Sr. Solutions Engineer - Public Sector (DoW - 4th Estate)

Databricks
Maryland, Virginia, Washington
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 5+ yearsSkills: ["Python","Scala","Java","SQL","R","Spark","Hadoop","Kafka","Pandas","Scikit-learn","MLflow","Koalas","Presentation","Communication","Leadership","Collaboration","Customer-facing"]

Lead pre-sales engagements for the Databricks Unified Analytics Platform in the Public Sector, shaping data architectures and guiding customers from concept to implementation. Partner with sales, provide technical leadership, and drive adoption across cloud environments while promoting open-source projects like Spark, Delta Lake, and MLflow.

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FursaFursa
Databricks
Databricks
3 months ago

Sr. Solutions Engineer - Public Sector (DoW - 4th Estate)

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 9 hours agoStatus: Live
Reposted: similar role first listed 6 months ago

Job Summary

Lead pre-sales engagements for the Databricks Unified Analytics Platform in the Public Sector, shaping data architectures and guiding customers from concept to implementation. Partner with sales, provide technical leadership, and drive adoption across cloud environments while promoting open-source projects like Spark, Delta Lake, and MLflow.
Location: Maryland, Virginia, Washington
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Sr. Manager level

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, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications
  • •Build and present reference architectures, how-tos, and demo applications for customers
  • •Travel to customers in your region

Key Requirements

  • •5+ years in a customer-facing pre-sales, technical architecture, or consulting role
  • •Experience designing and architecting distributed data systems
  • •Comfortable programming in, and debugging, at least one of: Python, Scala, Java, SQL, or R
  • •Experience supporting Public Sector clients
  • •Have built solutions with public cloud providers such as AWS, Azure, or GCP
Experience:5+ yearsPublic SectorData engineeringCloud
Skills:PythonScalaJavaSQLRSparkHadoopKafkaPandasScikit-learnMLflowKoalasPresentationCommunicationLeadershipCollaborationCustomer-facing
Certifications:Secret clearance
Languages:English
Tech Stack:PythonScalaJavaSQLRSparkHadoopKafkaMLflowKoalasDelta LakeApache Spark

Eligibility

Security Clearance:Secret

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