AWS Data Architect - Enterprise-Scale Cloud & AI Data Strategy

Harnham; Richardson (TX); On-site; USD 130,000 - 190,000; Full time

Job summary

Harnham is seeking an AWS Data Architect to lead the evolution of a cloud data strategy within a large enterprise. You will shape current and future-state data architectures, drive modernization, and partner with senior leaders to deliver scalable, real-time data platforms leveraging AWS-native services and AI capabilities.

You will guide strategic roadmaps, mentor technical teams, and establish patterns that accelerate delivery while ensuring governance, security, and quality across the

Qualifications

• Bachelor's degree in Information Systems, Computer Science, Data Analytics, Engineering, or a related discipline.
• 15+ years of experience designing and delivering enterprise data solutions and modern data architectures.
• Deep expertise building cloud-native platforms within AWS.
• Proven experience developing data frameworks, reference architectures, operating models, and enterprise-scale integration patterns.
• Strong experience with streaming architectures, data modeling, and modern data platform design.
• Demonstrated success leading large-scale modernization and transformation initiatives.
• Familiarity with emerging AI architectures, including Agentic AI, vector databases, MCP, and RAG frameworks.
• Experience influencing senior stakeholders and leading enterprise architecture decisions.
• TOGAF certification or equivalent enterprise architecture framework experience preferred.

Responsibilities

• Define current-state, future-state, and transitional data architectures supporting long-term objectives.
• Develop strategic roadmaps balancing business value, risk, investment and speed to market.
• Partner with business and technology leaders to translate priorities into scalable architecture solutions.
• Design modern data platforms supporting batch, near real-time, and real-time processing.
• Build and optimize cloud-native data integration across diverse sources.
• Architect resilient, high-performance streaming platforms using Kafka and AWS services.
• Incorporate AI capabilities (vector databases, MCP, RAG) to unlock new opportunities.
• Champion infrastructure automation, CI/CD pipelines, and reusable patterns.
• Drive data governance, security, quality, and lifecycle management enterprise-wide.
• Provide architectural leadership, mentoring, and foster a culture of innovation.

Skills

Enterprise architecture

AWS cloud

Data architectures

AI capabilities

Leadership

Cloud-native modernization

Event-driven architectures

Education

Bachelor's degree in Information Systems, Computer Science, Data Analytics, Engineering, or related field

Tools

Apache Kafka

Vector Databases

RAG

MCP

Agentic AI frameworks

Job description

Harnham is seeking an AWS Data Architect to lead the evolution of a cloud data strategy within a large enterprise. You will shape current and future-state data architectures, drive modernization, and partner with senior leaders to deliver scalable, real-time data platforms leveraging AWS-native services and AI capabilities.

You will guide strategic roadmaps, mentor technical teams, and establish patterns that accelerate delivery while ensuring governance, security, and quality across the