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Data Visualization Architect Jobs (NOW HIRING)

Data Architect

$65.25 - $84/hr

Data Architect Location: Remote - Fulltime Position Must Have Technical/Functional Skills: * Strong ... Familiarity with data visualization and reporting tools (e.g., Tableau, Power BI) is a plus. * Deep ...

We are looking for a Data Architect to build, optimize and maintain conceptual and logical database ... Ideally, you are familiar with predictive analysis and data visualization techniques using relevant ...

... data into visual systems. • Apply game development best practices to robotics visualization architecture and systems. • Evaluate and adopt new rendering, simulation, and visualization ...

The Compliance Data Architect is responsible for developing, designing, producing, and interpreting ... Proven experience in advanced analytics, data visualization, data modeling, and statistical ...

Data Architect

$65.25 - $84/hr

Data Architect Embark on an exciting journey into the realm of data engineering and architecture ... Proficiency in data visualization tools like Tableau, Power BI or similar to create meaningful ...

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Data Visualization Architect information

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$10

$69

$94

How much do data visualization architect jobs pay per hour?

As of Jun 20, 2026, the average hourly pay for data visualization architect in the United States is $69.98, according to ZipRecruiter salary data. Most workers in this role earn between $61.30 and $78.85 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.
More about Data Visualization Architect jobs
What cities are hiring for Data Visualization Architect jobs? Cities with the most Data Visualization Architect job openings:
What states have the most Data Visualization Architect jobs? States with the most job openings for Data Visualization Architect jobs include:
Infographic showing various Data Visualization Architect job openings in the United States as of June 2026, with employment types broken down into 11% As Needed, 69% Full Time, 7% Part Time, 6% Temporary, 3% Contract, and 4% Nights. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $145,556 per year, or $70 per hour.
Data Visualization Engineer - Advanced Engineering

Data Visualization Engineer - Advanced Engineering

Kaiser Aluminum

Heath, OH • On-site

Full-time

Posted 9 days ago


Kaiser Aluminum rating

7.4

Company rating: 7.4 out of 10

Based on 30 frontline employees who took The Breakroom Quiz

272nd of 518 rated manufacturers


Job description

Kaiser Aluminum is known around the world for its superior quality. Our secret is what we put into it-innovative thinking, industry-leading reliability, and a world-class commitment to customer service. In short, the same qualities we look for in our people. We are looking for a Manufacturing Data Visualization Engineer to join our Advanced Engineering team in Newark Ohio or Kalamazoo Michigan!
"Engineers and scientists who develop software to solve real world manufacturing problems."
Kaiser Aluminum is seeking a Manufacturing Data Visualization Engineer to improve operational performance by turning manufacturing and production data into clear, practical visualizations for operators, supervisors, and engineers. As a member of the Intelligent Factory Team, this role develops and maintains near real-time dashboards, performance boards, and decision-support tools that support safe, consistent, and data-driven execution across the value stream.
The successful candidate will combine strong software and visualization skills with a practical understanding of industrial operations to deliver user-centered tools that improve situational awareness, adherence to standard work, escalation response, and continuous improvement outcomes.
Visualizations are built reusing Kaiser's Intelligent Factory Solution (IFS) architecture. The software stack includes Microsoft SQL, MongoDB and Inductive Logic Historian for data storage; deviceWISE as the configurable middleware transport layer, Inductive Automation Ignition (Python and Java) as UI along with programmable logic controllers. Candidates will understand and support the architecture, software, and continued product evolution at Kaiser Aluminum's North American facilities.
What you will work on:
  • Design, develop, and maintain standard dashboards that clearly communicate equipment status, process conditions, production progress, quality indicators, and constraints in a near real-time format
  • Translate plant operating needs into intuitive visual elements (e.g., status states, trends, thresholds, alerts, control limits, and "at-a-glance" health indicators)
  • Partners with operations leaders and subject matter experts to define standard visualization patterns (e.g., common layouts, naming, color conventions, alarm prioritization, and KPI definitions) to drive consistent interpretation across manufacturing lines and shifts
  • Implement visual management tools for daily management routines (shift handoff, tier meetings, performance boards, escalation cues, action tracking)
  • Build and support standardized reporting and visualization for KPIs such as OEE components, throughput, downtime categorization, yield/scrap, rework, cycle time, schedule attainment, and other plant-defined metrics
    • Operators (simple, actionable, immediate)
    • Supervisors/engineers (trends, comparisons, Pareto views, drill-down)
  • Collaborate on visualization design such that existing best practices are reused
  • Develop reusable visualization components and templates so new areas/lines can be enabled quickly with minimal custom development
  • Develop and maintain data access utilities and curated interfaces (e.g., standardized queries, semantic layers, pre-defined extracts, governed KPI definitions) that allow users to retrieve the right information without needing deep technical skills
  • Collaborate with data engineering / OT / IT resources to ensure visualization tools are built on trusted, governed data sources while minimizing duplication or manual workarounds
  • Provide documentation, training, and user guidance to support adoption and sustained use of visualization tools
  • Ensure dashboards and visualization tools are reliable, performant, and maintainable (version control, change management, release notes)
  • Maintain alignment with cybersecurity, access control, and data governance requirements
  • Strong working knowledge of data structures and querying (e.g., SQL, time-series concepts), with the ability to work effectively with historians and operational datasets
  • Ability to translate ambiguous user needs into clear visualization requirements, then deliver usable tools in iterative releases

What you will bring to the position:
  • Bachelor's degree in Software Engineering, Computer Science, Industrial Engineering, or related discipline; or equivalent experience
  • Five years' visualization development experience, preferably in manufacturing or industrial settings
  • Minimum three to five (3-5) years of experience working with process engineers/business analysts to translate functional requirements into technical requirements and making architectural decisions
  • Competent with T-SQL and database theory and structures
  • Basic knowledge in networking and client-server transactions
  • Broad contemporary understanding of information technologies and trends
  • Demonstrated experience with MBSE and documentation, sysML or like
  • Strong communications skills with ability to clearly articulate, collaborate and substantiate recommendations with team and illustrate and propose design concepts prior to software construction
  • Ability to produce high quality, well documented, thoroughly tested, and efficient applications and reports
  • Ability to work incrementally and comfortable with collaboration and peer review
  • Use Software Development Lifecycle (SDLC) to incrementally evolve a system in phases
  • Proven ability to manage concurrent development tasks
  • Excellent problem solving, investigative, experimental, and statistical analysis skills
  • Manufacturing experience is a plus. Exposure to Digital Twins a plus

Work environment in the plant:
  • Approximately 90% of the job function is performed in an office setting requiring normal safety precautions, while 10% of the job function is in the plant, however this may vary by project. There is exposure to operating machinery and a manufacturing environment
  • Travel may be required, on average not exceeding 15% of the time and is project driven

No third-party candidate submissions are being accepted at this time for this opening.
We are an equal opportunity employer. All applicants will be considered based on job-related qualifications and abilities. There shall be no discrimination on the basis of age, race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, veteran, or disability status.
About Kaiser Aluminum: Talented people join our team because we are a company passionate about environmental sustainability, employee growth, contributing back to our communities and championing an inclusive culture.

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