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Company First Data Jobs in Georgia (NOW HIRING)

Coreforce

Senior Data Architect

Atlanta, GA · On-site

$150K - $160K/yr

Based on Experience Company Overview : Coreforce is an innovative SaaS company providing digital ... AI-First Data Enablement * Apply an AI-first mindset to data architecture by designing data ...

Coreforce

Senior Data Architect

Atlanta, GA · Hybrid

$64.75 - $86.50/hr

Based on Experience Company Overview : Coreforce is an innovative SaaS company providing digital ... AI-First Data Enablement * Apply an AI-first mindset to data architecture by designing data ...

Askari Defense

Robotics Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Askari Defense is a company focused on developing high-performance, fully-autonomous kinetic ... Develop and maintain core libraries for programmatic, offline-first data analysis: the primary way ...

Worth AI

Data Platform Engineer

Atlanta, GA · On-site +1

$110K - $132K/yr

... the company * Develop and maintain batch and streaming data pipelines using modern data processing frameworks and AWS cloud-native tooling * Own the reliability, performance, and API first data ...

Crosswalk Health

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 ... company * Passionate about respiratory care and delivering excellent patient experiences ...

Tihinsurance

Machine Learning Engineer

Alpharetta, GA

... company. As one of the first data science hires, you will play a pivotal role in shaping our ML strategy, frameworks, and operating model. This is a unique opportunity to be hands-on, developing and ...

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Showing results 1-20

All JobsCompany First Data JobsCompany First Data Jobs in Georgia

Company First Data information

See Georgia salary details

$38.8K

$139.3K

$205.6K

How much do company first data jobs pay per year?

As of Aug 3, 2026, the average yearly pay for company 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 Company First Data vs Payment Processor?

AspectCompany First DataPayment Processor
CredentialsTypically requires banking, finance, or IT certificationsOften requires PCI compliance, security certifications
Work EnvironmentCorporate offices, data centers, client sitesData centers, client locations, remote support
Employer & IndustryFinancial services, technology companiesFinancial institutions, e-commerce, retail
Search & Comparison IntentUnderstanding company services vs industry roleComparing service providers or job roles

Company First Data is a major provider of payment processing solutions, focusing on merchant services and financial technology. Payment processors are companies or roles that handle transaction authorization and settlement. While First Data is a specific company, payment processors can include various firms or roles involved in processing payments. The key difference lies in First Data being a specific employer, whereas payment processor refers to the broader industry or job function.

What are the typical challenges faced by employees working at First Data, and how can they proactively address them?

Employees at First Data, a global leader in payment technology and services, often encounter challenges such as adapting to rapidly evolving financial technologies and maintaining compliance with strict industry regulations. Team members may also need to navigate working within large, cross-functional teams and manage high volumes of transactions securely. To succeed, it's helpful to stay updated on fintech trends, participate in ongoing training, and leverage collaboration tools to communicate effectively across departments. Seeking mentorship and actively engaging in knowledge-sharing sessions can also help employees overcome common hurdles and advance in their careers.

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

To thrive as a Data Analyst, you need strong analytical abilities, statistical knowledge, and proficiency with data visualization, typically supported by a degree in mathematics, statistics, or a related field. Familiarity with technical tools such as SQL, Python or R, and experience with data visualization platforms like Tableau or Power BI are commonly required. Attention to detail, critical thinking, and effective communication are standout soft skills in this position. These skills are vital for extracting actionable insights from data and effectively communicating findings to support business decision-making.

What is Company First Data?

First Data, now part of Fiserv, is a global leader in payment technology and services. The company provides secure payment processing solutions for merchants, financial institutions, and businesses of all sizes. Their services include credit and debit card processing, point-of-sale solutions, e-commerce payments, gift card programs, and fraud protection. First Data enables businesses to accept payments in-store, online, and on mobile devices, making transactions faster and more secure.
What are popular job titles related to Company First Data jobs in Georgia? For Company First Data jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Company First Data jobs in Georgia look for? The top searched job categories for Company First Data jobs in Georgia are:
Company First Data jobs near you
Infographic showing various Company 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 24 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.

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