Description

Lead the architecture and implementation of modern data warehouse solutions using Databricks and cloud stacks.

Responsibilities

• Develop modern data warehouse solutions utilizing Databricks within AWS or Azure environments.
• Build MLOps data pipelines and implement AI/ML models for specific use cases.
• Translate customer business requirements into technical architectures and drive technical discussions with client architects.
• Coordinate technical delivery between onsite and offshore teams.
• Apply data classification and profiling techniques to support MLOps initiatives.

Required Skills

• 5+ years of experience in customer-facing technical architecture or consulting roles.
• Hands-on expertise with Databricks and Delta Lake for analytical data lake use cases.
• Proficiency in Python and PySpark.
• Strong experience with SQL and relational databases.
• Experience building and implementing MLOps data pipelines and AI/ML models.
• Practical knowledge of data classification and data profiling for MLOps.
• Experience working with AWS or Azure cloud stacks.
• Domain knowledge in banking, specifically regarding card and payment systems.

Preferred Skills

• Bachelor's degree in any field.

Key Skills

Education

ANY GRADUATE