Principal Data AI Solutions Architect, AWS Industries, Telco
Amazon - Chicago, IL
posted 3 months ago
About the position
Amazon Web Services (AWS) is seeking experienced and motivated Data and AI Solutions Architects to partner with enterprise customers in their journey to become data-driven organizations. In this highly technical and customer-facing role, you will engage directly with customers to understand their business drivers, assess data and analytics needs, and design reliable, cost-effective, and scalable cloud architectures on AWS for data, analytics, and AI workloads. As a trusted customer advocate, you will help organizations understand best practices around advanced data, analytics, and AI solutions on the cloud. You will provide strategic guidance on migrating existing data and analytics workloads to the cloud, as well as implementing new AI and machine learning models. You will build deep relationships with senior technical leaders and data stakeholders to enable them as cloud advocates within their companies. A core responsibility is educating customers on the value proposition of AWS's data, analytics, and AI services through training sessions, deep architectural discussions, and cloud acceleration programs. You will drive revenue growth by formulating and executing sales strategies in partnership with the AWS Sales team, focusing on data, analytics, and AI opportunities. This involves mobilizing internal AWS resources and the partner ecosystem to ensure successful implementation of data platforms, analytics solutions, and AI/ML models on AWS. Additionally, you will capture and share best practice knowledge across AWS, including authoring customer-facing content like whitepapers and blog posts. The ideal candidate has a passion for cloud computing and data-driven technologies, with a proven track record in data engineering, data architecture, analytics, or AI/ML solutions. You must be broadly competent across data platforms, data engineering, analytics, and machine learning, with deep expertise in at least two of these areas. The ability to connect data, analytics, and AI solutions to measurable business value is critical. Strong interpersonal skills are required to effectively communicate with all customer stakeholders, including data engineers, data scientists, analysts, and business leaders.
Responsibilities
- Engage directly with customers to understand their business drivers and assess data and analytics needs.
- Design reliable, cost-effective, and scalable cloud architectures on AWS for data, analytics, and AI workloads.
- Educate customers on best practices for cloud-based data, analytics, and AI solutions.
- Drive revenue growth by formulating and executing sales strategies in partnership with the AWS Sales team.
- Mobilize internal AWS resources and the partner ecosystem for successful implementation of data platforms, analytics solutions, and AI/ML models on AWS.
- Capture and share best practice knowledge across AWS, including authoring customer-facing content like whitepapers and blog posts.
- Build deep relationships with senior technical leaders and data stakeholders to enable them as cloud advocates.
- Influence cloud services roadmap for data, analytics, and AI by acting as a liaison between customers and service engineering teams.
Requirements
- 10+ years experience in data and analytics technology domain areas, including data engineering, data modeling, data warehousing, and data visualization.
- Proven experience in software development, cloud computing, and systems engineering, with a focus on designing and implementing data and AI solutions.
- Comprehensive knowledge of database design and implementation, including relational and non-relational databases, data lakes, and data warehousing solutions.
- Hands-on experience with data science, machine learning, and artificial intelligence techniques, algorithms, and tools.
Nice-to-haves
- Experience in designing and implementing distributed data systems, including big data platforms, data lakes, and streaming data architectures.
- Experience in developing and evangelizing end-to-end technology roadmaps and solutions that guide IT transformations toward cloud computing and data/AI adoption.
- AWS Certified Data Analytics - Specialty or similar cloud data/AI certification.
- Experience in cloud architecture and CXO-level engagement, with a proven track record of leading large-scale data and AI initiatives.
- Expertise in data governance, data quality, and data privacy/security best practices.
- Proficiency in data storytelling, data visualization, and effectively communicating complex data insights to diverse stakeholders.
Benefits
- Comprehensive medical, financial, and other benefits package.
- Equity and sign-on payments as part of total compensation package.
- Flexible working culture to support work-life balance.
