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Data Architect Jobs in Alabama (NOW HIRING)

Redhorse Corporation

Senior Data Architect

Huntsville, AL · On-site

$140K - $160K/yr

To support this mission, we are seeking a Senior Data Architect to lead the development of enterprise-scale database projects and manage the technical talent behind them. In this role, you will be ...

Redhorse Corporation

Senior Data Architect

Huntsville, AL · On-site

$140K - $160K/yr

To support this mission, we are seeking a Senior Data Architect to lead the development of enterprise-scale database projects and manage the technical talent behind them. In this role, you will be ...

Redhorse Corporation

Senior Data Architect

Huntsville, AL · On-site

$140K - $160K/yr

To support this mission, we are seeking a Senior Data Architect to lead the development of enterprise-scale database projects and manage the technical talent behind them. In this role, you will be ...

CGI Inc.

Sr. Data Architect

Huntsville, AL · On-site

$66.25 - $88.75/hr

Sr. Data Architect Category: Database Administration Main location: United States, Alabama, Huntsville Position ID:J0826-2031 Employment Type: Full Time U.S. - CGI Federal roles - Keeping Americans ...

L3HHCM20

Lead, Data Architect

Huntsville, AL

Lead, Data Architect Job Code: 42911 Job Location: Huntsville, AL (Headquarters) Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off ...

Harris Corporation

Lead, Data Architect

Huntsville, AL · On-site

Lead, Data Architect Job Code: 42911 Job Location: Huntsville, AL (Headquarters) Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off ...

New

L3HHCM20

Senior Specialist, Data Architect

Huntsville, AL

$62.75 - $83.75/hr

Senior Specialist, Data Architect Job Code: 40982 Job Location: Huntsville, AL Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off ...

Saicon

Senior Data Analytics Architect

Huntsville, AL · On-site

$64 - $85.75/hr

Seeking an experienced Data Scientist (Senior Data Analytics Architect - L4) with extensive expertise in data modeling, data architecture, code architecture, system design, business intelligence ...

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All JobsData Architect JobsData Architect Jobs in Alabama

Data Architect information

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How much do data architect jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for data 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 is a data architect?

A data architect handles the creation and management of data systems for a business, school, health care facility, government agency, or other organization. As a data architect, your job duties include the design of data models, the development of data storage systems, and overall data management. Your job requires experience with various software and computer programming languages, systems, and utilities, such as SQL, Oracle, and BusinessObjects, Hadoop, big data systems, data warehousing, and ETL (extract, transform, load). Additional qualifications for this career include excellent problem-solving skills.

How does a data architect typically collaborate with other IT and business teams during a data infrastructure project?

Data Architects play a central role in bridging technical teams and business stakeholders. They work closely with database administrators, data engineers, and software developers to design robust and scalable data solutions. Additionally, Data Architects often consult with business analysts and project managers to ensure that the data infrastructure aligns with organizational goals and regulatory requirements. Regular meetings and clear documentation are common practices to facilitate effective communication and ensure project success.

What are the key skills and qualifications needed to thrive as a data architect, and why are they important?

To thrive as a Data Architect, you need a strong background in data modeling, database design, and systems architecture, typically supported by a degree in computer science or a related field. Expertise with tools and technologies such as SQL, NoSQL, ETL processes, data warehousing platforms, and certifications like AWS Certified Data Analytics or Google Professional Data Engineer are highly valued. Strong problem-solving, communication, and project management skills help you translate business needs into scalable technical solutions and collaborate across teams. These skills ensure robust, efficient data infrastructure that supports accurate analytics and informed decision-making for the organization.

What is the difference between Data Architect vs Data Engineer?

AspectData ArchitectData Engineer
Required CredentialsBachelor's or Master’s in Computer Science, certifications like TOGAF or AWS Certified Data AnalyticsBachelor's in Computer Science, certifications like Google Cloud Professional Data Engineer or AWS Certified Data Analytics
Work EnvironmentDesigns data systems, collaborates with stakeholders, plans data infrastructureBuilds, maintains, and optimizes data pipelines and databases
Employer & Industry UsageUsed across industries for data strategy and architecture planningCommonly employed in data-driven companies for data processing and pipeline development

While both roles work closely with data systems, a Data Architect focuses on designing the overall data infrastructure and strategy, whereas a Data Engineer implements and maintains the data pipelines and systems based on that architecture.

How much does a data architect get paid?

Data architects typically earn a salary ranging from $90,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in cloud platforms and data modeling can command higher compensation.

Is a data architect in demand?

Yes, data architects are in high demand due to the increasing need for organizations to manage and analyze large volumes of data. They typically require expertise in database design, data modeling, and tools like SQL and cloud platforms, making their skills highly sought after across various industries.

What do you do as a data architect?

A data architect designs, creates, and manages an organization’s data infrastructure and architecture to ensure data is accessible, reliable, and secure. They develop data models, establish data standards, and work with database management systems and tools to support data integration and analytics. Strong knowledge of data warehousing, SQL, and data governance is essential for this role.
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For Data Architect jobs in Alabama, the most frequently searched job titles are:

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Data Architect jobs near you
Infographic showing various Data Architect job openings in Alabama as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, 1% Temporary, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $131,931 per year, or $63.4 per hour.

SENIOR DATA ARCHITECT

Quantum Research International Inc

Huntsville, AL • On-site

$62.75 - $83.75/hr

Full-time

Re-posted 3 days ago

Key responsibilities

  • Design, develop, and maintain scalable data architectures supporting data ingestion, integration, storage, modeling, governance, and analytics.

  • Architect end-to-end data pipelines for ingesting, transforming, and enriching heterogeneous data while ensuring security compliance.

  • Lead the architecture and design of the business intelligence and analytics platform supporting ACIERS.

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.