Description

Responsibilities:

• Own and lead the end-to-end solution design for enterprise data projects using Teradata platforms.
• Develop, optimize, and automate data transformation and management processes using Python scripting.
• Collaborate with cross-functional teams to define architecture strategies and ensure best practices.
• Provide expert guidance on Teradata Vantage and other modern platform features.
• Lead the implementation of high-performance data solutions, ensuring scalability, security, and maintainability.
• Document solution architecture, design standards, and best practices.
• Stay updated with the latest trends and features in Teradata and related technologies.

Requirements:

• Architect-level experience with documented solution design ownership in large-scale data environments.
• Proven hands-on experience in Python scripting for automation, data transformation, and orchestration.
• Strong experience with Teradata Vantage or similar modern data platforms.
• Teradata certification (preferably) to validate expertise.
• In-depth knowledge of database architecture, SQL optimization, and data modeling.
• Excellent problem-solving and communication skills.
• Ability to work independently and lead architectural discussions.
• Experience with QueryGrid, NOS, and ClearScape Analytics (added advantage).
• Prior experience with cloud integrations and hybrid data environments.
• Knowledge of DevOps practices in data engineering

Key Skills

Education

Bachelor's degree