Senior Data Architect - Financial Services Consultant

Data Architect — Consultant (Financial Services)

Location: Fully Remote (U.S. only)

Work Hours: EST business hours

Duration: 12+ month consulting engagement

Compensation: Open, based on experience

Industry: Financial Services

Role Overview

We are seeking a senior Data Architect to define, enhance, and govern enterprise data architecture standards across AWS, Microsoft Fabric, Microsoft Purview, and Ataccama. This consultant will design scalable architecture blueprints, reusable patterns, and integration frameworks that ensure interoperability, metadata consistency, lineage completeness, and high data quality across enterprise domains. The role partners closely with domain teams and platform engineering to accelerate delivery while maintaining architectural integrity and governance.

Key Responsibilities

Architecture Standards & Governance

• Define and maintain conceptual, logical, and physical data modeling standards
• Establish enterprise metadata, lineage, and data quality standards across Purview, Ataccama, Fabric, and AWS Glue
• Set API, event, and integration contract standards for cross-domain data exchange
• Enforce alignment with enterprise governance, security, and compliance principles

Blueprints & Reference Architecture

• Build and maintain unified enterprise data architecture blueprints
• Create domain data flow diagrams, cross-domain interaction models, and canonical architecture patterns
• Align AWS, Azure, Microsoft Fabric, and on-prem ecosystems within a cohesive architectural framework

Reusable Patterns & Engineering Enablement

• Develop reusable architecture patterns across AWS and Azure/Microsoft Fabric platforms
• Design event-driven, API-driven, batch, and ML/AI-ready data architectures
• Provide templates for data contracts, schema evolution, and data-sharing interfaces

Metadata, Lineage & Data Quality Integration

• Define integration patterns across Purview, Ataccama, Fabric OneLake catalog, and AWS Glue Catalog
• Ensure architectures embed security, observability, monitoring, and operational resiliency

Domain Engagement & Architecture Review

• Guide domain teams in implementing target-state data architectures
• Lead or participate in architecture reviews to ensure alignment with enterprise standards
• Identify modernization opportunities and influence strategic data architecture direction

Qualifications

Technical Experience

• 8–12+ years of experience in data architecture, data engineering, or data governance
• Strong hands-on expertise with:
• AWS: S3, Glue, Lake Formation, Redshift, EMR, IAM
• Microsoft Fabric: Data Factory, Lakehouse, Warehouse, Real-Time Analytics
• Microsoft Purview: Catalog, Lineage, Glossary
• Ataccama: Data Quality, MDM/RDM, profiling
• Deep understanding of metadata management, lineage frameworks, data quality methodologies, and MDM/RDM
• Proven experience designing event-driven and API-first data architectures