Description

Responsibilities • Develop, implement, and maintain data processing pipelines within Cribl LogStream. • Configure and optimize data routing, transformation, enrichment, filtering, normalization, and data quality processes. • Develop and support integrations between Cribl, AWS, SIEM platforms, security analytics tools, and enterprise security lake data platforms. • Build, troubleshoot, and optimize automated data ingestion and onboarding workflows. • Onboard and validate security telemetry for SIEM, detection engineering, threat hunting, incident response, and security analytics use cases. • Collaborate with Security Operations, Detection Engineering, Data Engineering, Infrastructure, and Analytics teams to deliver reliable, scalable, and high-quality data solutions. • Monitor pipeline performance, resolve issues, and implement continuous improvements. • Document pipeline configurations, operational procedures, and data flows. • Develop, create, and maintain Snowflake database objects including databases, schemas, tables, views, streams, tasks, stored procedures, and secure data-sharing configurations. Qualifications • 8+ years of experience with Cribl LogStream administration, configuration, and pipeline development. • 6+ years of hands-on experience with Snowflake administration, architecture, and data engineering in large-scale enterprise environments. • Experience designing and supporting large-scale security data ingestion, transformation, and processing pipelines utilizing platforms such as Snowflake and Databricks. • Experience with scripting languages (e.g., Python, JavaScript) for pipeline automation. • Experience onboarding and managing enterprise security data within SIEM, security data lake, or security analytics environments. • Familiarity with OCSF, security data normalization, governance, compliance, and other security telemetry best practices. • Excellent problem-solving skills, ability to debug complex pipeline issues, and strong analytical thinking • Experience designing, creating, and managing Snowflake databases, schemas, tables, views, streams, tasks, stored procedures, and data pipelines • Experience with Snowflake Cortex, Snowpack, Python UDFs, stored procedures, and advanced automation frameworks

Key Skills

Education

Bachelor's degree