Sr. Solutions Engineer

Databricks
São Paulo
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 4+ yearsSkills: ["Communication","Technical leadership","Problem-solving","Stakeholder management"]

Partner with customers to design scalable data architectures using the Databricks platform throughout the sales lifecycle. Work closely with Account Executives to engage technical stakeholders and establish Databricks Lakehouse as a standard architecture. Build and present reference architectures and demo applications, consult on big data and ML/DS projects, validate cloud and 3rd-party integrations, and promote Databricks open-source projects through community events.

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FursaFursa
Databricks
Databricks
1 month ago

Sr. Solutions Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live

Job Summary

Partner with customers to design scalable data architectures using the Databricks platform throughout the sales lifecycle. Work closely with Account Executives to engage technical stakeholders and establish Databricks Lakehouse as a standard architecture. Build and present reference architectures and demo applications, consult on big data and ML/DS projects, validate cloud and 3rd-party integrations, and promote Databricks open-source projects through community events.
Location: São Paulo
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Partner with customers to design scalable data architectures using Databricks technology and services across the sales lifecycle.
  • •Collaborate with Account Executives to develop account strategies and grow platform usage for assigned accounts.
  • •Establish Databricks Lakehouse architecture as a standard through technical account planning.
  • •Build and present reference architectures and demo applications to help prospects land new users and use cases.
  • •Consult on big data architectures, data engineering pipelines, and data science/ML projects; validate integrations with cloud services and other 3rd-party applications.
Travel: Medium travel

Key Requirements

  • •4+ years in customer-facing pre-sales, technical architecture, or consulting with expertise in data engineering, data warehousing/ETL, data science/ML, or data applications.
  • •Experience translating customer business needs into technology solutions and aligning with stakeholders at multiple levels.
  • •Experience designing, architecting, and presenting data systems and managing delivery of production data architecture solutions.
  • •Fluency in SQL and database technology.
  • •Debug and development experience in at least one language: Python, Scala, Java, or R.
Experience:4+ yearsBig dataData engineeringData warehousingETLMachine learning
Skills:CommunicationTechnical leadershipProblem-solvingStakeholder management
Languages:English
Tech Stack:DatabricksSparkDelta LakeMLflowKoalasHadoopKafkaSQLPandasScikit-learnAWSAzureGCPPythonScalaJavaRETL

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