Sr. Solutions Engineer (Games)

Location: Northeast, United States; candidates in other locations may also be considered

Salary: $152,300–$209,450 USD annually, plus potential performance bonus, equity, and benefits.

Company

Databricks provides a unified Data + AI Platform for data engineering, analytics, machine learning, and AI applications.

What you will do

• Lead technical discovery and solution design for customer workloads across data engineering, analytics, and machine learning.
• Build and deliver proofs of concept and live demonstrations on the Databricks Platform.
• Own technical relationships with customer engineers, data teams, and technical leads.
• Develop account-level technical strategies with the Account Executive to grow platform consumption.
• Demonstrate Databricks differentiation in competitive evaluations.
• Create reusable notebooks, solution accelerators, and reference architectures.

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 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.
• 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 or AI company, cloud provider, or technical consulting firm.

Culture & Benefits

• Customer-centric, collaborative environment focused on innovation and creativity.
• Comprehensive benefits and region-specific perks.
• Potential annual performance bonus and equity eligibility.
• Commitment to inclusive hiring and equal employment opportunity.

Hiring process

• Recruiter screen and hiring manager screen.
• Design and architecture interview followed by a live coding assessment.
• Build, Demo, Pitch! presentation and reference check.