Principal Data Engineer

About the Role 

You will be joining the Data Engineering Community that specializes in data pipeline design within a matrix style organization. This community serves as the connective tissue for aligning data strategy, sharing best practices, and accelerating innovation across diverse product-focused initiatives. You will be working cross-functionally to create analytics and pipelines to discover IOCs on xOT assets within networks. 

Responsibilities 

• As a Principal Data Engineer within the Data Engineering Community, you will: 
• Lead cross-functional efforts to re-architect or modernize core data systems. 
• Create sustainable data contracts that address data governance requirements. 
• Enable scalable, secure, and reliable data pipelines that support both cloud and on-prem environments. 
• Implement real-time data processing solutions for configuration and asset communication pipelines. 
• Partners with leadership to align team efforts to broaden company data strategy. 
• Collaborate with product engineering teams to deliver data solutions that enhance customer-facing products. 
• Establish and contribute to shared tooling for observability, lineage tracking, and configuration validation. 

Minimum Qualifications 

• 10+ years of data engineering experience
• Cybersecurity experience
• Architecture expertise creating scalable systems, designing efficient data storage and processing systems.
• Expertise in data modeling, including incremental models, dimensional models, network topologies, and graph structures.
• Cross-functional communication skills.
• Skilled in implementing data observability frameworks, designing robust data contracts, and optimizing data structures for performance and scalability.
• Software development skills in Rust, Go, JVM-family, Python, and/or Node.js languages.
• Experience manipulating, processing, and extracting value from medium-to-large scale datasets, especially relevant if cybersecurity or industrial data.  
• Knowledge of integrating cloud and on-premises technologies in industrial environments, with deployments on Kubernetes and Docker.
• Experience with message queues, stream processing on deployable infrastructure.
• Detailed domain familiarity and prior experience in at least one data-heavy field/product market segment, especially relevant if knowledgeable in cybersecurity threat detections, threat intelligence, or ICS/OT operations. 

Compensation: 

• Salary: $225,000
• Competitive Equity Package 
• Comprehensive Benefits Plan 

 

 

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