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Senior Data Modeler Jobs in Alabama (NOW HIRING)

Vultus Inc

Senior Data Scientist

Birmingham, AL · On-site +1

$130K - $170K/yr

Senior Data Scientist Experience: 6-10 Years Job Type: Full-Time Location: Remote / Hybrid / Onsite ... Validate model performance and optimize algorithms for production. * Present technical findings and ...

Boeing

Senior Data Scientist

Huntsville, AL · On-site

$162K - $219K/yr

This role involves interpreting data, developing analytical models, and delivering actionable insights to drive quality management and support informed decision-making. The Senior Data Scientist will ...

Boeing

Senior Data Scientist

Huntsville, AL

$162K - $219K/yr

This role involves interpreting data, developing analytical models, and delivering actionable insights to drive quality management and support informed decision-making. The Senior Data Scientist will ...

Boeing

Senior Data Scientist

Huntsville, AL · On-site

$162K - $219K/yr

This role involves interpreting data, developing analytical models, and delivering actionable insights to drive quality management and support informed decision-making. The Senior Data Scientist will ...

COMPASS, Inc.

$90K - $124K/yr

Systems Engineer/Data Modeler (Senior) Clearance: Active TS/SCI w/CI poly Location: Washington Metropolitan Area, St. Louis, MO, Huntsville, AL Position Description: The Senior Systems Engineer/Data ...

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 ...

Shipt, Inc.

Senior Data Scientist I

Birmingham, AL · On-site +1

Shipt, Inc. seeks a full-time Senior Data Scientist I responsible for performing a variety of ... and causal models, building marketplace optimization algorithms, to informing decision-making ...

Shipt

Senior Data Scientist I

Birmingham, AL

Shipt, Inc. seeks a full-time Senior Data Scientist I responsible for performing a variety of ... and causal models, building marketplace optimization algorithms, to informing decision-making ...

asrcfh

Senior Data Architect

Redstone Arsenal, AL

$68.75 - $91.75/hr

ASRC Federal is looking for an experienced Data Architect - Senior to support their work with the U ... Collect, analyze, clean, normalize, and model large datasets from varied sources * Develop, test ...

asrcfh

Senior Data Architect

Redstone Arsenal, AL

$68.75 - $91.75/hr

ASRC Federal is looking for an experienced Data Architect - Senior to support their work with the U ... Collect, analyze, clean, normalize, and model large datasets from varied sources * Develop, test ...

Deloitte

Senior Data Engineer

Huntsville, AL · Hybrid

$104K - $141K/yr

As an experienced Senior Data Engineer you will have the ability to share new ideas and collaborate ... Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite ...

ASRC Federal Holding

Senior Data Architect

Redstone Arsenal, AL · On-site

$68.75 - $91.75/hr

... Data Architect - Senior to support their work with the U.S. Army Contracting Command (ACC) Chief ... Collect, analyze, clean, normalize, and model large datasets from varied sources * Develop, test ...

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Senior Data Modeler information

See Alabama salary details

$32

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How much do senior data modeler jobs pay per hour?

As of Aug 8, 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 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.

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 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.
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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Senior Data Modeler jobs near you

SENIOR DATA ARCHITECT

Quantum Research International Inc

Huntsville, AL • On-site

$62.75 - $83.75/hr

Full-time

Re-posted 6 days ago

Job description

Overview:
Quantum Research International, Inc. (Quantum) provides our national defense and federal civilian and industry customers with services and products in the following main areas: 1) Cybersecurity and Information Operations; 2) Space Operations and Control; 3) Aviation Systems; 4) Ground, Air and Missile Defense, and Fires Support Systems; 5) Intelligence Programs Support; 6) Experimentation and Test; 7) Program Management; and (8) Audio/Visual Technology Applications. Quantum's Corporate Office is located in Huntsville, AL, but Quantum actively hires for positions nationwide and internationally. We pride ourselves on providing high quality support to the U.S. Government and our Nation's Warfighters. In addition to our corporate office, we have physical locations in; Colorado Springs, CO; Crestview FL; and Tupelo, MS

Mission:

Quantum Research Intl. is seeking a motivated Senior Data Architect to work as a member of their team in our Huntsville, AL, National Cyber Security Operations Center. The Senior Data Architect is responsible for data modeling, governance, integration, and the development of scalable, high-performance data environments aligned with modern DoW standards in support of the Army Critical Information and Exposure Reporting System (ACIERS). This role ensures that ACIERS data systems are robust, secure, interoperable, and capable of supporting advanced analytics and mission-critical workflows across unclassified, secret, and top-secret environments.  

Responsibilities:

  • Design, develop, and maintain scalable data architectures that support ingestion, integration, storage, modeling, governance, and analytics of PAI (Publicly Available Information) and CAI (Commercially Available Information) datasets, alongside sensitive security data sources
  • Architect end-to-end data pipelines for ingesting, transforming, and enriching heterogeneous data (structured, semi-structured, unstructured) while ensuring compliance with security classification, handling requirements, and risk management frameworks (e.g., RMF)
  • Define and enforce data models, schemas, ontologies, and metadata standards that facilitate correlation of PAI/CAI with classified or controlled security data for risk highlighting, analytics, and reporting.
  • Support hybrid cloud strategies: manage on-premise databases while designing seamless integration, migration, and synchronization with AWS, Azure, or cloud-hybrid environments. This includes data lakes, warehouses, and real-time processing capabilities.
  • Collaborate with development teams to define, source, ingest, and structure mission-relevant data.
  • Provide technical thought leadership in high-level architecture, big data adoption, and analytics platform strategy.
  • Lead the architecture and design of the business intelligence and analytics platform supporting ACIERS.
  • Ensure the data design can scale to accommodate expanding mission requirements and datasets.
  • Support integration of cloud-managed services, when appropriate, ensuring compliance with DoW standards.
  • Coordinate and lead discussions with customer stakeholders on subject matter areas, generate required contract reporting/courses of action, and produce briefing materials.
  • Collaborate with security, compliance, engineering, and analytics teams to translate risk/vulnerability requirements into technical data solutions, including APIs, ETL/ELT processes, and self-service analytics platforms.

Requirements:

  • Bachelor’s Degree from an accredited university in Computer Science, Information Technology or equivalent. Additional experience may be considered in lieu of a degree with proven record of senior level experience.
  • Minimum 5 years experience in data modeling for large, complex database systems (350+ tables) with a focus security, risk, or intelligence data environments. Prior experience with eMASS, RMF processes, PPPs, or similar DoW/cybersecurity data sources is highly preferred.
  • Strong expertise in relational and no/SQL/on-premise databases (E.g., Oracle, SQL Server, PostgreSQL) alongside cloud-native services (AWS RDS, S3, Azure SQL, Redshift, etc.)
  • Proficiency in data modeling (conceptual, logical, physical), ETL/ELT tools, data integration and orchestration platforms.
  • CompTIA Security+ CE or higher
  • Demonstrated ability to design enterprise-level data architectures aligned with mission objectives.
  • Strong conceptual thinking and the ability to translate mission needs into technical data solutions.
  • Recognition and application of data architecture design patterns.
  • Experience creating performance-optimized physical data models.
  • Proficiency with data modeling tools (e.g., InfoSphere, ERWin).
  • Understanding of big data technologies and high-volume, real-time data processing environments.
  • Active Top Secret Clearance or must be capable/eligible of obtaining such upon employment. (Security Clearance requires US Citizenship)

Desired Skills and Qualifications:

  • 12+ years of experience in data analysis or related fields.
  • Experience with programming languages such as Python, Java, C++, SQL.
  • Hands-on experience with big data frameworks, data integration tools, and analytics platforms.
  • Experience with UML, Sybase PowerCenter, or similar modeling suites.
  • Working knowledge of Informatica B2B Data Exchange.
  • Experience with OSCAL, automated control inheritance, or direct eMASS integrations.
  • Experience with search, content recommendation, and sequencing algorithms.
  • Understanding of Supply Chain Risk Management or sensitive/critical program data handling.
  • AWS Certified Data Analytics--Specialty, Azure Data Engineer/Architect, CDMP, CISSP

Certifications:

Applicable Certifications include but are not limited to any of the following:Security+, CISSP, AWS/Azure data engineering/architect


Equal Opportunity Employer/Affirmative Action Employer M/F/D/V: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, sexual orientation, gender identity, or any other characteristic protected by law. *Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

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