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Splunk is here to build a safer and more resilient digital world. The world's leading enterprises use our unified security and observability platform to keep their digital systems secure and reliable. While customers love our technology, it's our people that make Splunk stand out as an amazing career destination and why we've won so many awards as a best place to work. If you become a Splunker, we want your whole, authentic self, what we call your "million data points". So bring your work experience, problem-solving skills and talent, of course, but also bring your joy, your passion and all the things that make you, you.
GTS Global Architects are Splunk platform and ecosystem domain experts. Global Architects guide Go To Market teams and customers on Splunk Architecture, inclusive of Cloud and customer-managed deployment expansions and/or migrations, machine learning/AI and machine data ecosystem technologies.
Global Architects provide deep-technical expertise and are key contributors to defining pre-sales and adoption activities to support large and complex use-cases. Architects act as leaders in the Splunk technical community and leverage a variety of mediums to share expertise and empower others to be successful in approaches they have defined. Global Architects spend the majority of their time on projects and deliverables that directly relate to and impact customer demand or understanding of Splunk solutions. Global Architects also partner with regional Architects and account teams in support of key customers, and leading engagements specific to architecture initiatives and validation of complex use-cases.
In this role, Architects collaborate cross-functionally, research, prototype, and author strategies for designing Splunk architectures and implementing use-cases at-scale. Key deliverables from Global Architects including Field and Product guidance on complex topics to scale customer and support critical Splunk design decisions. Deliverables may provide internal guidance to technical sellers, advocacy for critical Product design decisions, or external guidance such as deployment patterns for production use-cases of Splunk.
The Global Architects are a part of the Global Technical Sales Strategy and Programs organization, and are a distributed, remote team of experts. Global Technical Sales Strategy and Programs team reports directly to the SVP of Global Technical Sales.
This is a global role. We are also open to candidates in EMEA and APAC.
  • Develop and maintain deep competencies in specific capabilities areas needed by Splunk customers (e.g., Splunk Platform, Machine Learning and AI, and ecosystem technologies)
  • Develop and deliver technical content to internal and external audiences to enable and empower customers and Splunkers on complex use-cases
  • Engage with customers to assess and validate complex use-cases and architecture strategies to inform both product roadmap and best practice guidance
  • Design Splunk Validated Architectures and best practices in cross-functional partnership with subject matter experts across Splunk
  • Partner with Product Management and engineering in your competency areas to influence decisions and guidance throughout a capability’s lifecycle
  • Work closely with GTS Technical Interlock to proactively identify customer challenges and needs, influencing the Product roadmap to meet critical customer requirements
  • Act as an internal technical expert, fielding inquiries from a Global audience related to your area of subject matter expertise
  • Become an expert on soon-to-be-released solutions, capabilities and emerging ecosystem technologies in your competency areas. Use your expertise to develop use-cases collateral and technical guidance
  • Provide hands-on leadership to solve Splunk technical architecture/integration needs, proactively validating, defining alternatives, and making recommendations to Product
  • Provide technical due diligence for assessing offerings from partners and the marketplace
  • Possess a depth of expertise in enterprise logging, security and/or observability, specifically utilizing Splunk and/or other aligned technologies and solutions (e.g., Elastic, AWS native services, etc.)
  • 7+ years of experience in technical pre-sales, services, system administration, and/or engineer roles
  • 5+ years of experience working with infrastructure and platform services to support enterprise-scale data challenges
  • A good depth of experience and hands-on knowledge in Data Science, Machine Learning and AI methods, tools and technologies, specifically related to Splunk AI and its key apps (e.g. MLTK, DSDL).
  • Experienced hands-on working knowledge about SPL and data engineering best practices in Splunk to prepare data for AI/ML workloads.
  • Experience with open source ML/AI tools, frameworks and libraries, especially in python. Coding skills and knowledge about LLMs, graph and vector databases or integration with 3rd party AI services is a plus.
  • Knowledge of strategies for operationalizing logs and/or metrics across infrastructure providers (i.e., on-premises, Amazon Web Services, Azure, and/or Google Cloud Platform
  • Experience presenting complex technical topics to all audiences, from working-level administrators to executive stakeholders
  • Demonstrated expertise in the execution of projects and deliverables to support technology customers’ understanding and ability to capture the full value of their data investments
Splunk is an Equal Opportunity Employer
At Splunk, we believe creating a culture of belonging isn’t just the right thing to do; it’s also the smart thing. We prioritize diversity, equity, inclusion, and belonging to ensure our employees are supported to bring their best, most authentic selves to work where they can thrive. Qualified applicants receive consideration for employment without regard to race, religion, color, national origin, ancestry, sex, gender, gender identity, gender expression, sexual orientation, marital status, age, physical or mental disability or medical condition, genetic information, veteran status, or any other consideration made unlawful by federal, state, or local laws. We consider qualified applicants with criminal histories, consistent with legal requirements.


Base Pay Range

SF Bay Area, Seattle Metro, and New York City Metro Area

Base Pay Range: $181,200.00 - 249,150.00 per year

California (excludes SF Bay Area), Washington (excludes Seattle Metro), Washington DC Metro, and Massachusetts

Base Pay Range: $163,080.00 - 224,235.00 per year

All other cities and states excluding California, Washington, Massachusetts, New York City Metro Area and Washington DC Metro Area.

Base Pay Range: $144,960.00 - 199,320.00 per year

Splunk provides flexibility and choice in the working arrangement for most roles, including remote and/or in-office roles. We have a market-based pay structure which varies by location. Please note that the base pay range is a guideline and for candidates who receive an offer, the base pay will vary based on factors such as work location as set out above, as well as the knowledge, skills and experience of the candidate. In addition to base pay, this role is eligible for incentive compensation and may be eligible for equity or long-term cash awards.

Benefits are an important part of Splunk's Total Rewards package. This role is eligible for a competitive benefits package which includes medical, dental, vision, a 401(k) plan and match, paid time off and much more! Learn more about our comprehensive benefits and wellbeing offering at

Splunk's Hiring Practices
Splunk turns machine data into answers. Organizations use market-leading Splunk solutions with machine learning to solve their toughest IT, Internet of Things and security challenges.

We value diversity, equity, and inclusion at Splunk and are an equal employment opportunity employer. Qualified applicants receive consideration for employment without regard to race, religion, color, national origin, ancestry, sex, gender, gender identity, gender expression, sexual orientation, marital status, age, physical or mental disability or medical condition, genetic information, veteran status, or any other consideration made unlawful by federal, state, or local laws. We consider qualified applicants with criminal histories, consistent with legal requirements. Click here to review the US Department of Labor’s EEO is The Law notice. Please click here to review Splunk’s Equal Employment Opportunity Policy Statement. If you need assistance or an accommodation to apply or during the hiring process, please let us know by completing our Accommodation Request form.

Splunk also has policies in place to protect the personal information candidates disclose to us as part of the application process. Please click here to review Splunk’s Career Site Privacy Policy.

Splunk does not discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Please click here to review Splunk’s Pay Transparency Nondiscrimination Provision.

Splunk is committed to the health and safety of our employees and customers. We comply with local, state/territory, and federal regulations to prevent the spread of COVID-19 in the countries in which we operate. Splunk provides reasonable medical, religious, or other legally required accommodations for eligible employees.

Splunk is also committed to providing access to all individuals who are seeking information from our website. Any individual using assistive technology (such as a screen reader, Braille reader, etc.) who experiences difficulty accessing information on any part of Splunk’s website should send comments to Please include the nature of the accessibility problem and your e-mail or contact address. If the accessibility problem involves a particular page, the message should include the URL of that page.

Splunk doesn't accept unsolicited agency resumes and won't pay fees to any third-party agency or firm that doesn't have a signed agreement with Splunk.


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