Splunk Global Solution Architect
2 weeks ago
We are seeking a highly skilled Splunk Global Solution Architect to join our team. As a key member of our organization, you will play a critical role in guiding our 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 Expertise: Develop and maintain deep competencies in specific capabilities areas needed by Splunk customers, such as Splunk Platform, Machine Learning and AI, and ecosystem technologies.
- Technical Content Development: Develop and deliver technical content to internal and external audiences to enable and empower customers and Splunkers on complex use-cases.
- Customer Initiatives: Foster customer initiatives for AI using indexed data and existing toolsets, such as Splunk Machine Learning Toolkit (MLTK), Splunk App for Data Science and Deep Learning (DSDL).
- Complex Use-Case Validation: Engage with customers to assess and validate complex use-cases and direct them to realizing successful use cases.
- AI Strategies: Work with key customer leads on the AI strategies for security and observability, identifying alignment to Splunk's increasing advance Product offerings.
- Product Optimization: Partner with Product Management and engineering on thematic needs of customers, to optimize existing AI use cases and address new use cases.
- Validated Architectures: Design Splunk Validated Architectures and best practices in cross-functional partnership with subject matter experts across Splunk.
- Customer Learnings: Partner with Splunk AI Product and engineering to share customer learnings, influence Splunk's product roadmap.
- Internal Expertise: Act as an internal technical expert, fielding inquiries from a Global audience related to your area of subject matter expertise (ML/AI).
- Emerging Technologies: 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.
- Technical Leadership: Provide hands-on leadership to solve Splunk technical architecture/integration needs, proactively validating, defining alternatives, and making recommendations to Product.
- Partner Due Diligence: Provide technical due diligence for assessing offerings from partners and the marketplace.
- Enterprise Logging Expertise: 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.).
- Technical Pre-Sales Experience: 5+ years of experience in technical pre-sales, services, system administration, and/or engineer roles.
- Infrastructure Experience: 4+ years of experience working with infrastructure and platform services to support enterprise-scale data challenges.
- Data Science Expertise: 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 (e.g. MLTK, DSDL).
- Data Engineering Expertise: Experienced hands-on working knowledge about SPL and data engineering best practices in Splunk to prepare data for AI/ML workloads.
- Open Source ML/AI Tools: 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.
- Operationalizing Logs: 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).
- Technical Presentation: Experience presenting complex technical topics to all audiences, from working-level administrators to senior stakeholders.
- Project Execution: 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.
Base Pay Range:
Australia
Base Pay: AUD 140,000.00 - 150,000.00 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 comprehensive, competitive benefits package which may include healthcare and retirement plans, paid time off, wellbeing expense reimbursement, and much more Learn more about our comprehensive benefits and wellbeing offering at https://www.splunk.com/en_us/careers/benefits.html
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