Resident Solutions Architect - Manufacturing

Databricks Lakehouse

Philadelphia, US
$180,656—$248,360 usd py
On-site
Databricks platform
Big data challenges
Data engineering
As a Resident Solutions Architect (RSA) on our Professional Services team, you will work with customers on short to medium term customer engagements on their big data challenges using the Databricks platform

Job Summary

  • As a Resident Solutions Architect (RSA) on our Professional Services team, you will work with customers on short to medium term customer engagements on their big data challenges using the Databricks platform.
  • You will provide data engineering, data science, and cloud technology projects which require 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.

Matching Summary

As a Resident Solutions Architect (RSA) on our Professional Services team, you will work with customers on short to medium term customer engagements on their big data challenges using the Databricks platform.

Salary

$180,656—$248,360 USD

Skills & Requirements

Must-have

  • Databricks platform
  • big data challenges
  • data engineering
  • data science
  • cloud technology projects
  • customer engagements
  • Apache Spark™
  • cloud ecosystems (AWS, Azure, GCP)

Nice-to-have

  • excellent customer service
  • strategic customers
  • transformational big data projects
  • end-to-end design, build and deployment
  • rapid resolution for engagement specific product and support issues
  • technical project delivery
  • managing scope and timelines
  • documentation and white-boarding skills
  • working with clients
  • managing conflicts

Key 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
  • Ability to travel up to 30% when needed

Work Rights

Not specified

Tailored Resume

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