Data Architect Consultant Role

Data Architect - Consultant Role

Role Overview

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:

o AWS: S3 Glue Lake Formation Redshift EMR IAM

o Microsoft Fabric: Data Factory Lakehouse Warehouse Real Time Analytics

o Microsoft Purview: Catalog Lineage Glossary

o Ataccama: DQ MDM/RDM profiling

Deep understanding of metadata standards lineage frameworks DQ methodologies MDM/RDM.

Experience designing event driven and API first architectures