SPLUNK engineering consultant

Role Overview We are seeking an experienced Splunk engineer to help stabilize, optimize, and improve our Splunk environment. This role will support search performance, data reliability, usability, and governance practices to ensure Splunk aligns to our security, compliance, and analytics requirements. The ideal candidate combines deep Splunk platform expertise with hands‑on engineering experience in search optimization, pipeline reliability, knowledge object hygiene, and security‑focused data workflows. Key Responsibilities Improve speed and efficiency of searches across large datasets. Implement caching, tuning, and search‑hygiene practices to reduce redundant or costly searches. Enhance workflows analysts can pivot and reuse results without re‑running full searches. Data Integration & Reliability Strengthen stability and reliability of Splunk data pipelines for exports and integrations. Support real‑time or near‑real‑time data flows where applicable. Improve resiliency of indexing, clustering, and correlation workloads. Governance & Lifecycle Management Review and rationalize existing knowledge objects (saved searches, lookups, dashboards). Implement monitoring to track field drift, schema changes, or configuration defects that affect detections. Define lightweight governance and lifecycle controls for knowledge objects and detection artifacts. Support alignment with broader data governance policies, including access models, retention, and auditability. Advanced Capabilities & Usability Enable notebook‑style investigative analysis for collaboration and reproducibility. Assist data transformation and ML/AI‑driven analytics enhancements where practical. Provide guidance on detection‑as‑code best practices and CI/CD integration for security detection workloads. Required Skills & Experience Strong hands‑on experience with Splunk Enterprise / Enterprise Security administration and engineering. Expert‑level capability in SPL tuning, indexing strategy, search optimization, and performance troubleshooting. Proven experience with data pipeline reliability and ingestion stabilization. Familiarity with Splunk governance principles (knowledge object hygiene, schema evolution, retention/access practices). Proficiency in Python or scripting for automation and advanced handling. Preferred Skills Experience with security detection engineering or detection‑as‑code frameworks. Background in ML/AI features within Splunk or adjacent systems. Understanding of compliance frameworks and their implications on Splunk governance. Equal Opportunity Employer CLOUD ANALYTICS TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability, and veterans (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. CLOUD ANALYTICS TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will CLOUD ANALYTICS TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract. #J-18808-Ljbffr Cloud Analytics Technologies, LLC