Resident Solutions Architect - Communications, Media, Entertainment & Games

Databricks

Boston, United States
$180,656—$248,360 usd; not specified; not specifie...
On-site
Databricks platform expertise
Apache spark deep experience
Python or scala coding
As a Big Data Solutions Architect, you will work with clients on short to medium term engagements to solve big data challenges using the Databricks platform, providing data engineering, data science, and cloud technology project support

Job Summary

  • As a Big Data Solutions Architect, you will work with clients on short to medium term engagements to solve big data challenges using the Databricks platform, providing data engineering, data science, and cloud technology project support.
  • You will guide strategic customers in implementing transformational big data projects, including end-to-end design, build, and deployment of AI applications, and provide escalated support for customer operational issues.
  • The role requires 6+ years of experience in data engineering, platforms & analytics, comfort with Python or Scala, working knowledge of cloud ecosystems, and deep experience with Apache Spark.

Matching Summary

As a Big Data Solutions Architect, you will work with clients on short to medium term engagements to solve big data challenges using the Databricks platform, providing data engineering, data science, and cloud technology project support.

Salary

$180,656—$248,360 USD; Not specified; Not specified

Skills & Requirements

Must-have

  • Databricks platform expertise
  • Apache Spark deep experience
  • Python or Scala coding
  • Cloud ecosystems (AWS, Azure, GCP)
  • Data architectures design and deployment

Nice-to-have

  • Client relationship management
  • Conflict management skills
  • Continuous learning and development

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
  • Travel to customers 20% of the time
  • Databricks Certification

Work Rights

Not specified

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