Principal Data Engineer

Job not on LinkedIn

🔥 5 minutes ago

🇺🇸 United States – Remote

💵 $171k - $190k / year

⏰ Full Time

🔴 Lead

🚰 Data Engineer

👻 Ghost score 0%

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Axonius

WebsiteLinkedInAll Job Openings

501 - 1000 employees

🔒 Cybersecurity

☁️ SaaS

🏢 Enterprise

💰 $200M Series E on 2022-03

Cybersecurity • SaaS • Enterprise

Axonius is a company that provides a comprehensive platform for cybersecurity asset management and SaaS management. It offers solutions that give IT and security teams a complete inventory of their assets, uncover security issues, and automate remediation actions. Axonius connects to hundreds of data sources to aggregate, normalize, deduplicate, and correlate asset data, helping organizations manage risk, decrease incident response times, and automate processes. The platform is particularly useful for managing a sprawling array of devices, users, software, SaaS applications, and cloud services, enabling businesses to inform strategy and eliminate manual, repetitive tasks.

📋 Description

• 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