> Markdown version of [/jobs/ext/4087832-senior-delivery-consultant-data-professional-services-aws-industries](https://www.wearedevelopers.com/jobs/ext/4087832-senior-delivery-consultant-data-professional-services-aws-industries). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Delivery Consultant - Data , Professional Services, AWS Industries - **Company:** Amazon.com, Inc. - **Location:** New York, NY, United States - **Experience:** Expert - **Salary:** $153,600.0 - $228,600.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Cloud Engineering, Databases, Data Infrastructure, Graph Database, Apache Hadoop, Machine Learning, NoSQL, Performance Tuning, SQL Databases, Cloud Platform System, Retrieval-Augmented Generation, Large Language Models, Apache Spark, Agentic-AI, Data Layers, Data Lineage, Apache Kafka, Data Pipelines, Serverless Computing, Legacy Systems - **Published:** October 14, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=0c6fadd27dd2d02c ## About the Role * 5+ years of cloud architecture and solution implementation experience * Bachelor's degree, or 7+ years of professional or military experience * 7+ years of technical specialist, design and architecture experience * 5+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience * 7+ years of consulting, design and implementation of serverless distributed solutions 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 in performance optimization and cost management for cloud environments * Experience communicating technical concepts to diverse audiences in pre-sales environments ## Description The Amazon Web Services Professional Services (ProServe) team is seeking a Delivery Consultant specializing in Data to join AWS Industries (AWSI). 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. 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 enterprise customer environments with complex data lineage, regulatory and compliance overlays, and legacy systems, and ship production-grade data products 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. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing and AI transformation initiatives., As an experienced technology professional, you will be responsible for: 1. Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs 2. Providing technical guidance and troubleshooting support throughout project delivery 3. Collaborating with stakeholders to gather requirements and propose effective migration strategies 4. Acting as a trusted advisor to customers on industry trends and emerging technologies 5. Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts