AI-Ready Data Platform Architect

Amazon Web Services (AWS); Arlington (VA); On-site; USD 131,000 - 178,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Flexible Spending Accounts

Job summary

Amazon Web Services, Inc. in Arlington, VA is seeking a Delivery Consultant for the Global Financial Services Practice to design and implement modern data platforms, data pipelines, and knowledge architectures that enable AI-ready enterprises.

You will work hands-on with customer environments, transforming raw data into governed assets while collaborating with cross-functional teams. The role emphasizes autonomy in fast-moving engagements, experience with AWS services, and building scalable data

Qualifications

• 3+ years of cloud architecture and solution implementation experience.
• Knowledge of the primary AWS services (EC2, ELB, RDS, Route 53 & S3).
• Experience implementing AWS services in a variety of distributed computing environments.
• Bachelor's degree in business administration, finance, economics, computer science, data science, engineering, or other related field.
• Experience with data modeling, warehousing and building ETL pipelines.

Responsibilities

• Design and implement production-grade data pipelines, data lakes, lakehouses, and data mesh architectures within enterprise environments, integrating with legacy systems and existing data governance frameworks
• Build data products that serve multiple downstream applications and use cases - from AI/ML model training to agentic AI systems, ensuring data quality, lineage, and reliability at scale
• Operate with a high degree of autonomy within fast-moving delivery engagements, making judgment calls on data modeling, pipeline design, and architecture without waiting for perfect specifications or constant oversight
• Navigate complex data access, security, and privacy requirements
• Architect contextual knowledge layers, including ontologies and knowledge graphs leveraging AWS Context, Amazon Bedrock Knowledge Bases, and custom ontology extensions to equip AI agents with the vocabulary and guardrails to reason accurately and execute autonomously within regulated environments
• Collaborate across organizational boundaries to secure data access, understand source system context, and resolve data quality challenges with teams across customer IT, business, and partner organizations
• Deliver iteratively when requirements are ambiguous, translating incomplete business needs into well-architected data solutions that can evolve as customer understanding matures
• Apply AI-DLC (AI-accelerated Development Life Cycle) methodologies to data delivery to redesign data workflows to become AI-native for accelerated scale and pace

Skills

Cloud architecture

Data modeling

ETL pipelines

Distributed computing

Education

Bachelor's degree (related field)

Tools

AWS services (EC2, ELB, RDS, Route53, S3)

Job description

Amazon Web Services, Inc. in Arlington, VA is seeking a Delivery Consultant for the Global Financial Services Practice to design and implement modern data platforms, data pipelines, and knowledge architectures that enable AI-ready enterprises.

You will work hands-on with customer environments, transforming raw data into governed assets while collaborating with cross-functional teams. The role emphasizes autonomy in fast-moving engagements, experience with AWS services, and building scalable data