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Splunk Architect Jobs in California (NOW HIRING)

Built for the most demanding enterprise workloads, from AI and HPC simulations to Splunk ... and a true hybrid-cloud architecture. Our Values: At Qumulo, we are building an open and ...

Architect and develop AI solutions that drive business value, especially in sales and finance ... Support One Cisco approach, melding Cisco and Splunk portfolios & processes for synergies. Minimum ...

New

SRE Lead

Pleasanton, CA · On-site

$63.25 - $84.25/hr

Architect resilient multi-AZ, multi-region AWS deployments for zero-downtime operations * Own and ... Build and maintain Splunk APM and Splunk Cloud dashboards, alerts, and runbooks * Implement ...

SRE Lead

Pleasanton, CA · On-site

$63.25 - $84.25/hr

Architect resilient multi-AZ, multi-region AWS deployments for zero-downtime operations * Own and ... Build and maintain Splunk APM and Splunk Cloud dashboards, alerts, and runbooks * Implement ...

Lead, architect, and execute enterprise-level programs and projects, aligning Splunk's business priorities within Cisco's global sales landscape. Influence senior leaders and cross-functional teams ...

New

... architects, we have them all. Skills: Core Java Spring framework Unix Oracle PL/SQL Multithreading File handling Data Structure Memory Management Splunk Expertise in Core Java with knowledge of ...

Showing results 41-60

Splunk Architect information

See California salary details

$57

$79

$90

How much do splunk architect jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for splunk architect in California is $79.89, according to ZipRecruiter salary data. Most workers in this role earn between $73.80 and $87.31 per hour, depending on experience, location, and employer.

What is the difference between Splunk Architect vs Splunk Engineer?

AspectSplunk ArchitectSplunk Engineer
Primary RoleDesigns and oversees the overall Splunk deployment architectureDevelops, implements, and maintains Splunk solutions and dashboards
Required SkillsArchitecture design, project management, advanced Splunk knowledgeSplunk configuration, scripting, data ingestion, troubleshooting
CertificationsSplunk Certified Architect, Splunk Certified Power UserSplunk Certified Power User, Splunk Certified Admin
Work EnvironmentTypically in enterprise IT teams, focusing on planning and architectureHands-on technical roles within IT or security teams

Splunk Architects focus on designing and planning the overall Splunk infrastructure, ensuring scalability and integration, while Splunk Engineers handle the day-to-day implementation, configuration, and troubleshooting of Splunk solutions. Both roles require strong Splunk certifications and technical expertise, but differ mainly in scope and responsibilities.

What is a Splunk Architect?

As a Splunk architect, you create applications that can perform specific tasks within the Splunk environment. Your responsibilities may include application or software development supporting customized data solutions for your employer or client. For example, you may create a dashboard on which you can select and visualize information from a database, then use that data to generate a report. As a Splunk architect, you may also be responsible for the security of the system and network that the company uses to operate Splunk solutions.

What is a Splunk Architect?

A Splunk Architect is an IT professional who designs, configures, and optimizes Splunk environments for organizations. They are responsible for creating scalable architectures, ensuring data is efficiently ingested and searchable, and setting up dashboards and alerts for monitoring and analysis. Splunk Architects work closely with security, IT, and business teams to tailor the platform to organizational needs and ensure best practices in deployment and data management. Their expertise ensures that Splunk solutions are robust, secure, and aligned with business objectives.

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

To thrive as a Splunk Architect, you need expertise in Splunk deployment, data ingestion, and security information and event management (SIEM), often supported by a bachelor’s degree in computer science or a related field. Familiarity with Splunk Enterprise, Splunk Cloud, scripting languages (like Python), and certifications such as Splunk Certified Architect are typically required. Strong analytical thinking, problem-solving skills, and the ability to communicate complex technical concepts clearly are crucial soft skills. These skills ensure the effective design, implementation, and optimization of Splunk solutions that meet organizational security and operational needs.

How does a Splunk Architect collaborate with other IT teams to ensure effective data integration and system performance?

A Splunk Architect regularly works with security, operations, and development teams to design and implement data ingestion pipelines, define data models, and optimize search performance. They often lead technical workshops to understand data sources and application requirements, ensuring that Splunk environments are tailored to organizational needs. Effective collaboration includes setting data governance standards, troubleshooting integration issues, and mentoring team members on best practices for using Splunk. This cross-functional teamwork helps maintain secure, scalable, and high-performing analytics platforms.
What are the most commonly searched types of Splunk Architect jobs in California? The most popular types of Splunk Architect jobs in California are:
What job categories do people searching Splunk Architect jobs in California look for? The top searched job categories for Splunk Architect jobs in California are:
What are popular job titles related to Splunk Architect jobs in CA? For Splunk Architect jobs in CA, the most frequently searched job titles are:
Infographic showing various Splunk Architect job openings in California as of July 2026, with employment types broken down into 100% Contract. Highlights an 60% In-person, and 40% Remote job distribution, with an average salary of $166,167 per year, or $79.9 per hour.

Staff Software Engineer - Observability

Intuit

San Diego, CA • On-site

$202K - $274K/yr

Full-time

Posted 18 days ago


Intuit rating

8.4

Company rating: 8.4 out of 10

Based on 91 frontline employees who took The Breakroom Quiz

87th of 242 rated software companies


Job description

Intuit is a leading software provider of business and financial management solutions for small and mid-sized businesses, consumers, financial institutions and accounting professionals. You probably know us by our flagship products, QuickBooks®, Quicken® and TurboTax®, but that's just the start. we’re taking on exciting challenges, such as SaaS and mobile applications. Over 50 million users, seven million small businesses and 1,600 financial institutions depend on Intuit because we innovate at the crossroads of real customer problems and breakthrough technology. Join us and let your ingenious ideas be heard.

Interested in creating and leading the platforms that are high scale and mission critical? Want to solve large scale and highly availability platform challenges for on premise and public cloud deployments?  Intuit is seeking Staff Software Engineer, who is characterized by progressive technical experience and has demonstrated progression in technical prowess, to join PDX Observability Engineering team.

The Staff Software Engineer will join the Core PDX Observability Engineering team at Intuit to design and deliver the next-generation logging and observability platform. This role focuses on creating and leading high-scale, mission-critical pipelines and solving large-scale, high-availability challenges across on-premise and public cloud (AWS, GCP) deployments. You will own the architecture and evolution of Intuit's One Logging system & Splunk Platform , spanning ingestion, routing, cost optimization, and MCP Server-driven automation, building platform capabilities that maximize velocity for thousands of Intuit developers.


Responsibilities

  • Architect, design, and lead development of the O11y logging pipeline, including MCP Server, One Intuit Logging system, S3/Kinesis/CW Log Writers, Log Router, Fluent Bit DaemonSet, and OIL sidecar components
  • Own end-to-end Splunk platform architecture , indexer/search-head scaling, cluster topology (SBG, IP), ingestion architecture, and search performance at high-availability, high-scale (multi-PB/day) levels
  • Drive ingest-time cost optimization: field reduction, log-level filtering, sampling/aggregation, and routing of low-value data to cost-efficient storage (S3 + Federated Search)
  • Lead automation revamp/rewrite initiatives to modernize legacy pipeline tooling, reduce manual operational overhead, and improve deployment reliability
  • Define and enforce platform governance and guardrails for Knowledge Object creation (Splunk saved searches, dashboards) via Git-based CI/CD pipelines 
  • Partner with SRE, platform, and BU teams to diagnose and resolve high-severity incidents related to logging pipeline and Splunk platform health
  • Provide technical leadership and mentorship across the O11y engineering team; set architectural direction and coding/design standards
  • Collaborate with leadership to translate cost-optimization and reliability roadmaps into engineering execution plans
  • Evaluate and integrate emerging technologies (e.g., GCP Logs Processor) to extend platform capabilities beyond Splunk

Qualifications

  • 8-10+ years of software engineering experience, with significant experience designing and operating large-scale distributed systems/platforms
  • Bachelor's or Master's degree (BE/BTech/MS/MTech) in Computer Science, Engineering, or related field
  • Deep, architect-level knowledge and hands-on experience with Splunk (indexing, search architecture, clustering, KO management, REST/API integrations)
  • Strong experience building and operating splunk enterprise platform. 
  • Proven track record leading platform cost-optimization initiatives at multi-petabyte/multi-million-dollar infrastructure scale
  • Experience with public cloud (AWS preferred) and on-premise hybrid deployments
  • Strong systems programming background (Java, Go, Python, or similar) and infrastructure-as-code / CI/CD practices
  • Experience driving automation and legacy system modernization efforts
  • Excellent cross-functional communication and technical leadership skills; ability to influence without direct authority
  • Prior experience in observability, SRE, or platform engineering roles strongly preferred

Footer

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: 

Bay Area, CA: $202,500 - $274,000

Southern CA: $188,500 - $255,000



Employment Type: Full-Time

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