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DatabricksDatabricks

Resident Solutions Architect

Forward Deployed Engineer (Solutions Architect) delivering big data, Spark, and AI projects for Databricks customers in media/entertainment. Requires 6+ years data engineering experience, Python/Scala, deep Spark knowledge, multi-cloud expertise, and client-facing project delivery skills.

About the job

Impact

  • Work on impactful customer technical projects: designing/building reference architectures, creating how-to's, productionalizing use cases.
  • Scope professional services work with engagement managers and customer input.
  • Guide strategic customers on transformational big data projects, 3rd party migrations, including end-to-end design, build, and deployment of big data and AI applications.
  • Consult on architecture and design; bootstrap or implement projects leading to successful Databricks adoption.
  • Provide escalated support for customer operational issues.
  • Collaborate with Databricks technical team, Project Manager, Architect, and Customer team to deliver technical components.
  • Work with Engineering and Customer Support to provide product/implementation feedback and resolve issues.

Requirements

  • 6+ years experience in data engineering, data platforms & 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.
  • 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 supporting Databricks deployment and integration.
  • Travel to customers 20% of the time.
  • Databricks Certification (preferred).

Nice-to-Haves

  • Experience in Communications, Media, Entertainment & Games vertical.

Skills

Python, Scala, AWS, Azure, GCP, Spark, CI/CD, MLOps, Databricks

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