Data & AI Platform Architect (professional Services)

Databricks Databricks · Data AI · Amsterdam, Netherlands · Professional Services Operations

This role is for a Data & AI Platform Architect within Professional Services, focusing on customer engagements using the Databricks platform. Responsibilities include designing and building data engineering, data science, and cloud technology projects, providing architectural guidance, and ensuring successful adoption of Databricks solutions. The role requires strong data engineering, distributed computing (Spark), and cloud ecosystem experience, with familiarity in MLOps and CI/CD.

What you'd actually do

  1. 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
  2. Work with engagement managers to scope variety of professional services work with input from the customer
  3. Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
  4. Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
  5. Provide an escalated level of support for customer operational issues.

Skills

Required

  • Extensive 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.

Nice to have

  • Databricks Certification

What the JD emphasized

  • customer technical projects
  • big data projects
  • big data and AI applications
  • customer projects
  • customer operational issues
  • customer projects
  • customer projects
  • customer projects

Other signals

  • customer-facing
  • professional services
  • big data challenges
  • Databricks platform
  • data engineering
  • data science
  • cloud technology projects
  • training
  • productionalizing customer use cases
  • design and build
  • deployment
  • big data and AI applications
  • architecture and design
  • technical project delivery
  • MLOps
  • end-to-end data architectures