Data Architect

AWS: S3, Glue, Lake Formation, Redshift, EMR, IAMMicrosoft Fabric: Data Factory, Lakehouse, Warehouse, Real-Time Analytics Microsoft Purview: Catalog, Lineage, Glossary Ataccama: DQ, MDM/RDM, profiling Deep understanding of metadata standards, lineage frameworks, DQ methodologies, MDM/RDM.Experience designing event-driven and API-first architectures.

Architecture Standards & Governance: Define and maintain standards for conceptual, logical, and physical data models. Establish enterprise metadata, lineage, and data quality standards across Purview, Ataccama, Fabric, and AWS Glue. Set API/event/Integration contract standards for cross-domain data exchange. Enforce conformance to enterprise governance and security principles.

Blueprints & Reference Architecture: Build and maintain unified enterprise data architecture with blueprints. Create domain data flow maps, cross-domain interaction diagrams, and canonical patterns. Align AWS, Azure, Fabric, Cloud, On-prem ecosystems under a unified architectural framework.

Reusable Patterns & Engineering Enablement: Develop reusable patterns for AWS (Glue, EMR, Redshift, IAM, S3), Azure/Fabric (Container Services, Functions, Data Factory, Lakehouse, Warehouse).Design event-driven, API-driven, batch, and ML/AI-ready architecture patterns. Provide templates for data contracts, schema evolution, and data-sharing interfaces.

Metadata, Lineage & Data Quality Integration: Define integration patterns for Purview, Ataccama, Fabric OneLake catalog, and AWS Glue Catalog. Ensure patterns embed security, observability, monitoring, and operational resiliency. Domain Engagement & Architecture ReviewGuide domain teams in implementing target-state architectures. Lead or participate in architecture reviews to ensure alignment with enterprise blueprint. Recommend modernization opportunities and influence strategic architecture direction.