Role: Data Governance Engineer - Strategy & Data Architecture - Cribl
Location: Columbus OH, Hybrid - strongly prefers local candidates
Duration: Full Time Employee
Job summary:
You will serve as a key individual contributor responsible for building the technical foundation of a formal cyber data governance framework. You will work closely with cyber security, security operations center (SOC), compliance, analytics and platform engineering teams to translate governance policies into implementable metadata, taxonomy, lineage and lifecycle capabilities. Your work will enable teams to reliably discover, trust and use security data to manage risk and drive informed decisions.
Required skills:
- Experience in data architecture, metadata and lineage engineering or data engineering, including implementing governance solutions for security or telemetry data using cloud data platforms.
- Designing and implementing solutions on Google Cloud Platform, including Google BigQuery and Google Cloud data and security products such as Data Catalog, Identity and Access Management (IAM), Cloud Data Loss Prevention (Cloud DLP) and Security Command Center, Cribl for Data Fabric
- Integrating and managing data pipelines using Talend or similar integration tools, including onboarding telemetry and asset sources
- Data modeling and SQL, including building and maintaining lineage and automated metadata harvesting solutions across complex data ecosystems.
Please send resume ASAP.
5-10 years96
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Job Description
Download ResumeRole: Data Governance Engineer - Strategy & Data Architecture - Cribl
Location: Columbus OH, Hybrid - strongly prefers local candidates
Duration: Full Time Employee
Job summary:
You will serve as a key individual contributor responsible for building the technical foundation of a formal cyber data governance framework. You will work closely with cyber security, security operations center (SOC), compliance, analytics and platform engineering teams to translate governance policies into implementable metadata, taxonomy, lineage and lifecycle capabilities. Your work will enable teams to reliably discover, trust and use security data to manage risk and drive informed decisions.
Required skills:
- Experience in data architecture, metadata and lineage engineering or data engineering, including implementing governance solutions for security or telemetry data using cloud data platforms.
- Designing and implementing solutions on Google Cloud Platform, including Google BigQuery and Google Cloud data and security products such as Data Catalog, Identity and Access Management (IAM), Cloud Data Loss Prevention (Cloud DLP) and Security Command Center, Cribl for Data Fabric
- Integrating and managing data pipelines using Talend or similar integration tools, including onboarding telemetry and asset sources
- Data modeling and SQL, including building and maintaining lineage and automated metadata harvesting solutions across complex data ecosystems.
Please send resume ASAP.