ZipRecruiter

Log In

1

Data Recovery Jobs in Alabama (NOW HIRING)

Vets Recover

Peer Support Specialist

Mobile, AL · On-site

$17.25 - $22/hr

The PSS supports clients with mental illness through shared recovery experience. Responsibilities include: * Collect data from clients at intake and follow-ups * Document all services and submit in a ...

Kundlas Consulting Group LLC

Geologist

Mobile, AL · On-site

Collect and analyze groundwater, soil, and geological samples to support environmental assessments and recovery planning. * Interpret geological and geophysical data to identify subsurface conditions ...

Doist

Enterprise Architect

Huntsville, AL · On-site

$113 - $158/hr

Architect scalable backup and recovery solutions compatible with Linux NFS, Windows SMB, the existing Enterprise SAN, Cohesity, Dell PowerProtect Data Manager, VMware Replication, and vSAN ...

New

Medium

Enterprise Architect

Huntsville, AL · On-site

$113 - $158/hr

Architect scalable backup and recovery solutions compatible with Linux NFS, Windows SMB, the existing Enterprise SAN, Cohesity, Dell PowerProtect Data Manager, VMware Replication, and vSAN ...

PingWind, Inc.

Enterprise Architect

Huntsville, AL · On-site

$113 - $158/hr

Architect scalable backup and recovery solutions compatible with Linux NFS, Windows SMB, the existing Enterprise SAN, Cohesity, Dell PowerProtect Data Manager, VMware Replication, and vSAN ...

PingWind

Enterprise Architect

Huntsville, AL · On-site

$113 - $158/hr

Architect scalable backup and recovery solutions compatible with Linux NFS, Windows SMB, the existing Enterprise SAN, Cohesity, Dell PowerProtect Data Manager, VMware Replication, and vSAN ...

Socket.dev

Enterprise Architect

Huntsville, AL · On-site

$113 - $158/hr

Architect scalable backup and recovery solutions compatible with Linux NFS, Windows SMB, the existing Enterprise SAN, Cohesity, Dell PowerProtect Data Manager, VMware Replication, and vSAN ...

PingWind

Enterprise Architect

Huntsville, AL

$68 - $87.75/hr

Architect scalable backup and recovery solutions compatible with Linux NFS, Windows SMB, the existing Enterprise SAN, Cohesity, Dell PowerProtect Data Manager, VMware Replication, and vSAN ...

BlueWater Federal Solutions

Oracle DBA

Montgomery, AL · On-site

$50.25 - $68.25/hr

Experience with SQL Server, Azure, SQL, Performance tuning, Data migration and Backup/recovery * Must have an active Secret clearance BlueWater Federal is proud to be an Equal Opportunity Employer.

PingWind

Enterprise Architect

Huntsville, AL · On-site

$68 - $87.75/hr

Architect scalable backup and recovery solutions compatible with Linux NFS, Windows SMB, the existing Enterprise SAN, Cohesity, Dell PowerProtect Data Manager, VMware Replication, and vSAN ...

previous page

Showing results 41-60

All JobsData Recovery JobsData Recovery Jobs in Alabama

Data Recovery information

See Alabama salary details

$8

$22

$48

How much do data recovery jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for data recovery in Alabama is $22.66, according to ZipRecruiter salary data. Most workers in this role earn between $13.42 and $33.54 per hour, depending on experience, location, and employer.

What is a data recovery?

A Data Recovery job involves retrieving lost, corrupted, or inaccessible data from storage devices like hard drives, SSDs, USB drives, and memory cards. Professionals in this field use specialized software and hardware tools to recover files that may have been deleted, damaged, or lost due to system failures, malware, or physical damage. They also assess storage media, implement recovery strategies, and ensure data integrity. Many data recovery specialists work for IT services, forensic teams, or businesses that require critical data restoration.

What are the most common challenges faced in a data recovery role?

Professionals in Data Recovery often encounter challenges such as working with severely damaged hardware, complex data loss scenarios, or dealing with encryption and proprietary file systems. These situations require both technical proficiency and creative problem-solving to recover as much data as possible without compromising its integrity. Additionally, managing client expectations and clearly communicating recovery outcomes are important aspects of the job. Team members may collaborate with IT support staff, security professionals, or legal teams to address various cases. These challenges make the work dynamic and rewarding for those who enjoy solving technical puzzles and providing critical support to clients.

What are the key skills and qualifications needed to thrive in the data recovery position, and why are they important?

To thrive in Data Recovery, you need expertise in data storage systems, file structures, and troubleshooting techniques, often supported by a degree in information technology or a related field. Familiarity with industry-standard recovery tools such as EnCase, R-Studio, and forensic software, along with relevant certifications like Certified Data Recovery Professional (CDRP), is highly valued. Strong analytical thinking, attention to detail, and effective communication are essential soft skills for diagnosing problems and interacting with clients. These competencies are vital for successfully retrieving lost data, maintaining data integrity, and ensuring customer satisfaction under often time-sensitive conditions.

How do you become a data recovery specialist?

To become a data recovery specialist, you typically need a background in computer science, information technology, or a related field, along with knowledge of file systems, storage devices, and data recovery tools. Gaining experience through certifications such as Certified Data Recovery Professional (CDRP) or training in forensic data recovery can improve job prospects. Strong problem-solving skills and familiarity with hardware and software troubleshooting are also important.

What are popular job titles related to Data Recovery jobs in Alabama?

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

What job categories do people searching Data Recovery jobs in Alabama look for?

The top searched job categories for Data Recovery jobs in Alabama are:

Data Recovery jobs near you
Infographic showing various Data Recovery job openings in Alabama as of August 2026, with employment types broken down into 76% Full Time, and 24% Contract. Highlights an 100% In-person job distribution, with an average salary of $47,142 per year, or $22.7 per hour.

Cloud Solutions Architect / Database Engineer / AI Platform Architect

ABCO Maintenance

Montgomery, AL • On-site

$150K - $180K/yr

Full-time

Posted 15 days ago

Job description

EOE Statement
We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status or any other characteristic protected by law.
Category
Information Technology
Description
We are seeking a highly experienced Cloud Solutions Architect / Database Engineer / AI Platform Architect to design and build the cloud, database, security, API, and AI infrastructure that supports our enterprise applications. Compensation for this role will be between $150k-$180k depending on experience.
This role will be responsible for establishing scalable cloud architecture, designing and engineering production databases, developing secure APIs and integration services, implementing authentication and application security standards, and architecting the AI foundation of our applications. The architect will build the backend and AI service layers that allow front-end developers to securely and efficiently consume application data, business functionality, and AI-powered capabilities.
The ideal candidate will have deep expertise in cloud architecture, C#/.NET, SQL Server, database engineering, REST APIs, application security, authentication, Azure or AWS, enterprise integrations, and production AI architecture. This individual should be capable of taking business and application requirements and translating them into secure, scalable, production-ready technical solutions.
Experience with AI and Large Language Model (LLM) platforms is required, particularly when designing the infrastructure, data access, security, APIs, and application architecture necessary to support AI-powered enterprise solutions. The ideal candidate will have hands-on experience building production AI applications using OpenAI, Azure OpenAI, Anthropic, Google AI, or comparable LLM technologies, including designing workflows that enable AI to execute complex business processes through structured instructions, examples, retrieval strategies, orchestration, and enterprise data integration. This role requires experience developing AI as an operational component of an application, not simply integrating an AI API or adding chatbot functionality.
Responsibilities
  • Architect and implement scalable, secure, and highly available cloud environments for enterprise applications.
  • Design the overall backend architecture supporting web applications, internal systems, integrations, and AI-powered solutions.
  • Design, build, and maintain production database environments, including schemas, tables, relationships, stored procedures, views, indexing strategies, and data-access patterns.
  • Develop and optimize SQL Server databases for performance, scalability, reliability, data integrity, and security.
  • Establish database standards covering data modeling, normalization, indexing, query optimization, auditing, backup, recovery, and disaster recovery.
  • Design and develop secure RESTful APIs and backend services using C#, ASP.NET Core, and related .NET technologies.
  • Build well-structured API and service layers that allow front-end developers to consume data and business functionality without requiring direct access to backend systems or databases.
  • Define API contracts, request/response models, validation standards, error handling, versioning, documentation, and integration patterns.
  • Implement authentication and authorization solutions using technologies and standards such as OAuth 2.0, OpenID Connect, JWT, SSO, RBAC, and enterprise identity providers.
  • Design and enforce application and API security standards, including SSL/TLS, encryption, secrets management, certificate management, secure configuration, and least-privilege access.
  • Implement secure communication between cloud services, databases, APIs, external systems, AI services, and front-end applications.
  • Design cloud networking and infrastructure components including application hosting, databases, storage, identity, networking, firewalls, gateways, load balancing, monitoring, logging, and availability strategies.
  • Develop integration architectures for internal systems, third-party applications, vendor APIs, and enterprise platforms.
  • Design data pipelines, ETL processes, data transformation services, and system-to-system integrations where required.
  • Establish logging, monitoring, auditing, alerting, and observability standards across backend services and cloud infrastructure.
  • Design scalable architectures capable of supporting increasing users, transaction volumes, data volumes, integrations, AI workloads, and application workloads.
  • Implement caching, asynchronous processing, queues, background services, and other distributed architecture patterns when appropriate.
  • Develop and maintain CI/CD pipelines and infrastructure deployment processes.
  • Work closely with front-end developers to define API requirements, data contracts, authentication flows, AI service interactions, and integration standards.
  • Design and implement AI workflow architectures that enable Large Language Models to perform complex business functions by defining process sequences, system instructions, prompt strategies, retrieval mechanisms, examples, evaluation methods, tool interactions, and orchestration workflows.
  • Architect AI systems capable of incorporating enterprise knowledge and business processes through structured process definitions, contextual examples, retrieval, tool use, and iterative refinement so that AI can reliably execute operational business tasks.
  • Design Retrieval-Augmented Generation (RAG) architectures that securely retrieve relevant enterprise information from databases, documents, APIs, vector stores, and other approved business data sources.
  • Design secure AI integration patterns that control how LLMs access enterprise databases, APIs, internal systems, and sensitive business information.
  • Establish AI evaluation, testing, monitoring, and quality standards to measure accuracy, reliability, consistency, security, and effectiveness of AI-powered workflows.
  • Collaborate with business stakeholders and development teams to translate application requirements and business processes into technical and AI architectures.
  • Evaluate technical risks, scalability requirements, security concerns, infrastructure costs, AI usage costs, and architectural tradeoffs.
  • Conduct architecture and code reviews and establish backend, database, API, cloud, security, and AI development standards.
  • Provide technical leadership and mentoring to developers working within the architecture.

Position Requirements
Qualifications
  • 8+ years of professional software development, cloud engineering, database engineering, or software architecture experience.
  • Demonstrated experience designing production cloud and backend architectures for enterprise applications.
  • Strong expertise with C#, .NET, ASP.NET Core, and RESTful API development.
  • Advanced SQL Server and database engineering experience.
  • Strong experience with relational data modeling, database architecture, stored procedures, indexing, query optimization, execution plans, and performance tuning.
  • Experience designing databases for high-volume, production enterprise applications.
  • Strong experience designing secure API and service architectures consumed by modern web applications.
  • Strong understanding of API contracts, versioning, validation, error handling, documentation, and service-layer architecture.
  • Extensive experience with authentication and authorization technologies including OAuth 2.0, OpenID Connect, JWT, SSO, and role-based access control.
  • Strong understanding of SSL/TLS, encryption, certificate management, secrets management, secure credential storage, and application security best practices.
  • Production experience with Microsoft Azure, AWS, or comparable enterprise cloud environments.
  • Experience designing cloud networking, compute, storage, database, identity, monitoring, and security infrastructure.
  • Strong understanding of distributed systems, scalability, availability, fault tolerance, disaster recovery, and production support.
  • Experience with Git, CI/CD methodologies, deployment pipelines, and automated application deployment.
  • Demonstrated experience designing, building, and deploying AI-powered applications using OpenAI, Azure OpenAI, Anthropic, Google AI, or similar LLM platforms. Candidates should have experience creating AI workflows that enable models to perform business processes through structured prompts and system instructions, process sequencing, examples, retrieval, evaluation, tool use, orchestration, and production integration-not simply consuming AI APIs.
  • Experience designing AI capabilities as integrated components of enterprise applications and business workflows.
  • Ability to translate business processes into technical workflows, data requirements, API interactions, AI instructions, and system architectures.
  • Strong troubleshooting, analytical, documentation, and communication skills.
  • Experience providing technical leadership, architecture guidance, and mentoring to software development teams.

Preferred Skills
  • Microsoft Azure architecture experience, including services such as Azure App Service, Azure SQL, Azure Functions, Azure Storage, Key Vault, Microsoft Entra ID, API Management, Application Insights, and Azure networking.
  • Experience with AWS or multi-cloud architectures.
  • Experience with Docker, Kubernetes, containerized applications, and container orchestration.
  • Experience with API gateways, reverse proxies, load balancers, message queues, caching platforms, and event-driven architectures.
  • Experience with Infrastructure as Code technologies such as Terraform, Bicep, ARM templates, or CloudFormation.
  • Experience designing enterprise integration architectures and ETL/data-processing pipelines.
  • Experience with data warehousing, reporting databases, and business intelligence architectures.
  • Hands-on experience designing and building production AI applications using OpenAI, Azure OpenAI, Anthropic, Google AI, or comparable generative AI platforms.
  • Experience architecting AI workflows, prompt engineering, system instructions, Retrieval-Augmented Generation (RAG), vector databases, embeddings, semantic search, AI agents, tool/function calling, orchestration frameworks, and evaluation methodologies for enterprise AI solutions.
  • Experience designing AI systems that incorporate business workflows through structured process definitions, contextual examples, enterprise knowledge retrieval, tool use, and iterative refinement, enabling AI to reliably execute operational business tasks.
  • Experience designing secure architectures that allow AI systems to interact with enterprise databases, APIs, internal systems, and business information while maintaining appropriate authorization and data-access controls.
  • Familiarity with Angular, React, Blazor, or other modern front-end frameworks sufficient to effectively design APIs and services supporting front-end development.
  • Experience with IIS and Windows Server environments.
  • Experience with automated testing, performance testing, security testing, and vulnerability management.

Role Focus
This position is primarily an architecture, backend infrastructure, database, security, and AI platform role, not a front-end development position.
The successful candidate will own the technical foundation behind our applications:
Cloud Infrastructure → Security & Identity → Databases → Backend Services → APIs → AI Services → Front-End Applications
The architect will ensure that front-end developers have secure, reliable, well-documented APIs and services through which application functionality, enterprise data, and AI capabilities can be accessed.
In addition to owning the cloud, database, security, integration, and API architecture, this role will play a critical part in designing the AI foundation of our platform. We are building enterprise applications in which AI is an operational component of the business process, not simply a chatbot or standalone feature.
The successful candidate will have proven experience building AI-powered products that enable Large Language Models to execute business workflows through structured process design, system instructions, contextual examples, retrieval strategies, tool use, orchestration, evaluation, and enterprise integrations. Experience building production solutions using OpenAI, Azure OpenAI, or comparable LLM platforms is considered a core requirement of this role.
The overall goal of this position is to establish a secure, scalable, maintainable, and production-ready cloud and AI architecture that provides the foundation on which our front-end applications and future intelligent business capabilities are built.
Full-Time/Part-Time
Full-Time
Position
IT SUPPORT PROFESSIONAL
Number of Openings
1
Open Date
8/7/2026
Location
Alabama
About the Organization
This position is currently accepting applications.

Apply