Amazon Web Services (AWS)
Sr. Specialist Analytics Solutions Architect, Amazon Web Services, WWPS SLG-EDU
Amazon Web Services (AWS), Boston, Massachusetts, us, 02298
Sr. Specialist Analytics Solutions Architect, Amazon Web Services, WWPS SLG-EDU Data and AI Specialists
We are seeking a Sr. Specialist Analytics Solutions Architect to join the Worldwide Public Sector (WWPS) Data and AI Specialists team. This role focuses on helping government, education, and nonprofit customers modernize data platforms, unlock analytics and AI capabilities, and accelerate innovation using AWS services. Responsibilities
Lead technical engagements focused on data lakes, data warehousing, real-time analytics, and AI/ML use cases Deliver proof-of-concepts and workshops that demonstrate the value of AWS analytics and GenAI services Collaborate with CxOs, developers, data scientists, and IT leaders to design scalable, secure, and cost-effective data architectures Influence product and roadmap decisions by representing customer needs to AWS service teams Create reusable technical content including reference architectures, whitepapers, blog posts, and enablement materials Mentor field solution architects and drive internal enablement across AWS WWPS teams Travel up to 30% to engage with customers and partners About The Team
We are the Data and AI Specialist Solutions Architecture team supporting the U.S. State and Local Government and Education (SLG/EDU) segment within AWS’s Worldwide Public Sector. Our mission is to help public sector customers harness the power of data, analytics, and generative AI to drive innovation, improve operational efficiency, and enhance constituent outcomes. About AWS
We value diverse experiences and encourage candidates to apply even if you do not meet every qualification. AWS fosters an inclusive culture and provides mentorship and career growth opportunities. We are a world-leading cloud platform focused on innovation and customer outcomes. Basic Qualifications
8+ years of experience in data & analytics, software development, or cloud infrastructure 3+ years of experience designing and implementing analytics or data platforms Deep expertise in cloud data services such as data lakes, data warehouses, big data, search, and streaming Experience with architecture and migration of large-scale data solutions to the cloud Preferred Qualifications
5+ years of infrastructure architecture, database architecture and networking experience Familiarity with GenAI, AI/ML tools, and their integration into data platforms Hands-on experience with AWS analytics services (e.g., Redshift, Glue, Athena, Kinesis, QuickSight) AWS certification(s) in Data Analytics, Machine Learning, or Solutions Architecture Demonstrated ability to lead technical customer engagements and build lasting relationships 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 the Amazon accommodations page for more information. If the country or region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $138,200/year in the lowest geographic market up to $239,000/year in the highest geographic market. Pay is based on factors including market location and job-related knowledge, skills, and experience. This position may include equity, sign-on payments, and other benefits as part of a total compensation package. Location: Cambridge, MA
#J-18808-Ljbffr
We are seeking a Sr. Specialist Analytics Solutions Architect to join the Worldwide Public Sector (WWPS) Data and AI Specialists team. This role focuses on helping government, education, and nonprofit customers modernize data platforms, unlock analytics and AI capabilities, and accelerate innovation using AWS services. Responsibilities
Lead technical engagements focused on data lakes, data warehousing, real-time analytics, and AI/ML use cases Deliver proof-of-concepts and workshops that demonstrate the value of AWS analytics and GenAI services Collaborate with CxOs, developers, data scientists, and IT leaders to design scalable, secure, and cost-effective data architectures Influence product and roadmap decisions by representing customer needs to AWS service teams Create reusable technical content including reference architectures, whitepapers, blog posts, and enablement materials Mentor field solution architects and drive internal enablement across AWS WWPS teams Travel up to 30% to engage with customers and partners About The Team
We are the Data and AI Specialist Solutions Architecture team supporting the U.S. State and Local Government and Education (SLG/EDU) segment within AWS’s Worldwide Public Sector. Our mission is to help public sector customers harness the power of data, analytics, and generative AI to drive innovation, improve operational efficiency, and enhance constituent outcomes. About AWS
We value diverse experiences and encourage candidates to apply even if you do not meet every qualification. AWS fosters an inclusive culture and provides mentorship and career growth opportunities. We are a world-leading cloud platform focused on innovation and customer outcomes. Basic Qualifications
8+ years of experience in data & analytics, software development, or cloud infrastructure 3+ years of experience designing and implementing analytics or data platforms Deep expertise in cloud data services such as data lakes, data warehouses, big data, search, and streaming Experience with architecture and migration of large-scale data solutions to the cloud Preferred Qualifications
5+ years of infrastructure architecture, database architecture and networking experience Familiarity with GenAI, AI/ML tools, and their integration into data platforms Hands-on experience with AWS analytics services (e.g., Redshift, Glue, Athena, Kinesis, QuickSight) AWS certification(s) in Data Analytics, Machine Learning, or Solutions Architecture Demonstrated ability to lead technical customer engagements and build lasting relationships 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 the Amazon accommodations page for more information. If the country or region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $138,200/year in the lowest geographic market up to $239,000/year in the highest geographic market. Pay is based on factors including market location and job-related knowledge, skills, and experience. This position may include equity, sign-on payments, and other benefits as part of a total compensation package. Location: Cambridge, MA
#J-18808-Ljbffr