Resident Solutions Architect - Communications, Media, Entertainment & Games

Databricks Lakehouse

Atlanta, Georgia, USA
$180,656—$248,360 usd py
**
Databricks platform expertise
Big data challenges
Customer engagements
** Databricks is seeking a Resident Solutions Architect for its Atlanta office to assist clients in addressing big data challenges using their platform. The role involves data engineering, cloud technology projects, and requires a strong technical background in data platforms, analytics, and distributed computing. **

Job Summary

  • You will 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.
  • You will 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.

Matching Summary

Match Score: 75

** Databricks is seeking a Resident Solutions Architect for its Atlanta office to assist clients in addressing big data challenges using their platform. The role involves data engineering, cloud technology projects, and requires a strong technical background in data platforms, analytics, and distributed computing. **

Salary

$180,656—$248,360 USD

Skills & Requirements

Must-have

  • Databricks platform expertise
  • Big data challenges
  • Customer engagements
  • Apache Spark™
  • Cloud ecosystems (AWS, Azure, GCP)

Nice-to-have

  • Excellent customer service
  • Technical project delivery management
  • Client conflict management

Key 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 with Apache Spark™
  • 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
  • Documentation and white-boarding skills
  • Experience working with clients and managing conflicts
  • Databricks Certification

Work Rights

Not specified

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