Senior Data Engineer II - AI- Data Platform; Hybrid

At Axon, we’re on a mission to Protect Life. We’re explorers, pursuing society’s most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other.

Life at Axon is fast‑paced, challenging and meaningful. Here, you’ll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter.

We are seeking a Senior Data Engineer II to play a pivotal role in building and advancing Axon’s Corporate Data Platform – a best‑in‑class, cloud‑native data warehouse that serves as the foundation for enterprise reporting, business self‑service analytics, and our growing Connected Intelligence initiatives. In this hands‑on senior individual contributor role, you will design, implement, and optimize modern data solutions across Snowflake, dbt, Fivetran, Elementary, Sigma, and the broader data engineering ecosystem.

You’ll serve as a technical anchor for the team, helping shape platform architecture, raise engineering standards, and build trusted, AI‑ready data infrastructure that drives business decisions across Axon. This role offers significant influence, visibility, and career growth for a senior engineer who wants to deepen their technical leadership while helping define what modern data engineering looks like at scale.

Location:

This role follows a hybrid schedule and is based out of one of our U.S. office hubs. We rely on in‑person collaboration and ask that team members work onsite Tuesdays through Fridays, with the flexibility to work remotely on Mondays, unless there is an approved workplace accommodation.

Reports to:

Director, Enterprise Data
Direct Reports:
None – this is an individual contributor role

• Serve as a senior technical anchor for Axon’s Corporate Data Platform, setting a high quality bar for engineering output, data modeling, testing, observability, and production readiness.
• Design, build, and optimize scalable data pipelines, models, and warehouse architecture across Snowflake, dbt, Fivetran, and related modern data platform technologies.
• Partner closely with the Principal Data Engineer, team lead, and cross‑functional stakeholders to influence architectural decisions and deliver reliable, governed, and AI‑ready data infrastructure.
• Build and maintain clean, well‑modeled datasets that power enterprise reporting, business self‑service analytics, and AI‑driven work‑streams across Finance, Sales, Operations, and other business functions.
• Contribute to Axon’s formal data governance framework, including data quality SLAs, audit‑scoped monitoring across Bronze, Silver, and Gold data layers, and SOX‑relevant compliance controls.
• Implement and uphold automated testing, monitoring, and data quality standards using tools such as dbt and Elementary, ensuring the platform meets internal and external audit integrity requirements.
• Mentor junior and mid‑level engineers through thorough code reviews, pairing on complex problems, technical guidance, and proactive knowledge sharing.
• Establish and evolve engineering best practices, including dbt conventions, data modeling patterns, testing standards, CI/CD workflows, and documentation practices.
• Evaluate and introduce new tools, patterns, and platform capabilities that help Axon stay ahead of growing enterprise data and AI needs.
• Drive measurable impact through improvements in platform reliability, pipeline SLA adherence, data quality test pass rates, engineering quality, governance maturity, and team capability.

• 10+ years of experience in data engineering, analytics engineering, software engineering, or modern data platform development, with a track record of delivering production‑ready data pipelines, models, and warehouse solutions.
• Hands‑on expertise with Snowflake, dbt, Fivetran, and modern ELT/data warehouse architecture; experience with Elementary, Sigma, CI/CD pipelines, cloud infrastructure, or AI/ML‑adjacent data tooling is a strong plus.
• Proficiency leveraging AI‑powered engineering tools…