Delivery Consultant - Data , Professional Services, AWS Industries

About the role

The AWS Professional Services (ProServe) team is seeking a Delivery Consultant specializing in Data to join the AWS Industries practice. You will be at the center of the shift in enterprise technology toward making organizations AI-ready: every agentic AI system, every foundation model grounded in enterprise knowledge, and every GenAI application that moves from prototype to production depends on the data layer beneath it. You will design and implement modern data platforms (lake, lakehouse, mesh), architect data pipelines that transform raw, fragmented data estates into governed, AI-ready assets, and design and implement enterprise RAG architectures, vector stores, semantic ontologies, and knowledge graph architectures that allow foundation models and AI agents to reason accurately, access data securely, and execute autonomously within regulated environments. You will work hands-on inside customer environments with complex data lineage, legacy systems, and build production-grade data solutions that serve multiple downstream consumers, from ML model training to agentic orchestration layers.

The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using AWS services. They work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing and AI transformation initiatives.

This role requires approximately 50% co-location on site with customer, AWS, and partner teams within the U.S.

Key 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.

Basic qualifications

• 3+ years of cloud architecture and solution implementation experience
• Knowledge of the primary AWS services (EC2, ELB, RDS, Route 53, and 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

Preferred qualifications

• Degree in advanced technology, or AWS Professional-level certification
• Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies
• Experience and technical expertise (design and implementation) in cloud computing technologies
• Experience leading the design, development, and deployment of business software at scale or recent hands-on technology infrastructure, network, compute, storage, and virtualization experience
• Experience in performance optimization and cost management for cloud environments
• 3+ years of working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage experience

Pay

• USA, FL, Tampa — $131,300–$177,600 USD annually
• USA, GA, Atlanta — $131,300–$177,600 USD annually
• USA, IL, Chicago — $131,300–$177,600 USD annually
• USA, MN, Minneapolis — $131,300–$177,600 USD annually
• USA, NJ, Jersey City — $144,500–$195,400 USD annually
• USA, TX, Austin — $131,300–$177,600 USD annually
• USA, TX, Dallas — $131,300–$177,600 USD annually
• USA, VA, Arlington — $131,300–$177,600 USD annually
• USA, VA, Herndon — $131,300–$177,600 USD annually

The Amazon package includes sign-on payments and restricted stock units (RSUs). Final compensation is determined based on factors including experience, qualifications, and location.

Benefits

• Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance, and option for Supplemental life plans)
• Employee Assistance Program (EAP)
• Mental Health Support
• Medical Advice Line
• Flexible Spending Accounts
• Adoption and Surrogacy Reimbursement coverage
• 401(k) matching
• Paid time off
• Parental leave