Principal Data Engineer
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Job Description
Principal Data Engineer architecting cloud data platforms, pipelines, and AI agents for Axonius cybersecurity asset intelligence. Driving secure, scalable enterprise data architecture across business domains.
Responsibilities:
- Formulate and execute the technical architecture strategy for global ETL/ELT pipelines, streaming frameworks such as AWS Kafka, and Terraform infrastructure-as-code deployments for enterprise-wide AI/ML initiatives
- Serve as principal technical authority for the data engineering work group
- Establish development standards, code review practices, and evaluation criteria
- Architect, deploy, and maintain autonomous AI agents using LLMs such as Claude and Gemini
- Integrate AI agents into the modern data stack for automated insights
- Assess high-risk architectural challenges across GTM, Finance, Product, and other operational domains
- Make architectural decisions on data warehousing, schema drift mitigation, and data lake scalability
- Partner with IT, Security, Product infrastructure, and Analytics Engineering teams on governance, architecture, repository stability, scalability, and performance
- Implement automated pipeline monitoring, alerting, and ingestion-tier data cleansing mechanisms
- Isolate and fix broken fields and source schema drift
- Enforce global RBAC and PII data masking standards
Requirements:
- 10+ years of experience in data engineering, cloud data architecture, or specialized infrastructure roles
- Proven track record of delivering technical leadership for engineering work groups
- Advanced proficiency in SQL
- Advanced proficiency in Python for pipeline automation, data scripting, and AI agent orchestration frameworks
- Extensive experience designing, provisioning, and tuning production-grade cloud environments using Terraform
- Experience independently architecting real-time streaming topologies
- Experience with high-volume event data ingestions
- Experience developing custom API-driven connector/adapter frameworks
- Preferred: Experience using Agile management tools like Jira
- Preferred: Expertise with Snowflake
- Preferred: Experience managing cross-functional technical data requirements and standardizing architectures
- Preferred: Experience with machine learning training pipelines, Vector DBs, and operational AI
- Preferred: Experience with data cleansing, quality monitoring, and system resilience frameworks
- Preferred: Experience with multi-region AWS cloud data infrastructure
- Must be eligible to work in the United States, as indicated by the USA location and E-Verify participation
Benefits:
- Stock options
- Attractive benefits
- Annual bonus
- Competitive compensation
- Growth opportunities
- Community-building
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