Data & AI Platform Architect (Professional Services)
Databricks(7 days ago)
About this role
A Data & AI Platform Architect in the Professional Services team works with clients on big data and AI projects using the Databricks platform. The role involves designing, building, and deploying data solutions, guiding customer implementations, and supporting project delivery to maximize value from data platforms.
Required Skills
- Python
- Scala
- Apache Spark
- Cloud Computing
- Data Engineering
- Data Architecture
- MLops
- Data Science
- Reference Architecture
- DevOps
About Databricks
databricks.comDatabricks is a unified Data Intelligence Platform that helps organizations build, deploy, and manage data, analytics, and AI at scale. Built on Apache Spark and Delta Lake, it provides a “lakehouse” architecture that combines data engineering, ETL, data warehousing, streaming, and machine learning (including MLflow and feature store) in a single managed service. The platform includes collaborative notebooks, scalable compute across major clouds, and built‑in governance, security, and performance optimizations. Enterprises use Databricks to simplify data pipelines, accelerate model development with a data‑centric approach, and operationalize analytics and AI.
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