Description

You will design and build data architectures supporting large-scale ML workloads and analytics systems.

Responsibilities

• Design end-to-end data pipelines in complex, regulated data environments.
• Develop data architectures specifically to support ML workloads and feature engineering.
• Engineer and implement data platform solutions using distributed compute architectures.
• Ensure data governance and security compliance within cloud platforms.

Required Skills

• 7+ years of experience in data architecture or large-scale analytics systems.
• Deep expertise with Databricks, PySpark, Spark, and Delta Lake.
• Strong knowledge of Snowflake, including data modeling and performance scaling.
• Proven ability to design data architectures for ML workloads and feature engineering.
• Strong SQL skills and experience with distributed data processing.
• Familiarity with MLOps architectures or model deployment frameworks.
• Demonstrated understanding of Azure cloud platform, IAM, and enterprise security practices.
• Experience in Data Architecture and Data Platform Engineering.

Key Skills

Education

Bachelor's degree