Description

You will lead the development of modern data warehouse solutions and technical architecture for client projects. You will translate customer business requirements into technical architectures and coordinate delivery between onsite and offshore teams.

Responsibilities

• Develop modern data warehouse solutions using Databricks and AWS/Azure stacks.
• Drive technical discussions with client architects and engineering teams.
• Build MLOps data pipelines and implement AI/ML models for specific use cases.
• Coordinate delivery between onsite and offshore teams.
• Translate customer business requirements into technical architectures.

Required Skills

• 5+ years of experience in a customer-facing technical architecture or consulting role.
• Expertise in Databricks and Delta Lake for analytical data lake use cases.
• Proficiency in Python, PySpark, and SQL.
• Hands-on experience with AWS or Azure cloud stacks.
• Experience developing, training, and implementing AI/ML models.
• Competency in relational databases, including data classification and profiling for MLOps.
• Domain knowledge in banking, specifically within card and payment sectors.
• Any graduate degree.

Key Skills

Education

ANY GRADUATE