Senior Splunk Engineer / Architect
Senior Splunk Engineer / Architect DCA2258
Work Arrangement: Remote (USA only)
Location: Remote United States
Duration: 12 months (target start October 6, 2025)
Engagement Type: W-2 only.
Overview:
The Client seeks a senior Splunk specialist to design, implement, and optimize enterprise logging, monitoring, and security analytics at scale. The role spans infrastructure architecture/design, onboarding of high-value data sources, standards/policies, performance tuning, and enablement of engineering teamswhile adhering to risk, regulatory, and audit controls common to Financial Services.
Key Responsibilities:
- Partner with Technology management, senior engineers, and support teams to deliver durable Splunk solutions that meet current and future needs.
- Own/advance Splunk architecture (search head/indexer clustering, cluster manager/deployment server, SmartStore, Monitoring Console, license management).
- Onboard/normalize data (UF/HF/HEC/syslog/cloud), align to CIM, define retention/ILM standards.
- Build/maintain dashboards, alerts, KPIs, and content; guide ES correlation as needed.
- Establish technology standards, patterns, and runbooks; contribute to SDLC/ITSM practices and change management.
- Mentor/coach engineers; review proposals/changes from less experienced staff.
- Coordinate with vendors on roadmaps, features, and version upgrades.
- Ensure compliance with risk/regulatory policies, document controls and support audits.
- Engage business partners to clarify requirements and translate them into actionable, testable designs.
Required Qualifications:
- Combined 8+ years higher education and/or professional experience in systems design/architecture/management.
- Strong grasp of SDLC, infrastructure lifecycle, ITSM , and complex distributed systems design.
- Hands-on enterprise Splunk engineering (SH/IDX clusters, data onboarding, CIM, tuning, license mgmt).
- Advanced analytical, troubleshooting, and problem-solving skills; excellent written/verbal communication.
- Ability to work independently and collaboratively; complete complex tasks with minimal supervision.
Preferred Qualifications (if applicable):
- Bachelors in computer science, Computer Engineering, or related field.
- Splunk Enterprise Certified Architect or Splunk Core Certified Consultant (strongly preferred).
- 8+ years in technical engineering across infrastructure design, data management/interchange, and complex applications.
- Scripting/automation (Python/Bash), config mgmt., and familiarity with server/client & virtualization technologies.
- Financial Services experience; effective facilitation/influencing skills; process-oriented, logical, adaptable, quick learner.
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