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Splunk Global Solutions Architect
2 months ago
We are seeking a highly skilled Splunk Global Solutions Architect to join our team. As a key member of our global architecture team, you will play a critical role in guiding Go To Market teams and customers on Splunk architecture, including cloud and customer-managed deployment expansions and/or migrations, machine learning/AI, and machine data ecosystem technologies.
Key Responsibilities- Develop and maintain deep competencies in specific capabilities areas needed by Splunk customers, including 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.
- Foster customer initiatives for AI using indexed data and existing toolsets, such as Splunk Machine Learning Toolkit (MLTK) and Splunk App for Data Science and Deep Learning (DSDL).
- Engage with customers to assess and validate complex use-cases and direct them to realizing successful use cases.
- Work with key customer leads on AI strategies for security and observability, identifying alignment to Splunk's increasing advanced product offerings.
- Partner with Product Management and engineering on thematic needs of customers, to optimize existing AI use cases and address new use cases.
- Design Splunk Validated Architectures and best practices in cross-functional partnership with subject matter experts across Splunk.
- Partner with Splunk AI Product and engineering to share customer learnings, influence Splunk's product roadmap.
- Act as an internal technical expert, fielding inquiries from a global audience related to your area of subject matter expertise (ML/AI).
- 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.
- 5+ years of experience in technical pre-sales, services, system administration, and/or engineer roles.
- 4+ 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, preferably related to Splunk AI and its key apps.
- 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.
- Experience presenting complex technical topics to all audiences, from working-level administrators to senior 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.
We offer a comprehensive, competitive benefits package, including healthcare and retirement plans, paid time off, wellbeing expense reimbursement, and much more. Learn more about our benefits and wellbeing offering at #J-18808-Ljbffr.
This role is eligible for a market-based pay structure, which varies by location. The base pay range is AUD 140,000.00 - 150,000.00 per year. In addition to base pay, this role is eligible for incentive compensation and may be eligible for equity or long-term cash awards.
Splunk provides flexibility and choice in the working arrangement for most roles, including remote and/or in-office roles.
