Enterprise Data Architect

Key Responsibilities

• Assess current-state data landscape across source systems, integration layers, and consuming applications.
• Design end-to-end data architecture showing how data flows from operational systems to analytics and business consumption layers.
• Define target-state architecture for a mid-size consumer finance environment (~2TB data footprint).
• Create logical and physical data flow diagrams, including ingestion, transformation, storage, and consumption patterns.
• Establish data modeling standards, integration patterns, and architectural guardrails.
• Recommend scalable, cloud-aligned architecture (batch and real-time) based on business use cases.
• Collaborate with business, engineering, and product stakeholders to align architecture with key reporting and analytics needs.
• Identify risks, technical debt, and opportunities for simplification or modernization.
• Produce clear architecture artifacts (reference architecture, data flow maps, and migration roadmap).