Principal Data Architect

We are seeking a mission-driven Principal Data Architect to lead the design and implementation of advanced machine learning based analytics solutions in support of cybersecurity operations. This role is ideal for a hands-on architect with deep experience in building scalable data pipelines, integrating threat analytics into SIEM platforms, and deploying solutions via modern CI/CD workflows. You will play a critical role in shaping our cyber defense capabilities through data-driven innovation and automation.

WHAT YOU'LL DO

• Own end-to-end solution delivery, from concept through deployment, with a focus on performance, scalability, and security.
• Architect and implement robust data pipelines for ingesting, transforming, and analyzing cybersecurity telemetry, including streaming and batch processing.
• Design and deploy threat analytics frameworks that integrate with company’s custom SIEM solution to detect anomalies, malware, and adversarial behaviors.
• Design scalable ML infrastructure and interfaces that enable data scientists to efficiently build, train, and deploy models.
• Work with the Data Science team to develop graph analytics and NLP-based models to support advanced threat detection, network intelligence, and behavioral analysis.
• Collaborate with MLOps and software engineering teams to ensure seamless integration of ML models into production systems and define best practices.
• Lead CI/CD initiatives to automate deployment of analytics models, data workflows, and infrastructure across cloud and hybrid environments.
• Ensure data integrity and instrumentation from source systems to end-user applications, enabling high-confidence decision-making.
• Collaborate with cross-functional teams including security analysts, data scientists, and DevOps engineers to deliver integrated solutions.

QUALIFICATIONS

• 10+ years of experience in data engineering, machine learning, cybersecurity, and threat analytics.
• Proven expertise in streaming analytics, graph analytics, and data integration.
• Hands-on experience with cloud platforms (AWS, Azure, GCP) and SIEM (e.g. Splunk)
• Proficiency in Python, C++, and modern ML/AI frameworks.
• Familiarity with LLMs, LangChain, and agentic workflows for automation.
• Strong understanding of CI/CD pipelines, containerization (Docker), and orchestration (Kubernetes).
• Excellent communication skills with the ability to bridge technical and non-technical stakeholders.

Preferred Qualifications

• Background in cybersecurity threat analysis, and vulnerability research.
• Demonstrated ability to lead remote teams and drive cross-functional collaboration.
• Experience in teaching and presenting at industry-leading conferences and training venues.