Senior Cribl Engineer / Security Data Engineer
Location: Charlotte, NC preferred. Candidates in New York City, Los Angeles, Southern California, and other locations may also be considered.
Work Model: Flexible hybrid or remote
Position Overview
We are seeking an experienced Senior Cribl Engineer / Security Data Engineer to develop, maintain, and optimize large-scale security-data pipelines using Cribl Stream/LogStream.
The ideal candidate will have substantial hands-on experience administering Cribl, developing pipelines, onboarding security telemetry, and integrating Cribl with SIEM platforms, AWS, and enterprise security data lakes. Experience with Snowflake, Databricks, OCSF, and security-data normalization is highly desirable.
This is a senior, hands-on engineering position focused on how security data is collected, processed, enriched, routed, stored, and delivered to security analytics platforms.
Responsibilities
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Develop, implement, administer, and maintain data-processing pipelines within Cribl Stream/LogStream.
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Configure and optimize routing, parsing, transformation, enrichment, filtering, normalization, and data-quality processes.
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Integrate Cribl with AWS, Splunk and other SIEM platforms, security tools, Snowflake, Databricks, and enterprise security data lakes.
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Build, troubleshoot, and optimize automated data-ingestion and onboarding workflows.
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Onboard and validate security telemetry for SIEM, detection engineering, threat hunting, incident response, and security analytics use cases.
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Monitor pipeline performance, diagnose data-flow issues, and implement continuous improvements.
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Collaborate with Security Operations, Detection Engineering, Data Engineering, Infrastructure, and Analytics teams.
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Document pipeline configurations, operational procedures, integrations, and data flows.
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Design, create, and maintain Snowflake databases, schemas, tables, views, streams, tasks, stored procedures, data pipelines, and secure data-sharing configurations.
Qualifications
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At least three years of hands-on Cribl Stream/LogStream administration, configuration, and pipeline-development experience.
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At least two years of hands-on Snowflake administration, architecture, or data-engineering experience in a large enterprise environment.
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Experience building and supporting large-scale security-data ingestion, transformation, and processing pipelines.
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Experience onboarding enterprise security telemetry into a SIEM, security data lake, or security analytics environment.
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Experience integrating Cribl with Splunk or another SIEM platform, AWS, security tools, and downstream data platforms.
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Proficiency with Python, JavaScript, or a similar scripting language for pipeline automation.
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Strong troubleshooting, debugging, and performance-optimization skills.
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Familiarity with OCSF, security-data normalization, governance, compliance, and telemetry-management best practices.
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Strong communication, documentation, and cross-functional collaboration skills.
Preferred Experience
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Snowflake Cortex
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Snowpark
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Python UDFs
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Advanced Snowflake automation frameworks
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Databricks
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AWS security and data services
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OCSF
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SIEM architecture or engineering
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Detection engineering, threat hunting, incident response, or Security Operations
Apply
Interested candidates can review the complete opportunity and apply here:
https://the-sugrue-group-llc.breezy.hr/p/8f52fc900053-senior-cribl-engineer-security-data-engineer
