Sr. Solutions Engineer

Databricks
United States
Workplace: OnsiteFull timeUSD 152,300 - 209,450 annuallyFunction: Solutions Engineering & Sales EngineeringExperience: 3+ yearsSkills: ["Communication","Presentation","Problem-solving","Stakeholder management"]

Senior pre-sales engineer helping customers design scalable data architectures using the Databricks Lakehouse, guiding technical engagements from architecting data systems to validating integrations. Partners with Sales to land opportunities, builds reference architectures and demos, and promotes open-source Databricks projects. Travel up to 30% and ensure customer buy-in across multiple stakeholders while delivering production-ready data solutions.

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FursaFursa
Databricks
Databricks
6 months 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: 3 hours agoStatus: Live

Job Summary

Senior pre-sales engineer helping customers design scalable data architectures using the Databricks Lakehouse, guiding technical engagements from architecting data systems to validating integrations. Partners with Sales to land opportunities, builds reference architectures and demos, and promotes open-source Databricks projects. Travel up to 30% and ensure customer buy-in across multiple stakeholders while delivering production-ready data solutions.
Location: United States
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Sr. Manager level

Key Responsibilities

  • •Design scalable data architectures using Databricks technology and services for customer engagements.
  • •Partner with Sales to develop account strategies and grow platform usage within assigned accounts.
  • •Establish the Databricks Lakehouse architecture as the standard data architecture for customers via technical account planning.
  • •Build and present reference architectures and demo applications to help prospects understand Databricks capabilities.
  • •Capture technical wins by consulting on big data architectures, data engineering pipelines, and data science/machine learning projects; validate integrations with cloud services and 3rd party apps.
Travel: Medium travel

Pay and Benefits

Salary: USD 152,300 - 209,450 annually

Key Requirements

  • •3+ years in a customer-facing pre-sales, technical architecture, or consulting role
  • •expertise in big data engineering (e.g., Spark, Hadoop, Kafka)
  • •Data Warehousing & ETL (e.g., SQL, OLTP/OLAP/DSS)
  • •Data Science and Machine Learning (e.g., pandas, scikit-learn, HPO)
  • •Fluent in SQL and database technology; development in Python, Scala, Java, or R
Experience:3+ yearsData engineeringBig dataData warehousingMachine learningData applications
Skills:CommunicationPresentationProblem-solvingStakeholder management
Languages:English
Tech Stack:SQLPythonScalaJavaRSparkHadoopKafkaDelta LakeMLflowKoalasAWSAzureGCP

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