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First Data Jobs in Georgia (NOW HIRING)

Senior Data Architect

Atlanta, GA · On-site

$150K - $160K/yr

AI-First Data Enablement * Apply an AI-first mindset to data architecture by designing data ... structures, metadata, retrieval patterns, and governance models that support machine learning ...

Senior Data Architect

Atlanta, GA · Hybrid

$64.75 - $86.50/hr

AI-First Data Enablement * Apply an AI-first mindset to data architecture by designing data ... structures, metadata, retrieval patterns, and governance models that support machine learning ...

Data Engineer

Atlanta, GA

$110K - $132K/yr

Build and support API-first data services, data contracts, and integration workflows using REST, JSON, SOAP where applicable, webhooks, and related patterns. * Develop orchestration and scheduling ...

Data Platform Engineer

Atlanta, GA · On-site +1

$110K - $132K/yr

Own the reliability, performance, and API first data platform, including monitoring, alerting, and on-call where appropriate * Implement best practices for data modeling, quality, lineage, and ...

Robotics Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Develop and maintain core libraries for programmatic, offline-first data analysis: the primary way engineers load mission data, run analysis, and generate consistent, high-quality visualizations for ...

Respiratory Therapist

Augusta, GA · On-site

$240 - $280/day

Our mission is to deliver virtual-first, data-driven pulmonary care at scale, ensuring patients and clinicians have access to high-quality respiratory care-no matter where they are. We're hiring ...

$156K - $227K/yr

Act as the first line of technical defense, rapidly diagnosing and resolving application, integration, and data-flow issues as they arise on end-user devices in live operational environments. What ...

Data Analyst

Atlanta, GA · On-site

$70K - $75K/yr

Collaborate with some of the most driven minds in tech, all while working in a remote-first ... Data Analyst Reports to: Head of Business Intelligence, Finance and Accounting Location: Atlanta ...

Data Engineer

Kennesaw, GA · On-site

$105K - $127K/yr

Responsibilities : • Architect and develop a Customer 360 using Salesforce Data 360 (formerly Data Cloud), integrating first-party and digital data (GA4, CRM, transactional, product usage). • ...

Manager, Data Analytics

Atlanta, GA · Hybrid

$111K - $145K/yr

Oscar is the first health insurance company built around a full stack technology platform and a ... The Data Analytics Manager works across and outside the organization to solve complex data issues.

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Showing results 1-20

First Data information

See Georgia salary details

$38.8K

$139.3K

$205.6K

How much do first data jobs pay per year?

As of Jul 27, 2026, the average yearly pay for first data in Georgia is $139,338.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,700.00 and $143,500.00 per year, depending on experience, location, and employer.

What is the difference between First Data vs Payment Processor?

AspectFirst DataPayment Processor
Credentials/CertificationsPayment industry certifications, such as PCI DSS complianceSimilar certifications, often required for compliance
Work EnvironmentFinancial services, merchant services, office settingsFinancial technology, merchant services, office environments
Employer & Industry UsageMajor provider of payment processing solutionsBroad term for companies handling electronic payments
Search & Comparison IntentUnderstanding services offered by First DataComparing different payment processing providers

First Data is a leading payment processor specializing in merchant services and electronic payment solutions. A payment processor is a broader term that includes any company facilitating electronic transactions. While First Data is a specific provider, payment processor refers to the industry category. Customers often compare First Data with other payment processors to find the best fit for their business needs.

What are the typical career advancement opportunities for someone working at First Data in a client services role?

At First Data, professionals in client services roles often have clear pathways to advance their careers. Starting as a client service representative, you can progress to team lead or supervisor positions, and later move into management or specialized roles such as account management or product support. The company values internal mobility and encourages employees to take advantage of training programs and mentorship opportunities. Career advancement is often supported by strong performance, networking within the organization, and demonstrated expertise in payment processing solutions.

How to get the first data entry job?

To get a first data entry job, focus on developing basic computer skills, proficiency in spreadsheet software like Excel, and attention to detail. Entry-level positions often require minimal experience, so creating a strong resume highlighting relevant skills and applying through job boards or company websites can improve your chances.

What jobs make $1,000,000 a year?

High-level executive roles such as Chief Executive Officers (CEOs), Chief Financial Officers (CFOs), and other C-suite positions in large corporations often earn $1,000,000 or more annually, typically through a combination of salary, bonuses, and stock options. Additionally, successful entrepreneurs, top investment bankers, and certain hedge fund managers can reach or exceed this income level, often requiring extensive experience, specialized skills, and significant responsibility.

What is a First Data job?

A First Data job typically refers to a position at First Data Corporation, a global payment technology solutions company that provides services like payment processing, point-of-sale solutions, and merchant services. Employees at First Data may work in roles related to technology, customer support, sales, finance, or business operations. First Data jobs are known for supporting the secure and efficient movement of money and data between consumers and businesses. The company has merged with Fiserv, so many positions are now listed under the Fiserv brand.

What is the highest paying data job?

In data-related roles, senior positions such as Data Science Director, Chief Data Officer, or Data Engineering Manager tend to have the highest salaries, often exceeding six figures depending on experience and location. These roles typically require advanced skills in data analysis, machine learning, and leadership, along with relevant certifications or advanced degrees.

What are the key skills and qualifications needed to thrive as a Payments Processing Specialist at First Data, and why are they important?

To thrive as a Payments Processing Specialist at First Data, you need strong analytical abilities, attention to detail, and a background in finance or business, often requiring a relevant degree or equivalent experience. Familiarity with payment processing platforms, risk management tools, and industry compliance systems like PCI DSS is essential. Excellent problem-solving skills, customer service orientation, and effective communication help you address client needs and resolve transaction issues efficiently. These skills ensure secure, accurate, and compliant transaction handling, which is critical in the fast-paced payments industry.

Does first data still exist?

First Data was a major payment processing company that was acquired by Fiserv in 2019. As a result, the First Data brand no longer exists independently, but its services and operations continue under Fiserv. Employees working in payment processing roles may now be part of Fiserv's organization.
What are popular job titles related to First Data jobs in Georgia? For First Data jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching First Data jobs in Georgia look for? The top searched job categories for First Data jobs in Georgia are:
What cities in Georgia are hiring for First Data jobs? Cities in Georgia with the most First Data job openings:
Infographic showing various First Data job openings in Georgia as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $139,338 per year, or $67 per hour.

Senior Data Architect

Coreforce

Atlanta, GA • On-site

$150K - $160K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 17 days ago


Job description

Apply today to join Coreforce, where your Data Architect expertise makes a real impact.
Join Our Team asaSenior Data Architect
Company: Coreforce
Location: Atlanta
Job Type: Full-time
Salary: Based on Experience
Company Overview:
Coreforce is an innovative SaaS company providing digital solutions for frontline professionals. Our products, body cameras, in-car videos, mobile routers, and digital evidence systems help public safety officers and first responders save lives, strengthen community trust, and enhance accountability.
Senior Data Architect - Build Your Career with Purpose
Join Coreforce and use your data architect skills to support innovative technology that strengthens communities.
WhyYou'llLove Working Here:
  • Flexible hybrid schedule
  • Free chef-inspired lunch Mon-Thu
  • Competitive benefits: medical, dental, vision, 401(k). We provide 401(k) matching per the terms of the 401(k) plan.
  • 15 PTO days + floating holiday
  • Annual bonus and tuition reimbursement
  • Career growth in a fast-growing, mission-driven company
  • Collaborative, purpose-driven culture

Responsibilities:
Data Architecture and Canonical Modeling
  • Define scalable, canonical data models that support product capabilities, integrations, analytics, reporting, and AI-enabled use cases.
  • Establish enterprise data modeling standards, naming conventions, domain models, schema design practices, and data lifecycle patterns.
  • Translate business and product requirements into durable logical and physical data models across operational and analytical systems.
  • Guide engineering teams in designing consistent data contracts, entity relationships, event structures, streaming data models, metadata models, and integration patterns.

Database and Data Store Strategy
  • Architect solutions using MySQL, PostgreSQL, MongoDB, and other structured, semistructured, and unstructured data stores.
  • Design and govern caching strategies using Redis or similar caching technologies to improve application performance and scalability.
  • Evaluate and recommend appropriate database, storage, indexing, partitioning, replication, and archival strategies based on workload characteristics
  • Support hybrid data architectures spanning transactional databases, document stores, object storage, search systems, data warehouses, and reporting platforms.

Streaming Data and Event-Driven Architecture
  • Design and govern streaming data architectures that support real-time ingestion, event processing, analytics, operational workflows, and downstream integrations.
  • Define standards for event schemas, message contracts, topic design, partitioning, ordering, retention, replay, dead-letter handling, and consumer resiliency.
  • Partner with engineering teams to evaluate and implement streaming platforms and patterns such as Kafka, Amazon Kinesis, or comparable event streaming technologies.
  • Ensure streaming data pipelines meet requirements for scalability, reliability, observability, security, compliance, latency, and data quality.

Performance, Optimization, and Capacity Planning
  • Lead database optimization efforts including query tuning, indexing strategy, schema refinement, storage layout, and performance troubleshooting.
  • Perform capacity planning for data platforms, accounting for growth, retention, throughput, latency, concurrency, and cost.
  • Define standards for observability, monitoring, alerting, backup, recovery, high availability, and disaster recovery for critical data stores.
  • Partner with engineering and operations teams to improve reliability, scalability, and cost efficiency of production data systems.

Data Warehousing, BI, and Reporting
  • Design and support data warehousing architectures that enable reliable analytics, operational reporting, compliance reporting, and executive dashboards.
  • Develop dimensional, normalized, and hybrid models appropriate for BI reporting solutions and analytical workloads.
  • Work with stakeholders to ensure data pipelines, marts, semantic layers, and reporting datasets are accurate, governed, and understandable.
  • Establish patterns for data quality, lineage, governance, cataloging, retention, and access control across reporting and analytical platforms.

AI-First Data Enablement
  • Apply an AI-first mindset to data architecture by designing data structures, metadata, retrieval patterns, and governance models that support machine learning, generative AI, search, and automation use cases.
  • Identify opportunities to use AI-assisted tooling to improve data modeling, documentation, quality analysis, anomaly detection, reporting, and operational efficiency.
  • Ensure data architecture decisions support secure, explainable, and auditable AI-enabled workflows.

Cross-Functional Leadership
  • Collaborate with principal architects, software architects, engineering leads, product managers, and operations stakeholders.
  • Review data-related designs, migrations, pull requests, and implementation plans for architectural alignment and operational readiness.
  • Mentor engineers and database practitioners on data modeling, database optimization, caching, warehousing, and reporting best practices.
  • Create clear architecture documentation, standards, diagrams, migration plans, and decision records.

Knowledge, Skills, and Abilities
  • Strong hands-on experience with MySQL and PostgreSQL in production environments.
  • Strong experience with MongoDB and document-oriented data modeling.
  • Experience designing solutions across structured, semi-structured, and unstructured data stores.
  • Required experience with caching solutions such as Redis, including cache design, invalidation, consistency, and performance tradeoffs.
  • Required expertise in data modeling, canonical model definition, schema design, and database normalization/denormalization strategies.
  • Required experience with database optimization, query tuning, indexing, partitioning, replication, and performance troubleshooting.
  • Required experience designing and operating data streaming solutions, including event-driven architectures, stream processing patterns, event schema design, and real-time data pipeline reliability.
  • Required experience with capacity planning for high-volume, production data systems.
  • Required experience with data warehousing concepts, architectures, dimensional modeling, and analytical data design.
  • Required experience with BI reporting solutions, semantic layers, dashboards, and reporting datasets.
  • Ability to define scalable data models that support operational systems, analytics, integrations, and AI-enabled capabilities.
  • AI-first mindset with a practical understanding of how data architecture enables AI, machine learning, retrieval, search, automation, and advanced analytics.
  • Strong communication skills with the ability to explain complex data architecture decisions to technical and non-technical audiences.

Preferred Qualifications
  • Experience with cloud-native data services in AWS, Azure, or GovCloud environments.
  • Experience with object storage, data lakes, search platforms, streaming/event-driven architectures, or large-scale media metadata systems.
  • Experience with data governance, data cataloging, lineage, privacy, security, compliance, and retention requirements.
  • Experience modernizing legacy data platforms or leading large-scale database migrations.
  • Experience supporting public safety, law enforcement, corrections, digital evidence, video, or mission-critical SaaS platforms.