Sr. Solutions Engineer

Databricks
Singapore
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 4+ yearsEducation: bachelorsSkills: ["Presentation","Demo skills","Technical communication","Debugging","Architecture reviews"]

Independently lead technical engagements for customers, owning discovery, solution design, and platform demonstrations to drive Databricks adoption. Build and deliver proofs-of-concept and live demos across data engineering, analytics, and machine learning, while maintaining frontline technical relationships and partnering with Account Executives on account-level technical strategy. Articulate differentiation through hands-on demos and contribute reusable technical assets to the SA community.

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FursaFursa
Databricks
Databricks
1 day ago

Sr. Solutions Engineer

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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 to drive Databricks adoption. Build and deliver proofs-of-concept and live demos across data engineering, analytics, and machine learning, while maintaining frontline technical relationships and partnering with Account Executives on account-level technical strategy. Articulate differentiation through hands-on demos and contribute reusable technical assets to the SA community.
Location: Singapore
Workplace: Onsite
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 in 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.

Key Requirements

  • •4+ years in data engineering, solutions architecture, technical pre-sales, or hands-on consulting.
  • •Proficiency 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 AWS, Azure, or GCP.
  • •Working knowledge of distributed data systems such as Apache Spark and Delta Lake (or Hadoop, Kafka, Flink).
  • •Experience leading technical customer conversations (discovery, whiteboarding, architecture reviews).
Experience:4+ yearsData engineeringSolutions architectureTechnical pre-salesHands-on consulting
Education:Bachelor's
Skills:PresentationDemo skillsTechnical communicationDebuggingArchitecture reviews
Certifications:Databricks certification
Languages:English
Tech Stack:PythonSQLAWSAzureGCPApache SparkDelta LakeHadoopKafkaFlinkETL/ELTUnity CatalogLakeflow Spark Declarative PipelinesMLflowMLOpsMedallion architecture

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