Delivery Consultant - Data , Professional Services, AWS Industries

Amazon Web Services, Inc. is hiring a Delivery Consultant specializing in Data for its AWS Industries Professional Services practice. The role designs and implements production-grade data platforms, pipelines, and contextual knowledge layers that support AI-ready enterprise data and customer cloud and AI transformation initiatives.

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

Preferred

• 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
• Advanced Technology Degree
• AWS Professional Certification
• AWS Services
• Cloud Computing
• Cloud Solution Design
• Cloud Implementation
• Business Software Development
• Large-Scale Software Deployment
• Technology Infrastructure
• Network Infrastructure
• Compute Infrastructure
• Storage Infrastructure
• Virtualization
• Cloud Performance Optimization
• Cloud Cost Management
• Artificial Intelligence
• Machine Learning
• Generative AI
• Database Technologies
• Storage Technologies
• Serverless Technologies
• Cloud Security
• Technical Leadership

Benefits

• Sign-on payments
• Restricted stock units (RSUs)
• 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
• Parental leave
• Flexibility as part of our working culture
• Employee-led and company-sponsored affinity groups
• Inclusion events
• Knowledge-sharing, mentorship and other career-advancing resources

Company

• Online retail and cloud computing services
• Seattle, Washington, USA
• https://amazon.com/
• Founded in 1994
• 10001+ employees

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
• 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
• 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

Required skills

• Cloud Architecture, AWS EC2, AWS ELB, AWS RDS, AWS Route 53, AWS S3, Distributed Computing, Data Modeling, Data Warehousing, ETL Pipelines, Cloud Computing, AI/ML, Generative AI, Database Technologies, Cloud Performance Optimization

Experience

• 3+ years