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Job Title:Splunk Architect

Location: Luxembourg, Luxembourg

Employment Type: Contract

Overall Job Description
As a Splunk Architect, you will be a vital part of our team, leading the design of advanced Splunk solutions for integration across on-premises and cloud environments (AWS, Azure, Kubernetes, VMware,etc). You will work closely with clients to define project scopes, understand their business needs, and document solution architectures. In collaboration with operational teams, you will ensure a seamless handover of infrastructure with a focus on automation and scalability, and you will provide level 3 support to maintain high service availability and confidentiality.

Key Responsibilities

• Design scalable Splunk architectures that span hybrid environments, integrating seamlessly with platforms such as AWS, Azure, vSphere, TKGI, PKS, Kubernetes, Terraform, Ansible etc.
• Enable efficient data flow across cloud and on-premises environments, enhancing enterprise-level security and operational insights.

• Oversee the deployment, configuration, and management of Splunk components, including integration with data sources from Amazon, Microsoft, and Kubernetes ecosystems.

• Build automation frameworks (using tools like Ansible, Terraform) for managing Splunk infrastructure, enhancing operational efficiency.

• Leverage Splunk ES for security monitoring and ITSI for service intelligence insights, setting up proactive monitoring and alerting systems.

• Implement machine learning models within Splunk, using ITE Work (ITEW) and Splunk’s Machine Learning Toolkit for predictive analytics.

• Analytical Skills
• Ability to analyse complex data sets, identifying patterns and creating solutions based on data-driven insights.
• Technical Knowledge
• Deep understanding of cloud architectures, container orchestration, and data integration methodologies in Splunk.
• Communication
• Strong verbal and written communication, able to translate technical information for diverse audiences.
• Problem-Solving
• Effective at diagnosing and resolving Splunk-related issues and optimizing performance across distributed setups.

• Analytic Skills
• Document comprehensive solution architectures for current and future states.
• Model large datasets from various sources (cloud, containerized environments) and create scalable Splunk architectures.
• Communication Skills
• Skilled in stakeholder communication, translating technical details into actionable insights.
• Experience documenting complex processes and delivering training for knowledge transfer.
• Technical Knowledge & Certifications
• Expertise in Splunk deployment, index management, data ingestion, and field extractions.
• Knowledge of AWS (e.g., EC2, S3, Lambda), TKGI, PKS, Kubernetes and Microsoft tools (e.g., Active Directory, Office 365) vSphere for Splunk Integration and automation.
• Familiarity with ITIL, Safe Agile frameworks, network concepts.

• Understanding Business Needs
• Collaborate with clients to gather and comprehend their business objectives.
• Solution Design
• Lead design and manage Splunk infrastructure for optimal performance, supporting both operational and security needs.
• Documentation
• Create and maintain architecture documentation, standard operating procedures, and other key documents.
• Transition & Handover
• Ensure a smooth transition of infrastructure to operational teams, emphasizing thorough knowledge transfer.
• Level 3 Support
• Provide high-level support to resolve complex issues, ensuring continued service availability.
• Coaching & Knowledge Transfer
• Train and mentor operational teams to enhance their skills in managing Splunk platforms.

• Professional Experience
• 5+ years in Splunk architecture and administration, focusing on enterprise-level environments.
• Extensive experience in scripting (Python, Bash) for automation and process optimization.
• Proven experience with Splunk integrations across AWS, Azure, and VMware, as well as Kubernetes
• Proficient in using Splunk ES and ITSI for monitoring and managing service health and security.
• Familiarity with Splunk Machine Learning Toolkit and ITE Work for operational intelligence and predictive analytics
• Understanding of security best practices and compliance for hybrid and cloud-based environments.
• Collaboration & Adaptability
• Proven ability to work within cross-functional teams, adapting to changing business needs.
• Automation
• Demonstrated dedication to automation and efficiency in managing infrastructures.
• DevOps Knowledge
• Skilled with automation tools like Ansible, Terraform, and scripting languages (Python) to streamline CI/CD processes.

• Language Proficiency: Fluency in English; knowledge of additional European languages is an advantage.