Splunk Architect (6-10 yrs)

Role : Splunk Architect

Experience : 6-10 years

Location : Hyderabad/Bangalore

Job Summary :

We are looking for an experienced Splunk Architect to design, implement, and optimize Splunk solutions for enterprise-scale environments.

The ideal candidate will be responsible for architecting end-to-end Splunk deployments, creating efficient data ingestion pipelines, designing dashboards, and ensuring the scalability, performance, and security of Splunk environments.

The role requires collaboration with cross-functional teams to deliver insights, operational visibility, and data-driven decisions.

Required Skills And Qualifications :

- 6-8 years of experience working with Splunk technologies, including Splunk Enterprise, Splunk Cloud, and Splunk ITSI.

- Strong expertise in architecting and implementing large-scale Splunk deployments, including clustering and distributed systems.

- Proficiency in Splunk Search Processing Language (SPL) for developing advanced queries, reports, and dashboards.

- Experience with data ingestion, log parsing, and integrating Splunk with various data sources.

- Hands-on experience with Splunk add-ons, modular inputs, and troubleshooting.

- Solid understanding of system administration (Linux/Unix/Windows), networking, and cloud platforms (AWS, Azure, GCP).

- Strong scripting and automation skills using Python, Bash, or PowerShell.

- Experience with performance tuning, high availability, and disaster recovery in Splunk environments.

- Knowledge of Splunk security configurations, including RBAC, encryption, and compliance.

- Ability to collaborate with cross-functional teams and stakeholders effectively.

Preferred Skills :

- Splunk Enterprise Certified Architect or Splunk Certified Admin certification.

- Experience with Splunk ITSI, Splunk ES (Enterprise Security), or SOAR (Security Orchestration, Automation, and Response).

- Exposure to DevOps tools like Docker, Kubernetes, and CI/CD pipelines.

- Familiarity with monitoring tools (e., Grafana, Prometheus) and big data platforms.