Number of Applicants
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Role Summary
We are seeking a mid to senior Splunk
Data Administrator to own and continuously improve Splunk data onboarding,
normalization, and quality across a complex hybrid Splunk environment (on‑prem
and cloud).
The ideal candidate is hands -on with CIM
alignment, data source onboarding, field extractions
(regex/props/transforms/ingest actions), TA deployment, and end -to -end
operational management of Splunk data pipelines.
You will act as the key point of contact
for ensuring log sources are onboarded correctly, parsed and normalized
consistently, and made usable for security/IT operations, dashboards,
correlation searches, and reporting.
Splunk:
- Good understanding of Splunk
architecture and its components (Search Heads, Indexers, Deployers).
- Experience in managing and
troubleshooting Splunk distributed environments (clusters), Splunk upgrade and
migration .
Operating Systems & Cloud Platforms:
- Expertise in Linux systems, specifically
RHEL and Amazon Linux.
- Experience with AWS services, including
EC2, S3, IAM, VPC, Subnets, Security Groups and CloudWatch.
DevOps & Automation Tools:
- Experience with Jenkins pipelines and CI/CD
processes, Ansible for configuration management and automation, Terraform for infrastructure
provisioning.
- Ability to write custom Ansible playbooks and
Terraform modules for system management and scripting languages like Bash,
Python, or Shell for automation tasks.
Certifications (Optional):
- Splunk Certified Admin.
- AWS Certified Solutions Architect – Associate
or Professional
Required Skills &
Experience
• 5–10 years
experience with Splunk administration and data onboarding (or equivalent
depth).
• Strong practical
knowledge of:
- CIM normalization,
tags/eventtypes, datamodel alignment
- Field extraction
(regex, JSON/KV extraction), and troubleshooting parsing issues
- props.conf /
transforms.conf, sourcetypes, timestamps, line -breaking
- TA
installation/configuration and deployment patterns across Splunk tiers
• Experience with
complex Splunk architectures:
- Indexer clusters,
SH/SHC, forwarder management, deployment server
- Hybrid patterns
(on -prem + cloud), connectivity, and ingestion strategies
• Comfortable writing
and validating SPL for data quality and CIM compliance.
• Strong log source
knowledge across common domains:
- Security: EDR,
firewall, proxy, IAM/auth, VPN, email security
- Infrastructure:
Windows, Linux, network devices, virtualization
- Cloud: AWS/Azure/GCP
logging patterns (nice -to -have)
Key Responsibilities
Data Onboarding & Lifecycle
Management
• Lead onboarding of new log sources
end -to -end: requirements gathering, source validation, parsing strategy, TA
selection/deployment, CIM alignment, testing, and release.
• Partner with Security/IT teams to
translate use -cases into data requirements, ensuring sources deliver the right
fidelity, timeliness, and coverage.
• Manage onboarding at scale using best
practices for source types, metadata strategy, index & sourcetype
governance, and naming conventions.
• Define and enforce data quality
standards (field completeness, timestamps, event consistency, parsing accuracy,
duplication control).
CIM Normalization & Data Modelling
• Normalize data to Splunk Common
Information Model (CIM) with strong understanding of data models (e.g.,
Authentication, Network Traffic, Endpoint, Change, etc.).
• Ensure fields are aligned to CIM
requirements to support Splunk Enterprise Security (ES) and other CIM -based
content.
• Validate normalization using SPL and
develop reusable onboarding checklists.
Field Extraction, Parsing &
Enrichment
• Design and implement robust field
extractions using:
- props.conf / transforms.conf,
REPORT/TRANSFORMS stanzas
- regex and structured parsing (KV_MODE,
JSON, XML)
- ingest -time vs search -time extraction
strategy
- sourcetype / timestamp / line breaking
configuration
• Implement enrichment and routing using
event breaking, host/source normalization, lookups, and tagging.
• Troubleshoot parsing issues (timestamp
drift, multi -line events, encoding, truncation, duplicate ingestion, broken
extractions).
TA Installation & Configuration
(Complex / Hybrid)
• Install, configure, and maintain
Splunk Add -ons (TAs) and apps across:
- Heavy Forwarders / Universal
Forwarders
- Indexers / Search Heads / SHC
- Deployment Server / Cluster Manager
(where applicable)
• Maintain version compatibility and
upgrade strategies for:
- Splunk Enterprise / Splunk Cloud
- Add -ons, apps, and content packs
• Package and deploy TAs using
deployment pipelines and change management controls.
• Ensure fields are aligned to CIM
requirements
Hybrid Splunk Architecture Operations
• Operate and support Splunk in complex
environments:
- On -prem Indexer Cluster, Search Head
Cluster, Forwarder tiers
- Splunk Cloud integrations where
applicable (e.g., Heavy Forwarder, VPN, PrivateLink, data forwarding patterns)
• Configure and troubleshoot data
ingestion pipelines:
- Syslog (UDP/TCP), API -based
collection, HEC, file monitors, Windows Event Logs, cloud sources
• Ensure performance and reliability
across the pipeline, including indexing throughput, parsing overhead, and
search impact.
Monitoring, Troubleshooting & Governance
• Monitor ingestion health and pipeline
performance:
- Forwarder health, queue saturation,
parsing/indexing delays, dropped events
• Maintain governance for indexes,
sourcetypes, retention, RBAC and data access boundaries (as required).
• Contribute to operational runbooks,
SOPs, and documentation; drive continuous improvement in onboarding and
normalization standards.
Preferred / Nice -to -Have
• Experience with Splunk Enterprise
Security (ES) and ES add -ons / CIM compliance expectations.
• Knowledge of Splunk Ingest Actions /
Edge Processor (or modern ingestion tools, where applicable).
• Familiarity with:
- HEC, API ingestion, message queues
- ITSI / Observability (bonus)
• Splunk certifications (preferred):
- Splunk Core Certified Power User /
Admin
- Splunk Enterprise Certified Admin
- Splunk ES Admin (bonus)
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