Sr. Analytics & AI Specialist Solutions Architect, ASPI, AutoMfg

Amazon Web Services, Inc.•5h ago

United StatesOnsiteFull-timeSenior Level8+ yrs exp

H-1B verified · 2310 LCAs

Apply now

Top focus

Solutions Architect

Are you a customer-obsessed leader with deep expertise in Data, Analytics
Artificial Intelligence? Do you have the strategic vision and business acumen to shape multi-year AI transformation programs for the world's largest enterprises? Do you thrive at the intersection of novel technology and complex business challenges? Join AWS Specialists & Partners for Industries (ASPI) organization within the Data & AI Specialists team for Automotive & Manufacturing as a Principal Solutions Architect, requiring exceptional non-formal leadership, cross-functional orchestration
strategic impact at the most senior customer and AWS leadership levels. The ASPI organization is responsible for driving revenue and accelerating adoption of cloud and partner services across our most strategic global customers. We work backwards from our customers’ most complex and business-critical challenges to develop and execute go-to-market plans that transform ideas into scalable, high-impact businesses. ASPI teams include business development specialists and specialized solution architects. As part of ASPI, you will contribute across the full lifecycle of AWS customer initiatives – from shaping new service and solution concepts to accelerating adoption of established offerings. We pride ourselves on thinking big, delivering exceptional customer outcomes
collaborating seamlessly across AWS as #OneTeam. Key job responsibilities In this role you will be the senior technical authority helping our largest customers design and adopt modern data and analytics platforms on AWS. Analytics Architecture Design: Provide deep technical expertise across the AWS analytics portfolio — including Amazon Redshift, Amazon Athena, Amazon EMR, AWS Glue, Amazon Kinesis, Amazon OpenSearch, Amazon QuickSight
the broader data ecosystem — to guide complex customer engagements from vision through implementation. Data Platform Strategy: Partner with customers to design and implement modern data platform architectures — centralized data lakes, data mesh patterns, data products, metadata management
data governance frameworks — that enable trusted, self-service analytics across the enterprise. Agentic AI Enablement: Design the data foundation that makes enterprise data agent-ready — building the context, semantic
ontology layers (knowledge graphs, business metadata, semantic models, governed catalogs) that give AI agents accurate, trusted business context. Bridge data engineering and AI teams so agentic and analytical workloads can reason over the same governed data estate at scale. Solution Design & Deployment: Design and deploy scalable, high-performance data warehousing, data lake
real-time analytics solutions tailored to each customer's business requirements. Field Enablement: Create reusable enablement materials and reference architectures that help the broader SA population integrate AWS analytics solutions into customer architectures. Cross-Functional Collaboration: Partner with account teams, specialist sellers, Professional Services
partners to drive analytics adoption and deliver comprehensive, end-to-end data solutions. Thought Leadership & Influence: Act as a trusted advisor to customer executives and technical leaders, represent AWS analytics at industry and field events
channel field insights back to service teams to shape the analytics roadmap. About the team About AWS Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path
includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home
is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience - 3+ years of design, implementation
consulting in applications and infrastructures experience
5+ years of infrastructure architecture, database architecture and networking experience - Experience working with end user or developer communities - Knowledge of open table formats, especially Iceberg - Understanding of data foundation principles supporting agentic systems Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications
location. Amazon also offers comprehensive benefits including 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. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, NY, New York - 169,000.00 - 228,600.00 USD annually

Required skills

DataAnalyticsArtificial IntelligenceAWSAmazon RedshiftAmazon AthenaAmazon EMRAWS GlueAmazon KinesisAmazon OpenSearchAmazon QuickSightdata engineeringdata governancedata architecturecloud computing