Data Platform Architect – Data & AI Practice

📋 Description

• Enterprise Data Platform Architecture: Design and implement scalable, cloud-native data platforms
• Cloud Architecture and Technology Strategy: Develop enterprise data solutions primarily on AWS
• AI-Ready Data Architecture: Design data integration patterns and platform capabilities that support
• Databricks and Snowflake Solution Design: Architect modern data solutions using Databricks and
• Technical Discovery and Prototyping: Lead technical discovery sessions, architecture workshops
• Enterprise Data Modernization: Develop strategies for migrating and integrating legacy enterprise

🎯 Requirements

• Professional Experience: Extensive experience designing and implementing enterprise data platforms
• Cloud Platform Expertise: Proven experience architecting enterprise data solutions on AWS
• Databricks and Snowflake: Deep expertise in both platforms, including lakehouse architecture, data
• Generative AI Architecture: Working knowledge of modern AI-enabled data architectures, including
• Enterprise Data Management: Strong understanding of master data management, data quality
• Architecture and Engineering Skills: Ability to translate complex business requirements into

🎁 Benefits

• Permanent Employment: A full-time, permanent opportunity within a growing Data & AI practice.
• Remote Work: Remote working arrangement based in India, with Hyderabad identified as the associated
• Strategic Technical Influence: The opportunity to shape enterprise data architecture, influence
• Hands-On Innovation: Work with leading cloud data platforms and emerging AI technologies, including
• Customer Advisory Exposure: Collaborate directly with North American customers on complex
• Practice-Building Opportunities: Contribute to reusable architectures, accelerators, technical