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Senior Data Modeler Jobs in Alabama (NOW HIRING)

The Lockwood Group

Senior Data Analyst

Huntsville, AL

$89K - $112K/yr

The Senior Data Analyst will work at Redstone Arsenal and be the lead for Data Analytics and Modeling and oversee descriptive/predictive products and mentor junior data analysts. Required experience:

The Lockwood Group

Senior Data Analyst

Huntsville, AL · On-site

$89K - $112K/yr

The Senior Data Analyst will work at Redstone Arsenal and be the lead for Data Analytics and Modeling and oversee descriptive/predictive products and mentor junior data analysts. Required experience:

CSAA

Job Title Senior Data Science Consultant, Insurance - Remote Requisition Number R7828 Senior Data ... Guide business users on model assumptions, limitations, and best practices. * Coach and mentor ...

Redhorse Corp.

Senior Data Architect

Huntsville, AL · On-site

$140 - $160/hr

To support this mission, we are seeking a Senior Data Architect to lead the development of ... Extensive knowledge of relational database environments (RDBMS) and data modeling. * Proven ...

Guidehouse

Senior Data Engineer

Huntsville, AL · On-site

$80K - $133K/yr

Guidehouse seeks a Senior Data Engineer to design, develop, and optimize modern data platforms ... Build and optimize data architectures, data models, and storage solutions across cloud and hybrid ...

Guidehouse

Senior Data Engineer

Huntsville, AL · On-site

$80K - $133K/yr

Guidehouse seeks a Senior Data Engineer to design, develop, and optimize modern data platforms ... Build and optimize data architectures, data models, and storage solutions across cloud and hybrid ...

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Senior Data Modeler information

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$32

$61

$76

How much do senior data modeler jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for senior data modeler in Alabama is $61.28, according to ZipRecruiter salary data. Most workers in this role earn between $54.23 and $69.52 per hour, depending on experience, location, and employer.

What does a senior data modeler do?

A Senior Data Modeler is responsible for designing, implementing, and managing data models that define how data is stored, organized, and accessed within an organization. They work closely with stakeholders to understand business requirements and translate them into efficient data structures, often using tools like ER diagrams and database modeling software. Senior Data Modelers ensure data integrity, optimize data flows, and support data governance initiatives. They may also mentor junior data modelers and collaborate with database administrators, data architects, and developers to deliver effective data solutions.

What are the key skills and qualifications needed to thrive as a senior data modeler?

To thrive as a Senior Data Modeler, you need deep expertise in database design, data modeling techniques, and strong proficiency in SQL, often supported by a degree in computer science or a related field. Familiarity with data modeling tools such as ERwin, IBM InfoSphere Data Architect, or Microsoft Visio, and knowledge of database systems like Oracle or SQL Server, are typically required. Excellent analytical thinking, attention to detail, and strong collaboration and communication skills help you work effectively with cross-functional teams. These competencies ensure accurate, scalable, and efficient data structures that support business intelligence and decision-making across the organization.

How does a senior data modeler typically collaborate with other departments during large-scale projects?

A Senior Data Modeler often works closely with business analysts, data architects, and software engineers to ensure that data models align with both technical requirements and business objectives. Collaboration typically involves gathering requirements, translating business needs into data structures, and participating in design reviews. Senior Data Modelers also play a key role in facilitating communication between IT and non-technical stakeholders to ensure data integrity and usability across systems. Effective teamwork and clear documentation are essential to navigate the complexities of large-scale data initiatives.

What is the difference between Senior Data Modeler vs Data Architect?

AspectSenior Data ModelerData Architect
Required CredentialsBachelor's or Master's in Computer Science, Data Management, or related field; certifications like CDMPBachelor's or Master's in Computer Science, Information Systems; certifications like TOGAF, CDMP
Work EnvironmentData teams, database development, data analysis projectsIT departments, enterprise data strategy, system design
Employer & Industry UsageFinance, healthcare, tech companies focusing on data modelingLarge enterprises, consulting firms, organizations with complex data infrastructure
Common Search & ComparisonOften compared for technical data modeling skillsBroader scope including data infrastructure and architecture planning

While both roles require strong data management skills and similar certifications, Senior Data Modelers focus primarily on designing and optimizing data models, whereas Data Architects develop comprehensive data strategies and oversee overall data infrastructure. The roles often collaborate but differ in scope and responsibilities.

What are the most commonly searched types of Data Modeler jobs in Alabama?

The most popular types of Data Modeler jobs in Alabama are:

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For Senior Data Modeler jobs in Alabama, the most frequently searched job titles are:

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Senior Data Modeler jobs near you

Senior Data Analyst

Systems Technology & Research, Inc. (STaR)

Redstone Arsenal, AL

$87K - $110K/yr

Full-time

Posted yesterday

New

Job description

Job Description:

Systems Technology & Research, Inc. (STaR) is seeking a Senior Data Analyst to support a U.S. Army organization located at Redstone Arsenal, Alabama. The Senior Data Analyst will serve as the lead for data analytics and modeling, overseeing the development and delivery of descriptive and predictive analytical products. This role will also provide technical leadership and mentorship to junior data analysts, ensuring high-quality, data-driven solutions that support organizational objectives and mission requirements. 

Qualifications/Experience:

  • Bachelor's degree in Data Science, Operations Research, or closely related field.
  • Minimum of seven (7) years of experience in analytics.
  • Minimum of three (3) years of experience in supply chain.
  • Experience with data mining.
  • Experience with statistical modeling.
  • Experience with machine learning.
  • Experience using Tableau and/or Power BI.
  • Must possess or be eligible to obtain and maintain a Secret security clearance.

Responsibilities:

  • Lead Data Analytics and Modeling activities, oversee descriptive and predictive analytical products, and mentor junior data analysts.
  • Collect, process, and analyze data to extract meaningful insights, identify patterns, and support decision-making.
  • Use data mining, Artificial Intelligence (AI), machine learning, and data visualization to transform raw data into actionable information.
  • Provide advanced data mining, statistical analysis, trend analysis, and causal analysis, serving as a technical lead to monitor and deliver monthly support for supply chain activities.
  • Prepare reports, correspondence, and other written materials in accordance with established regulations and guidelines and make recommendations on organizational matters affecting program support.
  • Integrate multiple disciplines within an operations research team and translate analytical methods into practical applications for operational managers.
  • Implement quality control methods; collect and analyze data for key enterprise metrics, including Material Requirements Planning (MRP) adherence, forecast accuracy, supply availability, and excess inventory; and prepare and update processes supporting analytic tools, procedures, and methodologies.
  • Distill structured and unstructured data into cohesive analytical products for functional business areas, support pattern analysis to develop recommendations for operational managers, and prepare reports and briefings to communicate courses of action to senior leadership.
  • Perform descriptive, diagnostic, predictive, and prescriptive analytics.

Systems Technology & Research, Inc. is an Equal Employment Opportunity (EEO) employer and does not discriminate based on race, color, national origin, religion, gender, gender identity, age, veteran status, political affiliation, sexual orientation, marital status or disability (in compliance with the Americans with Disabilities Act) with respect to employment opportunities. For more information go to U.S. Equal Employment Opportunity Commission.

As an Equal Employment Opportunity employer, we are additionally committed to providing reasonable accommodations to ensure all qualified applicants have the ability to be considered for employment. If a disability prevents you from participating in any step of the hiring process, please contact our HR team at hr@star-hq.com to request reasonable accommodation.

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