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The Senior Enterprise Observability Architect is responsible for translating business needs into effective technical systems solutions and comprehensive architectural roadmaps. This role involves addressing moderately complex to complex issues, necessitating a deep analysis of situations or data that require an in-depth evaluation of variable factors. The architect will collaborate with cross-functional teams to design and implement observability frameworks that enhance system performance, reliability, and scalability. The ideal candidate will possess strong analytical skills, a solid understanding of enterprise architecture principles, and the ability to communicate technical concepts to non-technical stakeholders effectively.

Key Responsibilities:

• Develop and maintain architectural roadmaps that align with business objectives.
• Analyze and evaluate complex data and system interactions to identify opportunities for improvement.
• Collaborate with stakeholders to understand business requirements and translate them into technical specifications.
• Design observability solutions that provide insights into system performance and user experience.
• Mentor and guide junior architects and technical teams in best practices for observability and system design.

Splunk Platform Leadership:

• Architect, configure, and optimize the Splunk environment (Splunk Enterprise/Cloud, Forwarders, Indexers, Search Heads, potentially ITSI, ES).
• Design and implement efficient data onboarding strategies, parsing logic (props.conf, transforms.conf), and index-time/search-time field extractions.
• Develop advanced SPL queries, dashboards, reports, and alerts to provide actionable insights into system health and performance.
• Oversee Splunk administration tasks, including performance tuning, capacity planning, license management, and upgrades.
• Guide teams on effective Splunk usage and data modeling.

Dynatrace Platform Leadership:

• Architect, deploy, and manage the Dynatrace platform (SaaS/Managed), including OneAgent deployment strategies across diverse environments (Cloud, On-prem, Kubernetes, PaaS).
• Configure and optimize Dynatrace APM, infrastructure monitoring, RUM, synthetic monitoring, log monitoring, and Davis AI capabilities.
• Develop custom dashboards, alerting profiles, management zones, and automation workflows within Dynatrace.
• Leverage Dynatrace APIs for integration with other systems (e.g., CMDB, CI/CD pipelines, incident management).
• Train and guide teams on utilizing Dynatrace for performance analysis, root cause determination, and application health monitoring.

Business Observability:

• Drive the adoption of observability practices that enable business stakeholders to gain insights into application performance, user experience, and business metrics.
• Work closely with product owners, business analysts, and stakeholders to identify and implement observability requirements for business-critical applications and processes.
• Develop observability dashboards, reports, and visualizations that provide visibility into key business metrics and performance indicators.

Observability Tooling and Integration:

• Lead the evaluation, selection, and implementation of observability tools (e.g., Dynatrace, Splunk, OpenTelemetry) across the enterprise.
• Ensure seamless integration of observability tools with existing monitoring, logging, and tracing infrastructure.
• Collaborate with platform engineering teams to automate the deployment and configuration of observability tools using infrastructure as code (IaC) and configuration management practices.

Observability Governance and Compliance:

• Establish governance processes and frameworks to ensure adherence to observability standards across teams and projects.
• Conduct regular observability audits and assessments to identify gaps, areas for improvement, and opportunities for optimization.
• Ensure observability practices align with relevant industry standards, regulations, and compliance requirements.

Observability Automation and Continuous Improvement:

• Identify opportunities for automating observability processes, such as instrumentation, deployment, and configuration management.
• Collaborate with development teams to introduce observability code reviews and automated validation checks in the software development lifecycle (SDLC).
• Continuously evaluate and improve observability practices, tools, and processes based on feedback, emerging technologies, and industry trends.

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