonstrations. You are a builder who combines technical depth with customer-facing skills to drive Databricks adoption. You will own frontline customer relationships and work with your Account Executive to develop technical strategies that expand platform usage.

The Impact You Will Have

• Independently lead technical discovery and solution design for customer workloads spanning data engineering, analytics, and machine learning
• Build and deliver compelling proofs-of-concept and live demos on the Databricks Platform that drive technical wins
• Own frontline technical relationships with customer engineers, data teams, and technical leads
• Develop account-level technical strategies in partnership with your Account Executive to grow platform consumption
• Navigate competitive landscapes by articulating Databricks differentiation through hands-on demonstrations
• Contribute reusable technical assets (notebooks, solution accelerators, reference architectures) to the broader Solutions Architect community

Requirements

• 4+ years in data engineering, solutions architecture, technical pre-sales, or a hands-on consulting role
• Proficient in Python and SQL with demonstrated ability to debug, optimize, and write production-quality code — live coding is a required interview stage
• 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: Apache Spark™, Delta Lake, or equivalent (Hadoop, Kafka, Flink)
• Experience leading technical customer conversations — discovery, whiteboarding, architecture reviews
• Familiarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming), data science/ML (model training, MLOps), or SQL analytics
• Strong presentation and demo skills — you will build and present a live solution during the interview
• Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience)

Nice To Have

• Databricks certification or experience with the Databricks Platform
• Experience with Unity Catalog, Lakeflow Spark Declarative Pipelines, or MLflow
• Background at a data/AI company, cloud provider, or technical consulting firm

Pay

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role are listed below and represent the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors unique to each candidate.

• Zone 1 Pay Range: $152,300—$209,450 USD
• Zone 2 Pay Range: $152,300—$209,450 USD
• Zone 3 Pay Range: $152,300—$209,450 USD
• Zone 4 Pay Range: $152,300—$209,450 USD

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, click here.