AWS Data Architect

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

Are you an architect who thrives on transforming complex data ecosystems into modern, intelligent platforms? We are partnering with a highly respected enterprise organization seeking a visionary AWS Data Architect to lead the evolution of its next-generation cloud data strategy.

This is a high-impact opportunity for an experienced architect who enjoys operating at both the strategic and technical levels, influencing enterprise-wide decisions, designing scalable cloud-native solutions, and leveraging emerging AI capabilities to create measurable business value.

You will play a pivotal role in defining the future-state architecture of a rapidly evolving data environment, driving modernization initiatives, and introducing innovative approaches that enable faster decision-making, improved customer experiences, and accelerated delivery across the organization.

Why This Opportunity Stands Out

• Own the vision and roadmap for a large-scale AWS data ecosystem.
• Influence executive-level technology strategy and architectural direction.
• Drive cloud-native modernization initiatives from concept through execution.
• Work with cutting-edge technologies including Agentic AI, Vector Databases, Retrieval-Augmented Generation (RAG), and Model Context Protocol (MCP).
• Build scalable, event-driven architectures utilizing real-time and streaming technologies.
• Establish enterprise architecture patterns that accelerate engineering productivity and innovation.
• Lead and mentor high-performing technical teams while shaping best practices across the organization.

What You\'ll Be Doing

• As the AWS Data Architect, you will serve as a trusted advisor and strategic leader responsible for designing and guiding the organization\'s data transformation journey.
• Key responsibilities include:

• Defining current-state, future-state, and transitional data architectures that support long-term business objectives.
• Developing strategic roadmaps that balance business value, risk, investment, and speed to market.
• Partnering with business and technology leaders to translate organizational priorities into scalable architecture solutions.
• Designing modern data platforms that support batch, near real-time, and real-time processing.
• Building and optimizing cloud-native data integration patterns across diverse source systems and applications.
• Architecting resilient, high-performance streaming platforms leveraging Apache Kafka and AWS-native services.
• Incorporating advanced AI capabilities including vector databases, Agentic AI frameworks, MCP, and RAG architectures to unlock new business opportunities.
• Championing infrastructure automation, CI/CD pipelines, and reusable architectural patterns that improve consistency and delivery velocity.
• Driving enterprise-wide best practices around data governance, security, quality, and lifecycle management.
• Providing architectural leadership, mentoring technical teams, and fostering a culture of innovation and continuous improvement.

Team Environment

You\'ll join a highly collaborative, solution-oriented technology team that values innovation, knowledge sharing, and collective success. Team members are empowered to challenge conventional thinking, exchange ideas openly, and work together to solve complex business and technical challenges.

The culture encourages:

• Continuous learning and experimentation
• Cross-functional collaboration
• Technical excellence
• Mentorship and professional growth
• Innovation through emerging technologies

What We\'re Looking For

Successful candidates will bring a blend of enterprise architecture expertise, cloud transformation experience, and a passion for modern data and AI technologies.

Preferred 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.

Ideal Candidate Profile

We\'re seeking a strategic architect who is excited by transformation, energized by innovation, and motivated by the opportunity to build what comes next. This individual combines deep technical expertise with business acumen, communicates effectively with executive stakeholders, and enjoys mentoring teams while delivering meaningful outcomes at enterprise scale.

Desired Skills and Experience

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.

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