Worldwide Partner Solutions Architect, Data and AI GTM

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

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401(k) match

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Market context

Median wage (BLS OEWS)

$111,944 national median

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

38% above the BLS national median for data and ml aggregate.

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

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Where they hire

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About this role

Worldwide Partner Solutions Architect, Data and AI GTM Seattle, Washington, USA We are looking for a strong Partner Solutions Architect - Data and AI in our Worldwide (WW) Data and AI Partner Go-To-Market (GTM) team, with primary focus on Amazon QuickSuite. Ideal candidates are those who have practical working experience across business intelligence, analytics, AI-powered workplace productivity, and the broader data landscape. This experience would include designing and implementing enterprise BI solutions, building interactive dashboards and visualizations, developing data models, architecting AI-powered analytics platforms, and implementing agentic AI systems for workplace automation. Candidates should have a strong understanding of fundamental concepts such as data visualization, SPICE in-memory analytics, embedded analytics, natural language query (NLQ), generative AI for business intelligence, AI agents, large language models (LLMs), retrieval-augmented generation (RAG), dashboard design, dataset modeling, row-level security (RLS), self-service analytics, and AI-powered workflow automation. Expertise in BI platforms, data preparation tools, analytics services, AI-powered productivity solutions, and agentic AI frameworks, leveraging AWS services for use cases including executive dashboards, operational reporting, predictive analytics, AI-driven insights, and autonomous workplace agents, is desired. Knowledge of BI, analytics, and AI platform administration tasks, such as user provisioning, access management, performance optimization, cost management, data governance, model governance, security best practices, and compliance requirements, would also be valuable. Familiarity with AWS technologies like Amazon QuickSuite, Amazon QuickSight, Amazon Bedrock, Agent core, Amazon Athena, AWS Glue, Amazon Redshift, Amazon S3, Amazon SageMaker, and experience integrating BI, analytics, and AI solutions with enterprise data sources, SaaS applications, and business

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