Principal Cybersecurity Data Engineer

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About the Team

We are a newly formed forward-looking Cybersecurity Data Engineering & Platform Team driving the future of our enterprise defense strategy. Our mission is to build a next-generation centralized data lakehouse that unifies all security telemetry into a single high-performance ecosystem. Operating across two specialized verticalsData Logistics (ingestion enrichment and semantic layers) and Data Platform (foundational infrastructure security architecture and AI enablement)we are designing a scalable cloud-native foundation from the ground up. By combining cutting-edge data architecture with advanced analytics we empower our threat hunters data scientists and incident responders with the real-time trusted intelligence needed to protect the enterprise at scale.

About the Role

As thePrincipal Cybersecurity Data Engineer you will be the technical catalyst driving our transformation from a legacy data collection model into a mature enterprise-grade Cybersecurity Data Organization. Sitting at the critical intersection of advanced data engineering and security operations you will lead the Data Logistics vertical to architect the pipelines that power our next-generation security data lakehouse.

We are currently undertaking a massive modernization effortmigrating off legacy infrastructure and scaling our ingestion from a handful of data sources to over 300 complex high-velocity security feeds. We need a dual-domain expert to turbocharge this transformation build missing foundational capabilities from the ground up and mentor a globally distributed team on modern data engineering standards.

In this role you arent just moving data; you are engineering the real-time high-fidelity intelligence nervous system that powers our enterprise defense threat hunting and AI-enabled detection strategies.

• Enterprise-Scale Architecture:Design and implement the ingestion enrichment and semantic layers for our centralized data lakehouse ensuring pipelines can handle the extreme velocity and scale required for real-time cyber defense.

• Massive Pipeline Scaling:Redesign our data onboarding and pipeline architecture to exponentially scale our capabilities successfully shunting thousands of highly complex security telemetry sources from legacy systems (Splunk) into the modern lakehouse.

• Data Observability & Reliability:Architect and deploy robust data observability quality and reliability frameworks from scratch. You will ensure downstream users (SIRT Detection Engineering) have absolute trust in the fidelity of their telemetry.

• Technical Leadership & Transformation:Serve as the technical anchor for the Data Logistics team. You will fill a critical operational void mentoring engineers instilling modern coding and automation practices and steering the team away from legacy tech-debt mentalities.

• AI & Advanced Analytics Enablement:Structure and model complex security data to directly enable advanced analytics data science initiatives and the deployment of our upcoming AI-driven security platforms.

You are a rare hybrid: a deeply experienced enterprise data engineer who understands the unique mandates of cybersecurity operations. You know that security telemetry requires strict data isolation chain-of-custody and ultra-low latency. You thrive in ambiguous transformative environments and are equally comfortable architecting high-level strategy as you are diving into the code to untangle complex data models.

About You

You are a seasoned engineering leader who speaks both the language of scalable data architectures and the language of cyber defense. You have a builders mentality a deep intolerance for technical debt and a proven track record of designing data ecosystems that can handle the extreme scale and velocity of modern threat telemetry. You arent just looking to write pipelines; you are looking to architect a foundational platform write the technical standards and elevate the engineering maturity of the entire team.

• You are a Dual-Domain Architect:You possess deep enterprise data engineering experience combined with a strong understanding of cybersecurity operations. You understand the nuances of security telemetry (EDR network logs threat intel) and the specific challenges of migrating away from legacy SIEMs like Splunk to a modernized architecture.

• You are a Master of Modern Data Stacks:You have expert-level hands-on experience designing and building cloud-native data lakehouses (e.g. Databricks Snowflake or native GCP/AWS data stacks). You know how to build semantic layers and optimize storage/compute for both real-time streaming and complex historical analytics.

• You Code for Scale:You are highly proficient in programming languages used for data engineering (Python SQL Scala or Go) and have deep experience with distributed data processing and orchestration tools (e.g. Apache Spark Kafka Airflow dbt). Scaling ingestion to thousands of high-velocity sources is a technical challenge you have successfully navigated before.

• You are Obsessed with Reliability:You know that in cybersecurity bad data means missed threats. You have hands-on experience designing and implementing strict data observability automated quality checks and reliability frameworks from scratch. You treat data infrastructure like code relying heavily on CI/CD pipelines and version control.

• You are a Transformation Catalyst & Mentor:You thrive in modernization environments. You are highly capable of getting your hands on the keyboard to untangle complex engineering problems but your true value lies in your ability to mentor engineers instill modern software engineering practices and guide the team through a massive technological and cultural shift.

Workday Pay Transparency Statement (For EU Locations Only)

Listed below is the base salary range applicable to this position. Workday pay ranges (and the precise pay offered to the successful candidate) are based on a number of objective criteria such as relevant experience and skills and educational qualifications level of responsibility demands of the role work location and business need. As a part of the total compensation package this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus as well as annual refresh stock grants awarded by Workday Inc. For more information regarding Workdays comprehensive benefits please click here.

Primary Location Base Pay Range: 104000 EUR - 156000 EUR Ireland

Our Approach to Flexible Work

With Flex Work were combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections maintain a strong community and do their best work. We know that flexibility can take shape in many ways so rather than a number of required days in-office each week we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers prospects and partners (depending on role). This means youll have the freedom to create a flexible schedule that caters to your business team and personal needs while being intentional to make the most of time spent together. Those in our remote home office roles also have the opportunity to come together in our offices for important moments that matter.

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