Description

Lead the architecture and implementation of modern data warehouse solutions using Databricks and cloud stacks. You will translate customer business requirements into technical architectures and drive technical discussions with client architects.

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.
• Coordinate technical delivery between onsite and offshore teams.
• Apply data classification and profiling techniques to support MLOps initiatives.
• Drive technical discussions with client architects and internal team members.

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