Resident Solutions Architect – Public Sector

Solutions EngineerSolutions EngineerFull TimeRemoteTeam 1,001-5,000Since 2013H1B SponsorCompany SiteLinkedIn

Location

Washington

Posted

3 days ago

Salary

$180.7K - $248.4K / year

Bachelor Degree6 yrs expEnglishApacheAWSAzureBootstrapCloudGoogle Cloud PlatformPythonScalaSpark

Job Description

• Work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform • Provide data engineering, data science, and cloud technology projects • Integrating with client systems, training, and other technical tasks to help customers to get most value out of their data • RSAs are billable and know how to complete projects according to specification with excellent customer service • Report to the regional Manager/Lead • Work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases • Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications • Consult on architecture and design; bootstrap or implement customer projects • Provide an escalated level of support for customer operational issues • Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs • Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues

Job Requirements

  • 6+ years experience in data engineering, data platforms & analytics
  • Comfortable writing code in either Python or Scala
  • Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
  • Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals
  • Familiarity with CI/CD for production deployments
  • Working knowledge of MLOps
  • Design and deployment of performant end-to-end data architectures
  • Experience with technical project delivery - managing scope and timelines
  • Documentation and white-boarding skills
  • Experience working with clients and managing conflicts
  • Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects
  • Travel to customers 20% of the time
  • Databricks Certification

Benefits

  • Comprehensive benefits and perks
  • Bonus potential
  • Equity offerings

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