SIEM Data Engineer

Who we are looking for We are looking for a SIEM Data Engineer reporting directly to the Cyber Data Engineering Manager. You will support the onboarding, transformation, routing, validation, and operational support of cybersecurity telemetry and enterprise log data used for security monitoring, analytics, reporting, incident response, and cyber data science use cases. This role is focused on understanding diverse enterprise data sources, building and maintaining security telemetry pipelines, validating data quality, and ensuring reliable delivery of high-quality data into cyber data platforms such as Splunk, Databricks, and other SIEM or cyber analytics platforms.

You will work closely with cybersecurity, infrastructure, cloud, application, and data engineering teams to ensure security telemetry is accurate, searchable, complete, and fit for purpose. Why This Role Is Important to Us The team you will be joining is part of Cyber Data & Analytics, a function that is vital to the company as it enables cybersecurity teams to make faster, data-driven decisions and strengthen the firm’s ability to detect, investigate, and respond to evolving cyber threats.

High-quality cybersecurity data is foundational to effective threat detection, incident response, risk reporting, observability, automation, analytics, and compliance. This role helps ensure that enterprise security telemetry is properly onboarded, validated, enriched, routed, monitored, and continuously available to support critical cyber defense capabilities. What you will be responsible for As SIEM Data Engineer you will:
Support onboarding of security telemetry from applications, infrastructure, endpoints, identity platforms, network devices, cloud services, SaaS tools, databases, and security products. Analyze source log formats and define ingestion requirements, expected fields, metadata, routing needs, and downstream SIEM/analytics use cases. Configure telemetry pipelines for parsing, filtering, masking, enrichment, normalization, event breaking, metadata tagging, and destination routing. Route security telemetry to Splunk, Databricks, and other SIEM or cyber analytics platforms.

Support validation and delivery of security telemetry into Databricks across raw, enriched, and curated data layers. Support ingestion patterns such as syslog, HEC, REST APIs, cloud storage, streaming services, forwarders, and agent-based integrations. Validate data quality in Splunk and Databricks for freshness, completeness, timestamp accuracy, field availability, schema consistency, source attribution, and routing accuracy. Troubleshoot ingestion and data flow issues across sources, collectors, pipelines, SIEM platforms, Databricks tables, APIs, cloud storage, and streaming platforms.

Provide second-line-of-defense support for operational issues related to data engineering jobs, pipelines, ingestion failures, and issues leading to loss of data delivery to cyber data platforms. Collaborate with Detection Engineering, Security Operations, Cyber Data Science, Observability, Cloud, Infrastructure, Application, and Platform teams to ensure telemetry supports security use cases. Assist with source type assignment, index routing, taxonomy tagging, metadata enrichment, CIM alignment, schema mapping, and data validation.

Monitor pipeline health, dropped events, destination failures, ingestion latency, queue growth, and data delivery issues. Document onboarding patterns, field mappings, transformation logic, routing decisions, data flow diagrams, runbooks, troubleshooting procedures, and operational handoffs. Participate in production support, change management, incident response, root cause analysis, and continuous improvement activities Second-line-of-defense support for operational issues related to data engineering (jobs/pipelines) and issues leading to loss of data delivery to Cyber data platforms What we value These skills will help you succeed in this role Strong understanding of SIEM data onboarding, log ingestion, data routing, parsing, enrichment, validation, and troubleshooting.

Hands-on experience with Splunk or similar SIEM/log analytics platforms. Hands-on experience or working knowledge of Cribl Stream or similar data pipeline technologies for routing, filtering, parsing, enrichment, transformation, and destination delivery. Ability to understand and onboard telemetry from diverse enterprise data sources across cloud, endpoint, identity, network, application, infrastructure,…