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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Delivery Consultant - Data , Professional Services, AWS Industries - **Company:** Amazon.com, Inc. - **Location:** Chicago, IL, United States - **Experience:** Experienced - **Salary:** $131,300.0 - $177,600.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, Business Software, Cloud Computing, Cloud Engineering, Databases, Data Governance, Data Security, Data Systems, Distributed Systems, Graph Database, Machine Learning, Performance Tuning, Software Engineering, Product Software Implementation Methods, Systems Integration, Cloud Platform System, Data Lakes, Route53, Data Delivery, Data Pipelines, Serverless Computing, GXP, Legacy Systems - **Published:** September 12, 2026 - **Apply:** https://dejobs.org/x/x/F446A34ECF564CEF9E59AD03A219BE99/job/ ## About the Role * 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, * 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 ## Description * 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 ## Related Videos - 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