The Data Architect will define, enhance, and govern enterprise data architecture standards across AWS, Microsoft Fabric, Purview, and Ataccama. This consultant will create scalable blueprints, reusable patterns, and integration frameworks that ensure interoperability, metadata consistency, lineage completeness, and data quality across all domains. The role partners closely with domain teams and platform engineering to accelerate delivery while maintaining architectural integrity.
Key Responsibilities
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 Review
Guide 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.
Qualifications
Technical Expertise
8–12+ years in data architecture, data engineering, or data governance.
Strong hands‐on expertise in:
AWS: S3, Glue, Lake Formation, Redshift, EMR, IAM
Microsoft 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.
