Sr. Solutions Engineer - Digital Native Business, FinTech

Databricks
Florida, Illinois, Massachusetts, Michigan, New York, Pennsylvania, Texas, Virginia
Workplace: RemoteFull timeUSD 152,300 - 209,450 annuallyFunction: Solutions Engineering & Sales EngineeringSkills: ["Technical leadership","Customer collaboration","Problem-solving"]

Shape the future of the data landscape on the Digital Natives team by partnering with FinTech customers and internal teams to design architectures and solutions using Databricks’ platform and APIs. Provide technical leadership alongside sales, consult on big data architectures, and deliver proof of concepts across data engineering, data science, machine learning, and SQL workflows. Promote Databricks-inspired open source projects (Spark, Delta Lake, MLflow) in the developer community.

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FursaFursa
Databricks
Databricks
2 days ago

Sr. Solutions Engineer - Digital Native Business, FinTech

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

Job Summary

Shape the future of the data landscape on the Digital Natives team by partnering with FinTech customers and internal teams to design architectures and solutions using Databricks’ platform and APIs. Provide technical leadership alongside sales, consult on big data architectures, and deliver proof of concepts across data engineering, data science, machine learning, and SQL workflows. Promote Databricks-inspired open source projects (Spark, Delta Lake, MLflow) in the developer community.
Location: Florida, Illinois, Massachusetts, Michigan, New York, Pennsylvania, Texas, Virginia
Workplace: Remote
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Partner with the sales team to provide technical leadership and help customers understand how Databricks solves business problems
  • •Consult on big data architectures and implement proof of concepts for strategic projects across data engineering, data science, machine learning, and SQL analysis workflows
  • •Validate integrations with cloud services, homegrown tools, and other third-party applications
  • •Collaborate with fellow Solutions Architects to support each other and users
  • •Become an expert in, promote, and recruit contributors for Databricks-inspired open-source projects (Spark, Delta Lake, MLflow)
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 a similar pre-sales/consulting role
  • •Experience building distributed data systems
  • •Comfortable programming in and debugging Python and SQL
  • •Experience building solutions using public cloud providers such as AWS, Azure, or GCP
  • •Expertise in data engineering technologies (Spark, Hadoop, Kafka) or data science and machine learning technologies (pandas, scikit-learn, pytorch, Tensorflow)
Experience:Big dataData engineeringData scienceMachine learningPre-salesConsulting
Education:
Skills:Technical leadershipCustomer collaborationProblem-solving
Certifications:Databricks Certification
Languages:English
Tech Stack:DatabricksPythonSQLAPIsAWSAzureGCPSparkDelta LakeMLflowHadoopKafkaPandasScikit-learnPytorchTensorflowSQL analysis workflows

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