Delivery Consultant - Data , Professional Services, AWS Industries

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

Job summary

Amazon Web Services, Inc. is seeking a Delivery Consultant specialized in Data to join our AWS Industries practice.

You will design and implement production-grade data pipelines, data lakes, lakehouses, and data mesh architectures within enterprise environments, enabling AI-ready deployments and robust data governance. This role requires approximately 50% co-location on site with customer and AWS teams within the U.S.

Qualifications

• 3+ years of cloud architecture and solution implementation experience.
• Knowledge of the primary AWS services (EC2, ELB, RDS, Route53 & S3).
• Experience implementing AWS services in distributed computing environments.

Responsibilities

• Design and implement production-grade data pipelines, data lakes, lakehouses, and data mesh architectures within enterprise environments.
• Build data products that support AI/ML model training and agentic AI systems, ensuring data quality and lineage at scale.
• Operate with autonomy in fast-moving delivery engagements and make design decisions without constant oversight.
• Navigate data access, security, and privacy requirements in pharma and healthcare (HIPAA, GxP, regulatory governance).
• Architect contextual knowledge layers (ontologies, knowledge graphs) using AWS Context and Bedrock Knowledge Bases.
• Collaborate across teams to secure data access and resolve data quality challenges in customer environments.
• Deliver iteratively when requirements are ambiguous, converting business needs into scalable data solutions.
• Apply AI-DLC methodologies to redesign data workflows for AI-native scale.

Skills

Cloud architecture

AWS services knowledge

Solution implementation

Job description

Description

The Amazon Web Services Professional Services (ProServe) team is seeking a Delivery Consultant specializing in Data to join our AWS Industries practice. You will be at the center of the most consequential shift in enterprise technology: making organizations truly 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 - and that's what you build.

Description

The Amazon Web Services Professional Services (ProServe) team is seeking a Delivery Consultant specializing in Data to join our AWS Industries practice. You will be at the center of the most consequential shift in enterprise technology: making organizations truly 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 - and that's what you build.

About The Team

ABOUT AWS:

Diverse Experiences

Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Inclusive Team Culture

AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.

Mentorship and Career Growth

We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Key job 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 unique to pharma and healthcare including GxP compliance constraints, HIPAA, and regulatory data governance frameworks
• 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

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

10044

Basic Qualifications

• 3+ years of cloud architecture and solution implementation experience
• Knowledge of the primary aws services (ec2, elb, rds, route53 & s3)
• Experience implementing AWS services in a variety of distributed computing environments

Preferred Qualifications

• 5+ years of IT implementation experience
• degree in advanced technology, or AWS Professional level certification
• Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies
• Knowledge of security and compliance standards including HIPAA and GDPR
• 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
• Experience presenting technical solutions to diverse audiences in pre-sales environments

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, FL, Tampa - 131,300.00 - 177,600.00 USD annually

USA, GA, Atlanta - 131,300.00 - 177,600.00 USD annually

USA, IL, Chicago - 131,300.00 - 177,600.00 USD annually

USA, MN, Minneapolis - 131,300.00 - 177,600.00 USD annually

USA, NJ, Jersey City - 144,500.00 - 195,400.00 USD annually

USA, TX, Austin - 131,300.00 - 177,600.00 USD annually

USA, TX, Dallas - 131,300.00 - 177,600.00 USD annually

USA, VA, Arlington - 131,300.00 - 177,600.00 USD annually

USA, VA, Herndon - 131,300.00 - 177,600.00 USD annually

Company

Amazon Web Services, Inc.

Job ID: A10524343