Sr. Solutions Engineer - Games

Databricks
California
Workplace: RemoteFull timeUSD 152,300 - 209,450 annuallyFunction: Solutions Engineering & Sales EngineeringExperience: 4+ yearsSkills: ["Customer-facing communication","Presentation and demo skills","Problem-solving","Technical discovery","Collaboration"]

Independently lead technical engagements for customers, owning discovery, solution design, and platform demonstrations across data engineering, analytics, and machine learning. Build proofs-of-concept and live demos on the Databricks Data Intelligence Platform to drive technical wins, and partner with Account Executives on account-level technical strategies. Deliver differentiators through hands-on demos, maintain frontline technical relationships, and contribute reusable technical assets to the SA community.

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FursaFursa
Databricks
Databricks
1 day ago

Sr. Solutions Engineer - Games

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 9 hours agoStatus: Live
Reposted: similar role first listed 1 month ago

Job Summary

Independently lead technical engagements for customers, owning discovery, solution design, and platform demonstrations across data engineering, analytics, and machine learning. Build proofs-of-concept and live demos on the Databricks Data Intelligence Platform to drive technical wins, and partner with Account Executives on account-level technical strategies. Deliver differentiators through hands-on demos, maintain frontline technical relationships, and contribute reusable technical assets to the SA community.
Location: California
Workplace: Remote
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Independently lead technical discovery and solution design for customer workloads across data engineering, analytics, and machine learning.
  • •Build and deliver proofs-of-concept and live demos on the Databricks Platform to drive technical wins.
  • •Own frontline technical relationships with customer engineers, data teams, and technical leads.
  • •Develop account-level technical strategies with the Account Executive to grow platform consumption.
  • •Navigate competitive landscapes by articulating differentiation through hands-on demonstrations.

Pay and Benefits

Salary: USD 152,300 - 209,450 annually

Key Requirements

  • •4+ years in data engineering, solutions architecture, technical pre-sales, or hands-on consulting.
  • •Proficiency in Python and SQL, including debugging and optimizing production-quality code (live coding required).
  • •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 and Delta Lake (or equivalent like Hadoop, Kafka, Flink).
  • •Experience leading technical customer conversations across discovery, whiteboarding, and architecture reviews.
Experience:4+ yearsData engineeringSolutions architectureTechnical pre-salesData science/MLCloudConsulting
Education:
Skills:Customer-facing communicationPresentation and demo skillsProblem-solvingTechnical discoveryCollaboration
Certifications:Databricks certification
Languages:English
Tech Stack:PythonSQLAWSAzureGCPApache SparkDelta LakeHadoopKafkaFlinkUnity CatalogLakeflow Spark Declarative PipelinesMLflowETLELTMLOps

Company Brief

Databricks
Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.
Industry: Data Infrastructure
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2013
WebsiteLinkedIn