Data & Ai Platform Architect (professional Services)
Databricks Lakehouse
Amsterdam, Netherlands
Not specified; not specified; comprehensive benefi...
On-site
Extensive experience in data engineering
Comfortable writing code in python or scala
Working knowledge of two or more cloud ecosystems
Databricks is seeking a Data & AI Platform Architect for its Professional Services team in Amsterdam. The role requires expertise in data engineering, cloud technologies, and customer engagement, focusing on helping clients maximize the value of their data through the Databricks platform
Job Summary
You will work on a variety of impactful customer technical projects which may include designing and building reference architectures and creating how-to's.
The role involves guiding strategic customers as they implement transformational big data projects, including end-to-end design, build, and deployment of industry-leading applications.
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.
Matching Summary
Match Score: 85
Databricks is seeking a Data & AI Platform Architect for its Professional Services team in Amsterdam. The role requires expertise in data engineering, cloud technologies, and customer engagement, focusing on helping clients maximize the value of their data through the Databricks platform.
Salary
Not specified; Not specified; Comprehensive benefits and perks offered
Skills & Requirements
Must-have
Extensive experience in data engineering
Comfortable writing code in Python or Scala
Working knowledge of two or more cloud ecosystems
Deep experience with Apache Spark runtime internals
Experience with technical project delivery
Nice-to-have
Familiarity with CI/CD for production deployments
Working knowledge of MLOps practices
Strong documentation and white-boarding skills
Experience working with clients and managing conflicts
Databricks Certification preferred
Key Requirements
Extensive experience in data platforms & analytics
Expertise in at least one cloud ecosystem (AWS, Azure, GCP)
Knowledge of Spark runtime internals
Experience with technical project delivery managing scope and timelines