AWS Data Architect: AI-Powered Data Platform Lead

BOK Financial Corporation; Dallas (TX); On-site; USD 150,000 - 190,000; Full time

Job summary

BOK Financial Corporation is seeking a Senior Data Architect to lead the strategy, design, and implementation of our data infrastructure on AWS. The role focuses on translating business outcomes into technical architecture, enabling automation, and shaping data integration patterns across use cases.

This position will drive the transition toward a scalable data ecosystem with advanced AI components. The ideal candidate brings extensive experience in data architecture, cloud data platforms, and

Qualifications

• Bachelor’s degree in information systems, data analytics or a related field.
• 15+ years of experience in a data discipline such as developing and implementing data framework, reference models, or data modeling.
• TOGAF certification (or similar framework) required.

Responsibilities

• Document current and target state data architectures, including interim states and migration roadmaps using AWS and other tools.
• Present strategic execution options that weigh business impact, cost, risk, and timelines.
• Align data initiatives with business goals to deliver measurable outcomes like improved customer experience and faster time-to-market.
• Create and maintain robust reference architectures for batch, near-real-time, and real-time data flows.
• Architect and implement scalable, low-latency data pipelines using Apache Kafka.
• Integrate advanced AI architectures such as vector databases, MCP, and RAG to enhance data processing and retrieval.

Skills

Data architecture

AWS

Kafka

AI architectures

Leadership

Education

Bachelor’s Degree in information systems, data analytics or a related field

TOGAF certification

Job description

BOK Financial Corporation is seeking a Senior Data Architect to lead the strategy, design, and implementation of our data infrastructure on AWS. The role focuses on translating business outcomes into technical architecture, enabling automation, and shaping data integration patterns across use cases.

This position will drive the transition toward a scalable data ecosystem with advanced AI components. The ideal candidate brings extensive experience in data architecture, cloud data platforms, and