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Sr. Forward Deployed Engineer (FDE) - Public Sector

IT Consultant • Senior • Hybrid • Full-time United States Washington D.C., USA

As a Professional Services Engineer (Resident Solutions Architect) on the Databricks Professional Services team, this role works with customers on short to medium term engagements covering their big data challenges using the Databricks platform, providing data engineering, data science, and cloud technology project support. A U.S. Secret clearance or above is required to comply with U.S. federal government requirements.

Responsibilities

  • Handle a variety of impactful customer technical projects, including designing and building reference architectures, creating how-tos, and productionalizing customer use cases.
  • Work with engagement managers to scope professional services work with input from the customer.
  • Guide strategic customers through transformational big data projects and third-party migrations, including end-to-end design, build, and deployment of big data and AI applications.
  • Consult on architecture and design, and bootstrap or implement customer projects supporting successful adoption of Databricks.
  • Provide an escalated level of support for customer operational issues.
  • Collaborate with Databricks Technical, Project Manager, Architect, and Customer teams to ensure technical components of the engagement are delivered to meet customer needs.
  • Work with Engineering and Databricks Customer Support to provide product and implementation feedback and guide resolution of engagement-specific issues.

Requirements

  • U.S. Secret clearance or above required.
  • 6+ years of experience in data engineering, data platforms, and analytics.
  • Comfortable writing code in 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 using Apache Spark and knowledge of Spark runtime internals.
  • Familiarity with CI/CD for production deployments.
  • Working knowledge of MLOps.
  • Experience designing and deploying 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.
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent work experience.
  • Ability to travel up to 30% when needed.

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