Data & AI Platform Architect (Professional Services)
Core
Designing and building reference architectures, creating how-to's, and productionalizing customer use cases for big data and AI applications using the Databricks platform.
Role type
Senior Solutions Architect (Data & AI Platform)
Builds
End-to-end data architectures, big data and AI applications, and Databricks-based solutions for enterprise clients.
Domain
Data Engineering, Big Data, Cloud Computing, AI/ML
Deliverable
production ML models | product features
Required skills
Data engineering, distributed computing with Apache Spark, Python or Scala, Cloud ecosystems (AWS/Azure/GCP), CI/CD, MLOps, technical project delivery, documentation, client management
Preferred skills
Databricks Certification, white-boarding, conflict resolution
Technologies
Databricks, Apache Spark, Delta Lake, MLflow, AWS, Azure, GCP
Responsibilities
Design and build reference architectures; scope professional services work with engagement managers; guide strategic customers on transformational big data projects; consult on architecture and design; provide escalated support for operational issues; collaborate with technical teams to deliver engagement components; provide product and implementation feedback.
Seniority
Senior, hands-on IC
