Data Architect

Location: Dallas, TX (Hybrid - 4 Days Onsite Weekly)
Compensation: $170,000 Base Salary (flexibility for exceptional candidates) + Comprehensive Benefits Work Authorization: Candidates must be authorized to work in the U.S. now and in the future. No sponsorship or visa transfers available.

Our client, a large enterprise organization undergoing a major data modernization and AI transformation, is seeking a Principal Data Architect to help shape the future of its enterprise data ecosystem.

This is a high-impact, highly visible role offering direct exposure to executive leadership and the opportunity to influence enterprise-wide technology strategy. The successful candidate will be responsible for defining architectural roadmaps, modernizing legacy platforms, enabling AI capabilities, and guiding the organization's journey from current-state to future-state architecture.

This opportunity is ideal for someone who combines strong architectural leadership with a hands‑on data engineering background and thrives in a transformation-focused environment.

• Assess and document current-state data architecture, platforms, and integrations
• Design future-state enterprise data architecture and transformation roadmaps
• Develop architectural standards and reusable patterns for:
  • Real-time data processing
  • Streaming architectures
  • Batch data processing
  • Enterprise and consumer data platforms
• Create and maintain architecture diagrams, data flows, and implementation plans
• Partner with business and technology leaders to align architecture decisions with strategic objectives
• Support enterprise initiatives across fraud, risk, analytics, AI, and other critical business functions
• Define phased implementation strategies, including resource planning and execution sequencing
• Evaluate emerging technologies and recommend solutions based on business use cases
• Provide technical leadership and architectural guidance to engineering teams
• Participate in architecture reviews, proof of concepts, and technical solution validation

• 10+ years of experience in Data Engineering, Software Engineering, Data Architecture, or related disciplines
• Experience designing and implementing enterprise-scale data platforms and architectures
• Strong background creating technology roadmaps and leading transformation initiatives
• Ability to connect technical decisions to measurable business outcomes
• Experience operating within large, complex organizations (1,000+ employees preferred)
• Proven ability to work independently and drive initiatives with minimal oversight

• AWS Cloud
• Kafka (Confluent or Open-Source Kafka)
• Event-driven and streaming architectures
• Real-time data processing
• Batch processing frameworks
• Enterprise integration patterns
• Data architecture and platform modernization

• Snowflake
• Fivetran
• dbt
• AI/GenAI architecture and implementation

As part of the organization's technology strategy, AI will play a significant role in future-state architecture.

The ideal candidate will have exposure to:

• Retrieval-Augmented Generation (RAG)
• Large Language Model (LLM) concepts
• AI platform architecture
• Token management and optimization strategies
• AI tooling evaluation and implementation
• Use-case driven AI adoption

We're looking for someone who is naturally curious, stays current on emerging technologies, and can articulate how modern AI capabilities create business value.

• Financial Services
• Banking
• Healthcare
• Travel
• Hospitality

• Direct visibility with senior and executive leadership
• Opportunity to influence enterprise technology strategy
• Lead large-scale modernization and transformation initiatives
• Help shape the organization's AI roadmap
• Work with modern cloud, streaming, and data technologies
• Drive meaningful business outcomes and measurable change

This is an opportunity to build something transformational—not simply maintain existing systems.

• Initial Interview (45 minutes)
• Onsite Team Panel Interview
• Final Executive Interview