Sr. Solutions Engineer - Games

Databricks
California, United States
Workplace: RemoteFull timeUSD 152,300 - 209,450 annuallyFunction: Solutions Engineering & Sales EngineeringExperience: 4+ yearsEducation: bachelorsSkills: ["Customer-facing communication","Technical presentation","Demo delivery","Problem-solving","Collaboration"]

Independently lead technical engagements for customers, driving 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, own frontline technical relationships, and partner with the Account Executive on account-level technical strategies to grow platform consumption. Contribute reusable technical assets such as notebooks, accelerators, and reference architectures to the SA community.

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FursaFursa
Databricks
Databricks
1 day ago

Sr. Solutions Engineer - Games

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Source: Company careers pageValidated by: Fursa AI
Last checked: 9 hours agoStatus: Live

Job Summary

Independently lead technical engagements for customers, driving 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, own frontline technical relationships, and partner with the Account Executive on account-level technical strategies to grow platform consumption. Contribute reusable technical assets such as notebooks, accelerators, and reference architectures to the SA community.
Location: California, United States
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 spanning data engineering, analytics, and machine learning
  • •Build and deliver 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 with the Account Executive to grow platform consumption
  • •Navigate competitive landscapes by articulating Databricks 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 a hands-on consulting role
  • •Proficient in Python and SQL with ability to debug, optimize, and write production-quality code (live coding required)
  • •Hands-on experience designing and implementing data solutions on at least one public cloud (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)
Experience:4+ yearsData engineeringSolutions architectureTechnical pre-salesConsulting
Education:Bachelor's
Skills:Customer-facing communicationTechnical presentationDemo deliveryProblem-solvingCollaboration
Certifications:Databricks certification
Tech Stack:PythonSQLAWSAzureGCPApache SparkDelta LakeHadoopKafkaFlinkUnity CatalogLakeflow Spark Declarative PipelinesMLflowETL/ELTMedallion architectureMLOpsNotebooksSolution acceleratorsReference architectures

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