Job Summary:
We are seeking an experienced Databricks Architect to design and implement robust data architecture solutions. The ideal candidate will have deep expertise in Databricks Unity Catalog, MLflow, and Databricks ML modules.
Key Responsibilities:
Design and implement scalable data architecture solutions using Databricks.
Implement and manage Databricks Unity Catalog for metadata management.
Implement and manage Databricks MLflow for machine learning lifecycle management.
Develop and deploy machine learning models using Databricks ML modules.
Collaborate with data scientists, engineers, and analysts to deliver data-driven solutions.
Technical Skills:
Hands-on experience with Databricks platform, including Unity Catalog, MLflow, and ML modules.
Strong understanding of data engineering principles and practices.
Knowledge of machine learning concepts and algorithms.
Proficiency in Python, Scala, or R.
Understanding of data governance principles and best practices.
Experience Required:
9+ years of experience in data architecture, engineering, and analytics.
Proven expertise in designing and implementing data solutions using Databricks.