Solutions Architect - Financial Services (Insurance)

Databricks
Illinois, New Jersey, New York, Washington
Workplace: OnsiteFull timeUSD 180,000 - 247,500 annuallyFunction: Solutions Engineering & Sales EngineeringExperience: 6+ yearsEducation: bachelorsSkills: ["Communication","Leadership","Presentation","Customer-facing","Collaboration"]

Customer-facing Solutions Architect for Databricks, driving data platform architectures in the Financial Services (Insurance) space. Lead technical evaluation and adoption of Databricks, design and present reference architectures, guide POCs, collaborate with sales and post-sales teams, and promote open source projects across communities. Travel to customer sites in your territory as needed.

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Databricks
Databricks
2 months ago

Solutions Architect - Financial Services (Insurance)

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Last checked: 7 hours agoStatus: Live

Job Summary

Customer-facing Solutions Architect for Databricks, driving data platform architectures in the Financial Services (Insurance) space. Lead technical evaluation and adoption of Databricks, design and present reference architectures, guide POCs, collaborate with sales and post-sales teams, and promote open source projects across communities. Travel to customer sites in your territory as needed.
Location: Illinois, New Jersey, New York, Washington
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

  • •Partner with the sales team to help customers understand how Databricks can help solve their business problems
  • •Provide technical leadership for customers to evaluate and adopt Databricks
  • •Consult on big data architecture, execute proof of concepts for strategic customer projects, and validate integrations with cloud services and other 3rd party applications
  • •Build and present reference architectures, how-tos, and demonstrate applications for customers
  • •Become an expert in, and promote open source projects (Apache Sparkā„¢, Delta Lake, MLflow, and Unity Catalog) across developer communities through meetups, conferences, and webinars
  • •Travel to meet with customers in your territory
Travel: Medium travel

Pay and Benefits

Salary: USD 180,000 - 247,500 annually
Perks:Remote WorkHealth InsuranceDental401kEquityPaid LeaveLearning BudgetParental LeaveGym MembershipHome OfficeMeal AllowanceAnnual BonusRelocationChildcarePet Insurance

Key Requirements

  • •6+ years in a customer-facing pre-sales role, or consulting role - preferably working with big-data technologies to solve data engineering and big-data analytical challenges
  • •Experience designing and architecting distributed data systems
  • •Comfortable programming in, and debugging, at least one of: Python, SQL, Scala, Java, or R
  • •Experience working with global system integrators, consulting organizations, or financial services technology, or financial services data providers is a positive differentiator
  • •Experience building solutions with public cloud providers such as AWS, Azure, or GCP
  • •Experience with Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
  • •Experience with Data Warehousing technologies (Ex: SQL, OLTP/OLAP/DSS)
  • •Undergraduate degree or higher in an engineering or mathematics discipline such as Computer Science, Applied Mathematics, Electrical Engineering, etc.)
Experience:6+ yearsFinancial servicesBig dataData analyticsCloud servicesOpen source
Education:Bachelor's
Skills:CommunicationLeadershipPresentationCustomer-facingCollaboration
Languages:English
Tech Stack:PythonSQLScalaJavaRApache SparkDelta LakeMLflowUnity CatalogAWSAzureGCPHadoopKafka

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