Sr. Solutions Engineer - Digital Native Business, Named Accounts

Databricks
Florida, Massachusetts, New York, North Carolina, Pennsylvania, Virginia
Workplace: RemoteFull timeUSD 152,300 - 209,450 annuallyFunction: Solutions Engineering & Sales EngineeringExperience: 3+ yearsSkills: ["Technical leadership","Customer-facing collaboration","Problem-solving","Architecture design","Debugging"]

Drive digital-native customer solutions by collaborating with Data Engineering and Data Science teams to design architectures using the Databricks platform and APIs. Partner with the sales team to provide technical leadership, consult on big data architectures, and deliver proof of concepts across data engineering, data science/ML, and SQL workflows. Promote and recruit contributors to Databricks open-source projects (Spark, Delta Lake, MLflow) and validate integrations across cloud and third-party tools.

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FursaFursa
Databricks
Databricks
2 days ago

Sr. Solutions Engineer - Digital Native Business, Named Accounts

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live

Job Summary

Drive digital-native customer solutions by collaborating with Data Engineering and Data Science teams to design architectures using the Databricks platform and APIs. Partner with the sales team to provide technical leadership, consult on big data architectures, and deliver proof of concepts across data engineering, data science/ML, and SQL workflows. Promote and recruit contributors to Databricks open-source projects (Spark, Delta Lake, MLflow) and validate integrations across cloud and third-party tools.
Location: Florida, Massachusetts, New York, North Carolina, Pennsylvania, Virginia
Workplace: Remote
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Partner with the sales team and provide technical leadership to help customers solve business problems with Databricks.
  • •Consult on big data architectures and implement proof of concepts for strategic projects spanning data engineering, data science/ML, and SQL analysis workflows.
  • •Collaborate with fellow Solutions Architects to support each other and users.
  • •Develop and guide customer technical champions through competitive landscapes, best practices, and implementations.
  • •Promote and recruit contributors for Databricks-inspired open-source projects (Spark, Delta Lake, MLflow) across the developer community.
Travel: Low travel

Pay and Benefits

Salary: USD 152,300 - 209,450 annually

Key Requirements

  • •3+ years in data engineering, data science, technical architecture, or similar pre-sales/consulting roles.
  • •Experience building distributed data systems.
  • •Comfortable programming in and debugging Python and SQL.
  • •Built solutions with public cloud providers such as AWS, Azure, or GCP.
  • •Expertise in data engineering tech (e.g., Spark, Hadoop, Kafka) or data science/ML tech (e.g., pandas, scikit-learn, PyTorch, TensorFlow).
Experience:3+ yearsData engineeringData sciencePre-salesConsultingDistributed systems
Skills:Technical leadershipCustomer-facing collaborationProblem-solvingArchitecture designDebugging
Certifications:Databricks Certification
Languages:English
Tech Stack:PythonSQLAWSAzureGCPSparkHadoopKafkaPandasScikit-learnPyTorchTensorFlowDatabricks platformDelta LakeMLflowAPIsCloud services

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