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Data Visualization Architect Jobs in Alabama (NOW HIRING)

Senior Data Architect

Redstone Arsenal, AL · On-site

$68.75 - $91.75/hr

The Data Architect will lead enterprise-scale data initiatives by collecting, engineering, and ... Experience with AI/ML platforms, data visualization tools, and DoD data environments * Familiarity ...

Senior Data Architect

Redstone Arsenal, AL

$68.75 - $91.75/hr

The Data Architect will lead enterprise-scale data initiatives by collecting, engineering, and ... Experience with AI/ML platforms, data visualization tools, and DoD data environments * Familiarity ...

Senior Data Architect

Redstone Arsenal, AL

$68.75 - $91.75/hr

The Data Architect will lead enterprise-scale data initiatives by collecting, engineering, and ... Experience with AI/ML platforms, data visualization tools, and DoD data environments * Familiarity ...

Data Architect

Huntsville, AL · On-site

$180K - $210K/yr

The Data Architect supports the Missile Defense Agency (MDA) on the Integrated Research and ... Must have a mastery of visualization tools like PowerBI, Tableau or equivalent to present complex ...

Data Architect IRES - HSV

Redstone Arsenal, AL · On-site +1

$65 - $83.75/hr

The Data Architect supports the Missile Defense Agency (MDA) on the Integrated Research and ... Must have a mastery of visualization tools like PowerBI, Tableau or equivalent to present complex ...

... visualization techniques. • Undertakes preprocessing of structured and unstructured data. • ... architecture. • Excellent verbal and written communication skills. • Ability to break down and ...

... visualization, and communication. * Build Power BI dashboards and automated reporting solutions ... data architect or in a related senior technical role leading and developing technical teams

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How much do data visualization architect jobs pay per hour?

As of May 31, 2026, the average hourly pay for data visualization architect in Alabama is $63.43, according to ZipRecruiter salary data. Most workers in this role earn between $55.58 and $71.44 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 are popular job titles related to Data Visualization Architect jobs in Alabama? For Data Visualization Architect jobs in Alabama, the most frequently searched job titles are:
What job categories do people searching Data Visualization Architect jobs in Alabama look for? The top searched job categories for Data Visualization Architect jobs in Alabama are:
What cities in Alabama are hiring for Data Visualization Architect jobs? Cities in Alabama with the most Data Visualization Architect job openings:
Senior Data Visualization Developer

Senior Data Visualization Developer

Essnova Solutions, Inc.

Huntsville, AL

Full-time

Posted 4 days ago


Job description

Essnova Solutions, Inc. is an award-winning SBA 8(a) and HUBZone-certified small business delivering advanced technology and professional services to federal, state, local, and commercial clients. Our expertise spans geospatial, healthcare, and environmental solutions, and we are committed to supporting agencies with high-impact, compliance-driven projects.
We are seeking a Senior Data Visualization Developer to serve as the technical lead for the National Center for Health Statistics (NCHS) visualization and solutions development. This role is pivotal in driving the end-to-end lifecycle of data visualization products, ensuring accuracy, accessibility, and compliance with federal standards. You will architect reusable visualization components, bridge communication between statisticians and developers, and uphold rigorous data validation and accessibility requirements.
Key responsibilities include:
  • Lead the technical execution of NCHS visualization and solutions development tasks, overseeing the full development lifecycle from requirements gathering to deployment and documentation.
  • Make strategic decisions on visualization tool selection (e.g., Tableau, Power BI, R/Shiny, Python/Dash, D3.js) and architect/build/maintain a reusable component library for NCHS.
  • Develop and maintain automated data validation scripts to ensure compliance with statistical accuracy and suppression logic.
  • Translate requirements between statisticians and developers by producing implementable specifications, including data models, query patterns, suppression logic rules, and annotated wireframes.
  • Conduct and oversee Section 508/WCAG accessibility testing using automated and manual screen reader tools in coordination with project management methodology.
  • Provide technical guidance on data architecture, technology risk assessment, and enterprise architecture artifacts, including process and data-flow diagrams.
  • Support Adobe Analytics administration and reporting as needed.
  • Collaborate closely with Data Engineers and PMs to ensure compliance with federal statistical agency standards and protected data requirements.

Requirements

Required Qualifications:
  • Bachelor's degree in Computer Science, Data Science, Statistics, Information Systems, or a related field
  • 7+ years of data visualization development experience in federal agencies or compliance-driven environments
  • Advanced proficiency in at least three of the following: Tableau, Power BI, R (ggplot2/Shiny/R Markdown), Python (plotly/Dash/pandas/matplotlib), D3.js, with working proficiency in the remaining tools
  • Experience serving as technical lead for end-to-end data visualization development, including requirements, preprocessing, design, build, review, accessibility testing, deployment, and documentation
  • Experience presenting statistical data, including confidence intervals, weighted estimates, and suppression rules
  • Experience conducting Section 508 / WCAG 2.0 Level AA accessibility testing using automated tools (axe or WAVE) and manual screen reader testing (JAWS or NVDA)
  • Proficiency with Git for code reviews and embedded documentation, and SQL for analytics/visualization data needs
  • Experience translating requirements between statisticians and developers by producing implementable specifications (data models, query patterns, annotated wireframes)
  • Experience administering and reporting with Adobe Analytics or equivalent digital analytics platforms
  • Active Tier 4 / High Risk Public Trust (Level 6+) clearance at time of proposal submission and eligibility for HSPD-12/PIV credentialing
  • Currently located in the United States and able to overlap core working hours in Eastern Time
Preferred Qualifications:
  • Master's degree in Computer Science, Data Science, Statistics, Information Systems, or a related field
  • Experience with NCHS, CDC, or federal statistical data environments
  • Experience applying machine learning techniques to analysis or visualization tasks
  • Familiarity with HHS EPLC or equivalent federal project lifecycle methodologies