Data & AI Platform Architect (Professional Services)

Role Overview

As a Data & AI Platform Architect (Professional Services), you will work with clients 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.

What You Will Do

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, guiding strategic customers as they implement transformational big data projects, and providing escalated level of support for customer operational issues.

Why It Might Be a Fit

We look for 6+ years experience in data engineering, data platforms & analytics, comfortable writing code in either Python or Scala, and working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one.

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 SparkTM 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.
• Databricks Certification

Benefits

• Comprehensive benefits and perks
• Diversity and inclusion culture
• Equal employment opportunity standards