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Fulltime Observability Jobs in Georgia (NOW HIRING)

Coreforce

Senior Data Architect

Atlanta, GA · On-site

$150K - $160K/yr

Atlanta Job Type: Full-time Salary: Based on Experience Company Overview : Coreforce is an ... Define standards for observability, monitoring, alerting, backup, recovery, high availability, and ...

Coca-Cola

Full Stack Engineer

Atlanta, GA · On-site

Observability Skills: Experience implementing centralized monitoring and tracing ... full-time basis and must not require The Coca-Cola Company's sponsorship to continue to work ...

iVision Scale LLC

Sr. Consultant, Azure

Atlanta, GA · On-site

Atlanta, GA (Hybrid) or Remote Type: Full-Time Travel: Up to 25% About the Role ivision -- a ... governance, observability) aligned to CAF and Enterprise-Scale. * Execute Azure datacenter ...

Experity

Staff Engineer - Full Time - Remote

Atlanta, GA · On-site +1

$121K - $161K/yr

Champion software craftsmanship, code quality, automated testing, observability, and operational excellence. * Participate in architecture reviews, technical design sessions, and solution evaluations.

United Airlines

AI Architect

Atlanta, GA · Hybrid

$73K - $174K/yr

Own system reliability, monitoring, uptime, observability, and operational excellence. * Design and ... Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time ...

Sched LLC

Full Stack Web Engineer

Atlanta, GA · Remote

$110K - $150K/yr

Remote | Full-time About Sched Sched powers thousands of events worldwide professional development ... Contribute to monitoring, alerting, and observability across the platform * Help maintain and ...

AT&T

Principal Enterprise Release Manager

Atlanta, GA · On-site

$116K - $196K/yr

Oversee end-to-end deployment activities using CI/CD pipelines, observability, and automation tools ... Modern Enterprise Release Management and ITSM #LI-Onsite Full-time office role. Ready to join our ...

Lorven Technologies

Devops Engineer

Alpharetta, GA · On-site

$51.50 - $70.50/hr

Berkeley Heights, NJ / Alpharetta, GA(5days onsite) Employment Type : Full Time Job Summary With 5 ... Observability Implementation: Set up and maintain monitoring and logging stacks (Prometheus ...

Flight Centre Travel Group (usa) Inc

$47.50 - $63.50/hr

Product and Technology Work type: Full time Location: Queensland Categories: Digital and Technology ... Experience with observability and monitoring tools including Splunk, Application Insights, New ...

Sched LLC

Full Stack Web Engineer

Atlanta, GA · On-site +1

$110K - $150K/yr

Remote | Full-time About Sched Sched powers thousands of events worldwide professional development ... Contribute to monitoring, alerting, and observability across the platform * Help maintain and ...

AT and T

Principal System Engineering - SRE

Atlanta, GA · On-site

$155K - $261K/yr

Hands-on experience with observability tools (logs, metrics, traces) * Ability to identify patterns ... Onsite - Full-time office role-Ready to join our team? Apply today. Our Principal System ...

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Senior Data Architect

Coreforce

Atlanta, GA • On-site

$150K - $160K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 11 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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