Enterprise Data Architect

Mindfore Technologies; United States; On-site; Full time

Job summary

A tech consulting company is seeking an experienced Enterprise Data Architect for a remote position. The role involves assessing data landscapes, designing comprehensive architectures, and establishing standards for data modeling and integration. Candidates must have a strong customer experience mindset, as well as the ability to collaborate with various stakeholders. This contract is for a duration of 12+ months, focusing on aligning data architecture with key reporting and analytics needs.

Qualifications

• Experience in assessing current-state data landscape across systems.
• Ability to design comprehensive end-to-end data architecture.
• Proficiency in creating logical and physical data flow diagrams.

Responsibilities

• Assess current-state data landscape across source systems.
• Design end-to-end data architecture for reporting and analytics.
• Establish data modeling standards and architectural guardrails.
• Recommend scalable architecture based on business use cases.

Skills

Data architecture design

Cloud-aligned architecture

Data modeling standards

Collaboration with stakeholders

Risk identification

Job description

Overview

Job Title: Enterprise Data Architect Location: Remote Duration: 12+ Months Customer Experience mindset is must

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).