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

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 ...

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 · On-site

$138.90K - $186.20K/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 ...

Data Strategy-Manager

Seattle, WA · On-site

$99K - $232K/yr

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

WWSO teams include business development, specialist and technical solutions architecture. As part ... - 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience ...

Create Data visualization and query processing products used at large scale. * Create data ... Influence architecture, technology selections, and trends of the whole company Qualifications: * 8+ ...

... Architect and lead the design of advanced AML models utilizing machine learning and statistical ... data visualization (e.g., Tableau) • Experience with data monitoring systems (e.g., DataDog ...

Lead Architect

Bellevue, WA · Hybrid

$62.25 - $85.50/hr

... Data Scientist capabilities for automated visualization, deepdive insights, and product ... Establish architectural standards for data quality, metadata, lineage, observability, governance ...

Lead Architect

Bellevue, WA · Hybrid

$62.25 - $85.50/hr

... Data Scientist capabilities for automated visualization, deepdive insights, and product ... Establish architectural standards for data quality, metadata, lineage, observability, governance ...

Strong understanding ofenterprisedata architecture, data modeling, and ETL/ELT processes ... Data storytelling and visualization * Ability to translate technical concepts into business ...

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How much do data visualization architect jobs pay per hour?

As of May 30, 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 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 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 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 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 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:
Infographic showing various Data Visualization Architect job openings in Renton, WA as of May 2026, with employment types broken down into 3% Internship, 54% Full Time, 2% Part Time, and 41% Contract. Highlights an 14% Physical, 1% Hybrid, and 85% Remote job distribution, with an average salary of $163,726 per year, or $78.7 per hour.
Data Engineer II, DBS BI

Data Engineer II, DBS BI

Amazon

Bellevue, WA

Full-time

Posted 9 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,788 frontline employees who took The Breakroom Quiz

7th of 39 rated national retailers


Job description

AWS Databases, Analytics and AI/ML Products and Services is one of the largest and fast-growing business unit within AWS. We are working to rebuild and revolutionize data engineering and business intelligence systems within database, analytics and AI/ML organization to support fast growing business needs.
We are looking for experienced, self-driven Data Engineer. In this role, you will be building complex data engineering and business intelligence applications using AWS big data stack

You should have deep expertise and passion in working with large data sets, data visualization, building complex data processes, performance tuning, bringing data from disparate data stores and programmatically identifying patterns. You should have excellent business acumen and communication skills to be able to work with business owners to develop and define key business questions and requirements. You will provide guidance and support for other engineers with industry best practices and direction.

Amazon Web Services (AWS) has culture of data-driven decision-making, and demands timely, accurate, and actionable business insights.
Key job responsibilities
Design, implement, and support data warehouse / data lake infrastructure using AWS big data stack, Python, Redshift, QuickSight, Glue/lake formation, EMR/Spark/Scala, Athena etc.
Develop and manage ETLs to source data from various commercial, sales and operational systems and create unified data model for analytics and reporting.
Use business intelligence and visualization software (e.g., QuickSight.) to develop dashboards those are used by senior leadership.
Empower technical and non-technical, internal customers to drive their own analytics and reporting (self-serve reporting) and support ad-hoc reporting when needed.
Develop deep understanding of vast data sources and know exactly how, when, and which data to use to solve particular business problems.
Work with Product Managers, Finance, Service Engineering Teams and Sales Teams on day-to-day basis to support their new analytics requirements.
Manage numerous requests concurrently and strategically, prioritizing when necessary
Partner/collaborate across teams/roles to deliver results.
Mentor other engineers, influence positively team culture, and help grow the team.


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