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Data Engineer Architect Jobs in Alabama (NOW HIRING)

Data Engineer IV

Birmingham, AL

$107K - $128K/yr

The Data Engineer IV performs complex data operations focusing on transformation and quality ... Develop and manage data architecture, including databases and data warehouses, to ensure efficient ...

Senior Data Engineer

Huntsville, AL · Hybrid

$104K - $141K/yr

Architect end-to-end data solutions across dev UAT prod environments using Unity Catalog * Lead and ... Define and enforce data engineering standards - naming conventions, partitioning strategies ...

Senior Data Engineer

Huntsville, AL · On-site

$77K - $176K/yr

R0238400 Data Engineer, Senior The Opportunity: Ever-expanding technology like IoT, machine ... Experience performing tuning on data lake architecture to optimize cloud storage and pipeline ...

Data Architect

Huntsville, AL · On-site

$110 - $170/hr

... or programming languagesCloud PlatformsAmazon Web Services (AWS)Microsoft AzureGoogle Cloud ... Architect ExpertGoogle Professional Data EngineerCloudera Certified Professional (CCP) Data ...

Data Architect

Mobile, AL · On-site

$63.25 - $81.25/hr

We're ALTEN Technology USA, an engineering company helping clients bring groundbreaking ideas to ... We are seeking an experienced Data Architect who can design and support scalable enterprise data ...

Showing results 41-60

Data Engineer Architect information

See Alabama salary details

$41.7K

$149.6K

$220.7K

How much do data engineer architect jobs pay per year?

As of Aug 12, 2026, the average yearly pay for data engineer architect in Alabama is $149,570.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,000.00 and $154,100.00 per year, depending on experience, location, and employer.

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

To thrive as a Data Engineer Architect, you need expertise in data modeling, ETL processes, big data platforms, and a strong background in computer science or a related field. Proficiency with tools and systems such as Hadoop, Spark, SQL/NoSQL databases, and cloud platforms like AWS or Azure, along with relevant certifications, is highly valued. Strong problem-solving, communication, and project management skills distinguish top performers in this role. These capabilities are crucial for designing scalable, reliable data architectures that support business analytics and decision-making.

What is the difference between Data Engineer Architect vs Data Engineer?

AspectData Engineer ArchitectData Engineer
CredentialsBachelor's/Master's in CS, certifications like AWS, GCP, or AzureBachelor's in CS, certifications like AWS, GCP, or Azure
Work EnvironmentDesigns data infrastructure, collaborates with architects and stakeholdersBuilds and maintains data pipelines, works with data storage and processing
Employer & Industry UsageUsed in organizations with complex data architecture needsCommon across industries for data processing tasks

The main difference is that Data Engineer Architects focus on designing and planning the overall data infrastructure, while Data Engineers implement and maintain the pipelines and systems. Architects have a broader strategic role, whereas Engineers focus on execution and operational tasks.

How does a data engineer architect typically collaborate with data scientists and business analysts on large-scale projects?

A Data Engineer Architect plays a pivotal role in facilitating collaboration between data scientists, business analysts, and other stakeholders by designing robust data pipelines and scalable architectures that ensure reliable, timely access to data. They often gather requirements, translate business needs into technical solutions, and oversee the integration of diverse data sources. Regular communication and joint planning sessions help align the data infrastructure with analytical goals, making teamwork and cross-functional coordination essential aspects of the role. This collaborative environment fosters innovative problem-solving and ensures that the data architecture supports both immediate project needs and long-term business objectives.

What is a data engineer architect?

A Data Engineer Architect is a professional responsible for designing, building, and maintaining the architecture that allows organizations to collect, store, process, and analyze large volumes of data. They create scalable and reliable data pipelines, choose appropriate technologies, and ensure that data systems meet business requirements for performance and security. Data Engineer Architects often collaborate with data scientists, analysts, and other engineers to optimize data workflows and support decision-making processes. Their expertise is crucial for organizations looking to leverage big data and advanced analytics.
What cities in Alabama are hiring for Data Engineer Architect jobs? Cities in Alabama with the most Data Engineer Architect job openings:

Digital Engineering Data Solutions Architect (MTS2)

Draper

Huntsville, AL • On-site

$62.75 - $80.75/hr

Full-time

Re-posted 22 days ago


Job description

Overview:

Draper is an independent, nonprofit research and development company headquartered in Cambridge, MA. The 2,000+ employees of Draper tackle important national challenges with a promise of delivering successful and usable solutions. From military defense and space exploration to biomedical engineering, lives often depend on the solutions we provide. Our multidisciplinary teams of engineers and scientists work in a collaborative environment that inspires the cross-fertilization of ideas necessary for true innovation. For more information about Draper, visit www.draper.com.

Job Description Summary:

The Data Retrieval, Engineering, Architecture, and Management (DREAM) Group at Draper is seeking a Digital Engineering Data Solutions Architect to develop next generation Relational Cross Domain Data Digital Engineering Architecture for domains such as: strategic deterrent systems, missile defense systems, hypersonic missiles, space systems, precision guided munitions, and autonomous air/sea vehicles. Our multi-disciplinary teams innovate and develop solutions for full system development lifecycle in areas of importance for national security.
Draper has adopted an integrated, model-driven digital mindset in solving Systems Engineering problems spanning the entire lifecycle. From early-lifecycle conceptual system design and architecture, detailed modeling, model-driven customer reviews, verification and validation, integration and testing, to deployment, surveillance and performance monitoring, Draper has a suite of Digital Engineering solution needs across our projects. Our thinking spans the entire gamut, from "as-designed" to "as-deployed" lifecycle phases in supporting uncompromised delivery of solutions.
For this role, the ideal candidate will work as part of an interdisciplinary team. The candidate will support the development of digital capabilities like digital twins and digital threads, working closely with experienced engineers to learn and apply best practices. This role provides a foundation for growing expertise in data architecture, systems engineering, and advanced computing, with opportunities to contribute to innovative solutions. Communications and interpersonal skills are highly valued in this role. The ability to communicate technical concepts effectively with customers, engineers, managers, and other stakeholders of all relevant disciplines is a must. Flexibility to multi-task and adapt to evolving priorities will be required. We value continuous learning and professional growth.
The preferred qualifications for this job include:
- An M.S. degree or higher in Aerospace, Mechanical, or Electrical Engineering, Physics, Mathematics, Computer Science, or related field
- Knowledge and interest in interdisciplinary work spanning Systems Engineering, Machine Learning and Data Science.
- Experience with relational Ontologies, APIs, designing schemas for workflows
- Experience with various types of data, data states, frequency, volume
- Experience in managing data from interdisciplinary and various program protection levels

Job Description:

Duties/Responsibilities
Performs analysis approaches for a particular problem and independently execute assignments.
Independently execute system engineering lifecycle assignments; concept and architecture design, integration, testing and operation.
Contribute high quality content for technical reports and presentations with minimal guidance
Proactively identify needs and concerns associated with design decisions and communicate them to project leadership
Contribute to the updates of best practices and processes to reflect the most up to date tools and procedures.
Work in a collaborative multidisciplinary environment including stakeholders and external partners.
Contribute to translation of requirements into technical and architectural decisions.
Performs other duties as assigned.
Skills/Abilities
Excellent mathematical skills.
Thorough understanding of engineering theories and procedures.
Ability to collaborate within a diverse and multidisciplinary team.
Excellent verbal and written communication skills.
Excellent organizational skills and attention to detail.
Excellent time management skills with the proven ability to meet deadlines.
Ability to become knowledgeable in various problem domains, identify relevant modeling and analysis techniques, and develop or integrate multi-domain qualitative models.
Ability to present results that support system-level analysis, performance trade-offs, and decision-making is critical, thus communications and interpersonal skills are highly valued in this role.
The ability to communicate technical concepts effectively with customers, engineers, managers, and other stakeholders of all relevant disciplines is a must.
Flexibility to multi-task and adapt to evolving priorities.
Knowledge and interest in interdisciplinary work spanning Systems Engineering, Model based Systems Engineering (MBSE), Trade Space Exploration (TSE), Machine Learning and Data Science.
Education
Bachelor's degree in Aerospace, Electrical, Mechanical, or other relevant Engineering field. Master's degree preferred.
Experience
Requires 3-5 years experience in systems analysis or related.
Experience in use of MBSE tools such as SysML, knowledge in MATLAB/Simulink.
Experience in integrating descriptive modeling tools with other simulation tools.

Additional Job Description:

Applicants selected for this position will be required to obtain and maintain a government security clearance.

Connect With Draper for Future Opportunities! If you don't find the right posting in our Career Opportunities, you may submit your resume for future consideration.

Job Location - City:

Cambridge

Job Location - State:

Massachusetts

Job Location - Postal Code:

02139-3563

The US base salary range for this full-time position is

$75,000.00 - $150,000.00

Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Union ranges will be in compliance with the collective bargaining agreement's approved rates by location and role. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.Please note that the compensation details listed in US role postings reflect the base salary only, and does not include bonuses or benefits.

Our work is very important to us, but so is our life outside of work. Draper supports many programs to improve work-life balance including workplace flexibility, employee clubs ranging from photography to yoga, health and finance workshops, off site social events and discounts to local museums and cultural activities. If this specific job opportunity and the chance to work at a nationally renowned R&D innovation company appeals to you, apply now www.draper.com/careers.

Draper is committed to creating an inclusive environment. We understand the value of inclusivity and its impact on a high-performance culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, national origin, veteran status, or genetic information. Draper is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation, please contact hr@draper.com.