Sr. Solutions Engineer

Databricks
Singapore
Full timeFunction: Solutions Engineering & Sales EngineeringExperience: 4+ yearsEducation: bachelorsSkills: ["Presentation","Demonstration","Technical discovery","Technical communication","Customer-facing collaboration"]

Independently lead technical engagements for customer workloads across data engineering, analytics, and machine learning. Own discovery, solution design, and platform demonstrations, including building proofs-of-concept and live demos that drive adoption. Maintain frontline technical relationships and partner with Account Executives to develop account-level technical strategies. Contribute reusable technical assets like notebooks and reference architectures to the SA community.

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FursaFursa
Databricks
Databricks
1 day ago

Sr. Solutions Engineer

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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 customer workloads across data engineering, analytics, and machine learning. Own discovery, solution design, and platform demonstrations, including building proofs-of-concept and live demos that drive adoption. Maintain frontline technical relationships and partner with Account Executives to develop account-level technical strategies. Contribute reusable technical assets like notebooks and reference architectures to the SA community.
Location: Singapore
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 in partnership with an Account Executive to grow platform consumption.
  • •Navigate competitive landscapes by articulating Databricks differentiation through hands-on demonstrations.

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 platform (AWS, Azure, or GCP).
  • •Working knowledge of distributed data systems including Apache Spark and Delta Lake (or equivalent such as Hadoop, Kafka, or Flink).
  • •Experience leading technical customer conversations across discovery, whiteboarding, and architecture reviews.
Experience:4+ yearsData engineeringSolutions architectureTechnical pre-salesConsulting
Education:Bachelor's
Skills:PresentationDemonstrationTechnical discoveryTechnical communicationCustomer-facing collaboration
Certifications:Databricks certification
Languages:English
Tech Stack:PythonSQLAWSAzureGCPApache SparkDelta LakeHadoopKafkaFlinkUnity CatalogLakeflow Spark Declarative PipelinesMLflowETL/ELTMedallion architectureMLOps

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