• Define the enterprise data architecture roadmap aligned with strategic business objectives. • Champion best practices for data modelling, integration, governance, and metadata management across domains. • Design canonical data models, entity relationships, and standards for schema evolution and semantic layers. • Architect modern lakehouse platforms using Databricks, Delta Lake, and Unity Catalog. • Define ingestion and transformation patterns, including orchestration using tools such as Airflow. • Implement bronze / silver / gold layering strategies for structured, trusted, and scalable data pipelines. • Establish data lineage, quality frameworks, cataloguing, and compliance processes. • Partner with engineering teams to integrate data into microservices and operational systems. • Contribute to real-time and batch pipeline designs that support analytics and ML/AI use cases. • Define and maintain data governance principles, security standards, and access controls. • Lead adoption of Unity Catalog for centralized metadata and policy enforcement. • Mentor senior engineers and act as a thought leader, influencing architecture and best practices across teams.