Sr. Solutions Engineer

Databricks
Mexico City
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 4+ yearsSkills: ["Customer-facing communication","Technical presentation","Stakeholder management","Problem-solving","Debugging"]

Partner with customers to design scalable data architectures using Databricks across the sales lifecycle. Collaborate with Account Executives to engage technical stakeholders, establish the Databricks Lakehouse as a standard, and create reference architectures and demo applications to drive new use cases. Consult on big data pipelines, data engineering, and data science/ML projects, validate integrations, and champion Databricks-inspired open-source projects through developer events.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Databricks
Databricks
1 month ago

Sr. Solutions Engineer

âś“ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live
Reposted: similar role first listed 4 months ago

Job Summary

Partner with customers to design scalable data architectures using Databricks across the sales lifecycle. Collaborate with Account Executives to engage technical stakeholders, establish the Databricks Lakehouse as a standard, and create reference architectures and demo applications to drive new use cases. Consult on big data pipelines, data engineering, and data science/ML projects, validate integrations, and champion Databricks-inspired open-source projects through developer events.
Location: Mexico City
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Partner with Account Executives and customers to develop account strategies that grow platform usage.
  • •Establish Databricks Lakehouse architecture as customers’ standard data architecture 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, data science/ML projects, and validate integrations with cloud services and third-party applications.
  • •Promote Databricks-inspired open-source projects (Spark, Delta Lake, MLflow, Koalas) via meetups, conferences, and webinars.
Travel: Medium travel

Key Requirements

  • •4+ years in customer-facing pre-sales, technical architecture, or consulting with expertise in at least one of: big data engineering, data warehousing & ETL, data science & machine learning, or data applications.
  • •Translate customer business needs into technical solutions and establish buy-in with stakeholders across business levels.
  • •Design, architect, and present data systems, and manage delivery of production solutions based on those architectures.
  • •Fluent in SQL and database technology.
  • •Debug and development experience in at least one language: Python, Scala, Java, or R.
Experience:4+ years
Education:
Skills:Customer-facing communicationTechnical presentationStakeholder managementProblem-solvingDebugging
Languages:English
Tech Stack:DatabricksApache SparkSparkDelta LakeMLflowKoalasHadoopKafkaSQLOLTPOLAPDSSPandasScikit-learnPythonScalaJavaRAWSAzure

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