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Principal Performance Architect Jobs in Georgia (NOW HIRING)

AT&T

Principal Enterprise Architecture

Atlanta, GA

... technology performance and delivering solutions with a focus on maximizing ROI, increasing ... What you'll do We are seeking a highly experienced Principal Enterprise Architect to define and ...

Honeywell

Principal Software Architect

Atlanta, GA

We are looking for a Principal Software Architect to provide technical leadership for next ... Strong knowledge of software reliability, observability, performance engineering, scalability, and ...

Honeywell

Principal Software Architect

Atlanta, GA

We are looking for a Principal Software Architect to provide technical leadership for next ... Strong knowledge of software reliability, observability, performance engineering, scalability, and ...

ReSource Pro

Principal AI Solutions Architect

Atlanta, GA · On-site +1

$120K - $205K/yr

ReSource Pro is seeking a Principal AI Solutions Architect, to design, validate, and define AI ... Define success criteria, performance expectations, and technical constraints for AI solutions.

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All JobsPrincipal Performance Architect JobsPrincipal Performance Architect Jobs in Georgia

Principal Performance Architect information

See Georgia salary details

$68K

$144.7K

$195.1K

How much do principal performance architect jobs pay per year?

As of Aug 23, 2026, the average yearly pay for principal performance architect in Georgia is $144,712.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,400.00 and $164,200.00 per year, depending on experience, location, and employer.

What is a principal performance architect?

Principal Performance Architects are senior-level professionals responsible for designing, analyzing, and optimizing the performance of software systems or IT infrastructure. They work to ensure that applications and services run efficiently, reliably, and can scale effectively with increased usage. Their role often involves identifying bottlenecks, recommending improvements, and establishing best practices for performance across development teams. With extensive experience, they also mentor other engineers and collaborate with stakeholders to meet organizational performance goals.

What are the typical challenges a principal performance architect faces when optimizing large-scale enterprise systems?

Principal Performance Architects often encounter challenges such as balancing system scalability with cost efficiency, identifying performance bottlenecks in complex architectures, and aligning optimization strategies with evolving business goals. They must work closely with cross-functional teams—including developers, infrastructure engineers, and product managers—to ensure that solutions are both technically robust and aligned with user needs. Navigating legacy systems and integrating new technologies can also present unique hurdles, requiring strong analytical skills and deep experience with performance testing tools.

What are the key skills and qualifications needed to thrive as a principal performance architect, and why are they important?

To thrive as a Principal Performance Architect, you need deep expertise in systems architecture, performance engineering, and scalability, often backed by a degree in computer science or related fields. Familiarity with performance analysis tools (e.g., JMeter, Dynatrace), cloud platforms, and scripting languages, along with relevant certifications, is typically expected. Exceptional problem-solving, communication, and leadership skills help you collaborate with cross-functional teams and drive best practices. These skills ensure that large-scale systems operate efficiently, meet business requirements, and deliver optimal user experiences.

What is the difference between Principal Performance Architect vs Performance Engineer?

AspectPrincipal Performance ArchitectPerformance Engineer
CredentialsTypically requires advanced degrees and extensive experience in performance architectureUsually requires a bachelor's or master's in computer science or related field, with relevant performance testing certifications
Work EnvironmentFocuses on designing and overseeing performance strategies across large systems and enterprise environmentsConducts performance testing, analysis, and tuning on specific applications or components
Employer & Industry UsageCommon in large tech firms, financial institutions, and enterprise software companiesUsed across various industries including IT, software development, and consulting firms

The Principal Performance Architect typically leads performance strategy and architecture at an enterprise level, requiring more experience and strategic oversight. Performance Engineers focus on testing and optimizing specific applications or systems. Both roles are essential but differ mainly in scope and seniority.

What are popular job titles related to Principal Performance Architect jobs in Georgia?

For Principal Performance Architect jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Principal Performance Architect jobs in Georgia look for?

The top searched job categories for Principal Performance Architect jobs in Georgia are:

What cities in Georgia are hiring for Principal Performance Architect jobs?

Cities in Georgia with the most Principal Performance Architect job openings:

Principal Performance Architect jobs near you

Principal Observability Architect (Splunk & Databricks)

Scicom Infrastructure Services, Inc.

Atlanta, GA • On-site

Contractor

Re-posted 20 days ago

Job description

Position Summary
We are seeking a highly experienced Principal Observability Architect to lead the design, implementation, modernization, and optimization of enterprise-scale observability and analytics platforms. This role will serve as the technical authority for log management, observability engineering, telemetry pipelines, AIOps, security analytics, and data lakehouse architectures leveraging Splunk, Databricks, Cribl, OpenTelemetry, and cloud-native technologies.
The ideal candidate possesses deep expertise in traditional observability platforms (Splunk, Dynatrace, AppDynamics, ServiceNow ITOM) and modern data lakehouse architectures utilizing Databricks, Delta Lake, Unity Catalog, and AI/ML-driven analytics. This individual will drive the strategic transformation from legacy SIEM and observability platforms toward scalable, cloud-native observability data lakes.
Key Responsibilities
Enterprise Architecture & Strategy
  • Define enterprise observability architecture standards, patterns, and roadmaps.
  • Lead observability transformation initiatives involving Splunk modernization and Databricks adoption.
  • Develop reference architectures for telemetry ingestion, storage, analytics, security, and AI-driven operations.
  • Align observability strategies with business, security, compliance, and operational objectives.
  • Create executive-level architecture presentations, business cases, and technology roadmaps.

Splunk Platform Leadership
  • Architect large-scale Splunk Enterprise and Splunk Cloud environments.
  • Design and optimize:
    • Indexer clusters
    • Search head clusters
    • Forwarder architectures
    • Deployment servers
    • Data models
    • ITSI implementations
  • Define ingestion, retention, indexing, and data lifecycle strategies.
  • Lead migration initiatives involving:
    • Splunk to Databricks
    • Heavy Forwarders to Cribl
    • SIEM modernization programs
  • Optimize SPL searches, data models, summary indexing, and dashboard performance.

Databricks & Lakehouse Architecture
  • Architect enterprise observability data lake solutions using:
    • Databricks Lakehouse
    • Delta Lake
    • Unity Catalog
    • Delta Live Tables
    • Structured Streaming
    • Mosaic AI
    • Genie
  • Design Medallion Architectures:
    • Bronze
    • Silver
    • Gold
  • Develop governance strategies including:
    • RBAC
    • Data masking
    • Data lineage
    • Audit controls
  • Create high-performance log analytics solutions capable of supporting petabyte-scale telemetry environments.
  • Enable self-service analytics and AI-powered observability use cases.

Telemetry & Data Engineering
  • Design ingestion architectures supporting:
    • OpenTelemetry
    • OCSF
    • Syslog
    • Kafka
    • Azure Event Hubs
    • AWS Kinesis
    • GCP Pub/Sub
    • Cribl
  • Define normalization and enrichment frameworks.
  • Establish data quality and schema management processes.
  • Design real-time and batch processing pipelines.

AIOps & Advanced Analytics
  • Lead implementation of:
    • AIOps
    • Predictive analytics
    • Root cause analysis
    • Anomaly detection
    • Event correlation
  • Integrate observability datasets with AI/ML platforms.
  • Develop observability use cases leveraging:
    • Mosaic AI
    • Agentic AI
    • LLMs
    • Generative AI
  • Build operational intelligence and executive KPI dashboards.

Security & Compliance
  • Architect observability solutions supporting:
    • SOC operations
    • Threat hunting
    • Security analytics
    • Compliance reporting
  • Design frameworks aligned with:
    • HIPAA
    • PCI-DSS
    • SOX
    • NIST
    • ISO 27001
  • Implement data governance and security controls across observability platforms.

Leadership & Governance
  • Provide technical leadership to engineering teams.
  • Mentor architects, engineers, and developers.
  • Conduct architecture reviews and design governance.
  • Define platform standards, best practices, and operational procedures.
  • Engage directly with executive stakeholders and business leaders.

Required Qualifications
Experience
  • 10+ years of experience in Enterprise Observability, Monitoring, or Security Analytics.
  • 5+ years architecting large-scale Splunk environments.
  • 3+ years designing Databricks Lakehouse architectures.
  • Experience managing environments exceeding:
    • 50 TB/day preferred
    • 100+ TB/day strongly preferred
  • Experience leading enterprise transformation programs.

Splunk Expertise
Deep expertise in:
  • Splunk Enterprise
  • Splunk Cloud
  • Splunk ITSI
  • Enterprise Security
  • SPL Development
  • Data Models
  • Indexer Clustering
  • Search Head Clustering
  • SmartStore
  • Heavy Forwarders
  • Universal Forwarders

Databricks Expertise
Strong experience with:
  • Databricks Lakehouse
  • Delta Lake
  • Unity Catalog
  • Delta Live Tables
  • Structured Streaming
  • Databricks SQL
  • Genie
  • Mosaic AI
  • Lakehouse Federation

Cloud Platforms
Experience with one or more:
  • Microsoft Azure
  • Amazon Web Services
  • Google Cloud

Data Technologies
Strong knowledge of:
  • Kafka
  • OpenTelemetry
  • OCSF
  • Iceberg
  • Spark
  • SQL
  • Python
  • REST APIs
  • Event Streaming Architectures

Preferred Qualifications
  • Experience with Cribl Stream and Cribl Edge
  • Experience with Dynatrace, AppDynamics, Datadog, or New Relic
  • Experience with ServiceNow ITOM/Event Management
  • Experience designing AI/ML operational analytics solutions
  • Experience with Security Data Lakes and SIEM modernization initiatives
  • Experience with FinOps and cloud cost optimization
  • Experience building observability platforms for healthcare, financial services, retail, or large enterprise organizations

Certifications (Preferred)
Splunk
  • Splunk Enterprise Certified Architect
  • Splunk Core Certified Consultant

Databricks
  • Databricks Certified Data Engineer Professional
  • Databricks Certified Solutions Architect

Cloud
  • Azure Solutions Architect Expert
  • AWS Solutions Architect Professional
  • Google Professional Cloud Architect

Success Metrics
Within the first 12 months, the architect will:
  • Deliver enterprise observability architecture roadmap.
  • Reduce observability platform costs through modernization initiatives.
  • Design and implement a scalable observability data lake architecture.
  • Improve telemetry ingestion performance and reliability.
  • Enable AI-powered analytics and operational intelligence capabilities.
  • Establish enterprise governance standards for observability and security telemetry.
  • Support petabyte-scale observability and security analytics workloads.

Ideal Background
Candidates from organizations utilizing large-scale observability environments such as healthcare, banking, retail, telecommunications, logistics, cloud providers, or managed services organizations are highly desirable. Experience supporting environments generating 100TB+ of telemetry per day and integrating Splunk, Databricks, Cribl, OpenTelemetry, and cloud-native data platforms is strongly preferred.

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