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Data Systems Jobs in Georgia (NOW HIRING)

LVTLABS\-Magus

Data Engineering Lead

Alpharetta, GA · On-site

The successful candidate will be responsible for the end\-to\-end design, implementation, and maintenance of scalable data systems that align with business needs. Key Responsibilities: \n \n * Design ...

Saransh Inc

Associate Data Architect

Alpharetta, GA · On-site

$62.25 - $80/hr

Work with various database management systems (RDBMS, NoSQL) and data warehousing tools (Databricks, Snowflake, Redshift).Leverage big data frameworks (e.g., Spark) and cloud platforms (e.g., Azure ...

KGS Technology Group Inc

Data Analyst

Alpharetta, GA · On-site +1

Responsibilities • Interpret data, analyze results using statistical techniques and provide ongoing reports • Develop and implement databases, data collection systems, data analytics and other ...

KGS Technology Group Inc

Data Analyst

Alpharetta, GA · On-site

Responsibilities Interpret data, analyze results using statistical techniques and provide ongoing reports Develop and implement databases, data collection systems, data analytics and other strategies ...

Neptune

Enterprise Data Practice Manager

Duluth, GA · On-site

We make data actionable using effective software and measurement systems that are interconnected by a smart network, with expertise and experience specifically focused on the business of water. The ...

Lorven Technologies

Data Architect

Alpharetta, GA · On-site

$62.25 - $80/hr

This role requires a rare blend of deep engineering roots, enterprise architectural foresight, and innovation leadership to build data systems that are not just scalable, but "future-proof." Key ...

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Showing results 21-40

All JobsData Systems JobsData Systems Jobs in Georgia

Data Systems information

See Georgia salary details

$38.8K

$94.6K

$166.3K

How much do data systems jobs pay per year?

As of Aug 20, 2026, the average yearly pay for data systems in Georgia is $94,567.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,400.00 and $114,800.00 per year, depending on experience, location, and employer.

What are data systems?

Data systems are organized collections of hardware, software, procedures, and personnel designed to capture, store, manage, and analyze data. They help organizations collect information from various sources, store it efficiently, and make it accessible for analysis and decision-making. Data systems can include databases, data warehouses, data lakes, and cloud storage solutions. They play a crucial role in supporting business operations, analytics, and reporting by ensuring data integrity and security.

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

To thrive in Data Systems, you need expertise in data management, database design, and data analysis, typically supported by a degree in computer science or information systems. Familiarity with SQL, data warehousing tools, cloud platforms, and relevant certifications such as AWS Certified Data Analytics or Microsoft Certified: Data Analyst Associate is often required. Strong problem-solving skills, attention to detail, and effective communication set top professionals apart in this field. These skills and qualifications are crucial to efficiently manage, secure, and leverage data for informed business decision-making.

What are some common challenges faced by professionals in data systems roles, and how can they be addressed?

Professionals in Data Systems often encounter challenges such as integrating diverse data sources, ensuring data quality, and maintaining system scalability as data volumes grow. Addressing these issues usually involves working closely with cross-functional teams, adopting robust data governance practices, and leveraging automation tools for data validation and transformation. Proactively staying up-to-date with emerging technologies and industry standards can also help mitigate technical hurdles and ensure system reliability.

What is the difference between Data Systems vs Data Analysts?

AspectData SystemsData Analysts
Required CredentialsTypically certifications in database management, data architecture, or related fieldsOften hold degrees or certifications in data analysis, statistics, or business intelligence
Work EnvironmentWork with database systems, data infrastructure, and software toolsAnalyze data sets, create reports, and interpret data insights
Employer & Industry UsageUsed in IT, data management, and enterprise systems across various industriesCommon in marketing, finance, healthcare, and business sectors

Data Systems focus on managing, maintaining, and optimizing data infrastructure, while Data Analysts interpret data to support decision-making. Both roles are essential in data-driven organizations but serve different functions within the data ecosystem.

What are the most commonly searched types of Data Systems jobs in Georgia?

The most popular types of Data Systems jobs in Georgia are:

Data Systems jobs near you
Infographic showing various Data Systems job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 10% Part Time, 8% Contract, and 3% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $94,567 per year, or $45.5 per hour.

Big Data & AI Solutions Architect - Q125

R2 Technologies Corporation

Alpharetta, GA • On-site

$62.25 - $80/hr

Full-time

Medical, Retirement, PTO

Re-posted 16 days ago

Job description

Overview:
Big Data & AI Solutions Architect
Location: Alpharetta, GA (willing to travel to client locations)
Employment Type: Full-Time (W2)
Role Overview
We are seeking an innovative Big Data & AI Solutions Architect to design integrated data and AI solutions on cloud platforms. This role focuses on architecting data lakes, warehouses, and machine learning systems for enterprise analytics.
Key Responsibilities
  • Architect big data solutions integrating AI and machine learning on cloud platforms like AWS, Azure, or GCP.
  • Design and implement data lakes and data warehouses to support scalable analytics and AI workloads.
  • Lead the integration of machine learning models into big data pipelines for predictive insights.
  • Collaborate with stakeholders to align data architectures with business objectives and AI strategies.
  • Ensure scalability, security, and performance of big data and AI systems in cloud environments.
  • Mentor teams on best practices for designing data-driven architectures with AI capabilities.

Required Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
  • 3 years of experience in big data architecture with a focus on AI and machine learning integration.
  • Proficiency in designing data lakes and data warehouses on cloud platforms (AWS, Azure, or GCP).
  • Strong understanding of distributed data systems and machine learning workflows.
  • Experience leading architectural initiatives for big data and AI-driven projects.

Preferred Qualifications
  • Familiarity with advanced tools like Snowflake or Databricks for unified data and AI platforms.
  • Exposure to MLOps practices for deploying and managing AI models in production.
  • Knowledge of cloud cost optimization and security best practices for big data systems.

Compensation & Benefits
  • Competitive salary and comprehensive benefits package (healthcare, PTO, 401k).
  • Opportunities for professional growth and upskilling in AI and cloud technologies.

R2 Technologies Corporation is an equal opportunity employer and values diversity in the workplace.
Skills:
Big Data, Architect, AI, Machine Learning, AWS, Azure, GCP, Data Lake, Data Warehouse

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