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Data Visualization Architect Jobs in Renton, WA (NOW HIRING)

Data Visualization The ideal candidate's experience may include but is not limited to the following ... Intimately familiar with data technologies, data architecture frameworks, cloud platforms and the ...

Create algorithms to perform large-scale traffic analysis and summarize data for graphing and visualization. Mandatory Skills: Coding Experience Powershell, C#, or Python, Deep Network experience ...

Brings strong experience with Epic, SQL, and data visualization tools * Is passionate about ... Job Summary: Serves as the technical architect for organizational data, collaborating with ...

Brings strong experience with Epic, SQL, and data visualization tools * Is passionate about ... Job Summary: Serves as the technical architect for organizational data, collaborating with ...

Analytics Architect

Kirkland, WA · On-site

$145K - $233K/yr

Brings strong experience with Epic, SQL, and data visualization tools * Is passionate about ... Job Summary: Serves as the technical architect for organizational data, collaborating with ...

Brings strong experience with Epic, SQL, and data visualization tools * Is passionate about ... Job Summary: Serves as the technical architect for organizational data, collaborating with ...

Data Visualization The ideal candidate's experience may include but is not limited to the following ... Must have experience in architecting and implementing data architecture, data engineering ...

Use business intelligence and visualization software (e.g., QuickSight.) to develop dashboards ... Develop deep understanding of vast data sources and know exactly how, when, and which data to use ...

Use business intelligence and visualization software (e.g., QuickSight.) to develop dashboards ... Develop deep understanding of vast data sources and know exactly how, when, and which data to use ...

Sr Data Engineer

Seattle, WA

$130K - $156K/yr

... visualization. We are hiring a Senior Data Engineer to design, build, and scale the data ... Data Architecture & Pipeline Development * Build and maintain highperformance streaming and batch ...

... data visualization with the tools available from AWS - including Sage Maker Unified Studio ... As a Data Engineering, you'll architect scalable data infrastructure solutions, partner with ...

Join Walmart as a Staff Data Scientist and leverage your expertise in predictive analytics, machine learning, and data visualization to drive data-driven decision-making across business functions.

... Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data ... visualization tools - Experience in designing advanced analytics solutions - Coaching and ...

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Data Visualization Architect information

See Renton, WA salary details

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How much do data visualization architect jobs pay per hour?

As of Jun 20, 2026, the average hourly pay for data visualization architect in Renton, WA is $78.71, according to ZipRecruiter salary data. Most workers in this role earn between $68.94 and $88.70 per hour, depending on experience, location, and employer.

What are the typical challenges faced by a Data Visualization Architect when working with cross-functional teams?

As a Data Visualization Architect, you'll often collaborate with data scientists, business analysts, and software engineers to translate complex data into clear, actionable insights. One common challenge is aligning the diverse expectations and requirements from various stakeholders while ensuring visualizations remain both accurate and accessible. Balancing technical feasibility with user experience, and managing feedback loops, requires strong communication and project management skills. Successfully navigating these challenges not only improves project outcomes but also builds your credibility as a data visualization expert within the organization.

What is the difference between Data Visualization Architect vs Data Analyst?

AspectData Visualization ArchitectData Analyst
CredentialsBachelor's or higher in Data Science, Computer Science, or related fields; certifications in data visualization toolsBachelor's in Statistics, Data Science, or related fields; often certifications in analytics tools
Work EnvironmentDesigns complex visual systems, collaborates with data engineers and designersAnalyzes data sets, creates reports, and provides insights
Industry UsageUsed in organizations requiring advanced data visualization solutionsCommon across industries for data analysis and reporting

The Data Visualization Architect focuses on designing and implementing advanced visual systems to represent complex data, often working closely with data engineers and designers. In contrast, Data Analysts primarily analyze data sets to generate reports and insights. While both roles require knowledge of visualization tools, the architect role emphasizes system design and integration, whereas the analyst role centers on data interpretation and reporting.

What are the key skills and qualifications needed to thrive as a Data Visualization Architect, and why are they important?

To thrive as a Data Visualization Architect, you need expertise in data analysis, visual design principles, and proficiency in database querying, usually supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Tableau, Power BI, D3.js, and SQL, as well as certifications in relevant platforms, is highly valued. Strong communication, critical thinking, and the ability to translate complex data into actionable insights set outstanding professionals apart in this role. These skills and qualities are crucial for building effective visualizations that drive informed decision-making and clearly communicate data-driven stories to stakeholders.

What is a Data Visualization Architect?

A Data Visualization Architect is a professional who designs and develops data visualization solutions to help organizations interpret complex data. They work closely with data analysts, business stakeholders, and IT teams to create dashboards, reports, and interactive graphics that make data insights accessible and actionable. Their responsibilities include selecting appropriate visualization tools, establishing best practices, ensuring data accuracy, and optimizing user experience. Data Visualization Architects play a crucial role in transforming raw data into meaningful visual stories that support business decision-making.
What job categories do people searching Data Visualization Architect jobs in Renton, WA look for? The top searched job categories for Data Visualization Architect jobs in Renton, WA are:
What cities near Renton, WA are hiring for Data Visualization Architect jobs? Cities near Renton, WA with the most Data Visualization Architect job openings:
Worldwide Partner Solutions Architect, Data and AI GTM

Worldwide Partner Solutions Architect, Data and AI GTM

Amazon

Seattle, WA • On-site, Remote

Full-time

Posted 19 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,870 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

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 systems, would make candidates well-suited for this role.
In this role, you will need to be technically capable and credible in your own right, as well as effective in shaping partner solutions involving business intelligence, analytics, AI-powered workplace productivity, and agentic AI systems. You will enjoy learning and introducing new BI, analytics, and AI technologies to a global team to help them adopt best practices

You will be adept at interacting, communicating, and partnering with other departments within AWS such as our service teams, marketing, the broader Solutions Architect community, as well as representing our work to executive management within the organization.
As the right candidate, you will possess technical skills in BI architecture, analytics platform design, data visualization, AI-powered productivity tools, agentic AI systems, and cloud computing as well as customer facing skills at all levels of a partner organization. You should also be able to think strategically about business, product, and technical challenges. You are a thought leader, and have a hands-on approach that partners are eager to engage with

The ideal candidate can learn new concepts and technologies in a yet-to-be-defined space, is able to communicate effectively with a diverse set of customers or partners across multiple disciplines, and is able to work effectively across internal and external organizations and remote teams.
Key job responsibilities
Partner Advisor: Collaborate with regional teams to enable partners and customers in adopting AWS business intelligence, analytics, and AI-powered productivity services, with primary emphasis on Amazon QuickSuite capabilities.
Devise Strategy: Partner with regional teams to define and execute engagement strategies for BI modernization, analytics adoption, embedded analytics implementations, AI-powered insights, agentic AI for workplace automation, and self-service analytics across global territories and key partners. Emphasize the growing demand for AI-driven business intelligence, generative AI for analytics, and autonomous workplace agents.
Product Collaboration: Stay closely connected to AWS QuickSuite, analytics, and AI service teams, working with regional partner teams to launch new capabilities across our technology portfolio, enabling partners to quickly adopt innovations in dashboards, AI-powered search, natural language query, automated insights, and agentic AI workflows.
Thought Leadership: Provide thought leadership on BI, analytics, and AI-powered productivity solutions, including dashboard design patterns, embedded analytics architectures, AI-powered analytics use cases, agentic AI implementations, data governance frameworks, and self-service analytics strategies. Create enablement content through AWS Blogs, Whitepapers, reference architectures, and present at AWS events and industry conferences.
Community Engagement: Drive best practices across regions, participate in, and contribute to the worldwide AWS technical community of Solutions Architects and Consultants focused on our BI, analytics, and AI technology stack.
Partner Evangelism: Evangelize partner value propositions internally across global AWS teams and externally with customers, highlighting implementation paths for QuickSuite solutions, embedded analytics, AI-powered dashboards, agentic AI for workplace automation, data visualization modernization, and enterprise BI transformations.
Partner Enablement: Drive partner solutions and go-to-market strategies across regions

Enable partners to build differentiated offerings for QuickSuite implementations, custom BI solutions, embedded analytics platforms, industry-specific dashboards, AI-enhanced analytics applications, and agentic AI workplace solutions.
Architectural Guidance: Provide architectural guidance for successful partner engagements globally, helping them leverage AWS services to win and deliver complex BI, analytics, AI-powered productivity, and agentic AI projects worldwide.
A day in the life
In this role, you will need to be technically capable and credible in your own right, as well as effective in shaping partner solutions involving our AI and data technology portfolio. You will enjoy learning and introducing new technologies to a global team to help them adopt best practices. You will be adept at interacting, communicating, and partnering with other departments within AWS such as our service teams, marketing, the broader Solutions Architect community, as well as representing our work to executive management within the organization


As the right candidate, you will possess technical skills in agentic AI architecture, generative AI applications, machine learning, data analytics services, database services, and cloud computing as well as customer facing skills at all levels of a partner organization. You should also be able to think strategically about business, product, and technical challenges. You are a thought leader, and have a hands-on approach that partners are eager to engage with.

The ideal candidate can learn new concepts and technologies in a yet-to-be-defined space, is able to communicate effectively with a diverse set of customers or partners across multiple disciplines and can work effectively across internal and external organizations and remote teams.
About the team
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, or 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
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique

Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
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, which 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.



What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Amazon logo

About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US