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Data & AI Platform Architect (Professional Services)

Paris, France💼 Full-time🗓 2026-06-04 → 2026-07-31

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

Rewrite
## Responsibilities - Work with clients on short to medium-term customer engagements on their big data challenges using the Databricks platform. - Provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers get most value out of their data. - 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. - Consult on architecture and design; bootstrap or implement customer projects which leads to a customer's successful understanding, evaluation and adoption of Databricks. - Provide an escalated level of support for customer operational issues. - Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. - Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. ## 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 to complete customer projects. - Travel to customers 20% of the time. - Databricks Certification. ## Nice to Have - N/A ## Benefits - At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click [link].
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