Senior Data Engineer II
Senior
Cloud
Cloud Data Warehouse
Cloud Data Warehouse
Cloud Platform
Cloud Platforms
Data
Data Analysis
Data Analytics
Data Architecture
Data Build Tool
Data Engineer
Data Engineering
Data Governance
Data Integration
Data Management
Data Modeling
Data Operations
Data Pipeline
Data Pipelines
Data Platform
Data Processing
Data Security
Data Warehouse
Data Warehousing
Database
Databases
Dataops
ETL
Fivetran
Informatica
Integration
Reporting and Analytics
Snowflake
SQL
Job Description
Axon is hiring a Senior Data Engineer II to help build and scale Axon’s Corporate Data Platform for enterprise reporting, self-service analytics, and Connected Intelligence.
Responsibilities
- Act as a senior technical anchor for Axon’s Corporate Data Platform, driving high standards for engineering output, data modeling, testing, observability, and production readiness.
- Design, build, and optimize scalable data pipelines, models, and warehouse architecture using Snowflake, dbt, Fivetran, and related modern data platform technologies.
- Collaborate with the Principal Data Engineer, team lead, and cross-functional stakeholders to influence architecture and deliver reliable, governed, AI-ready data infrastructure.
- Develop and maintain clean, well-modeled datasets that support enterprise reporting, business self-service analytics, and AI-driven workstreams across Finance, Sales, Operations, and other functions.
- Contribute to Axon’s data governance framework, including data quality SLAs, audit-scoped monitoring across Bronze, Silver, and Gold layers, and SOX-relevant compliance controls.
- Implement and uphold automated testing, monitoring, and data quality standards using dbt and Elementary, aligning with internal and external audit integrity requirements.
- Mentor junior and mid-level engineers through thorough code reviews, pairing on complex issues, 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.
- Assess and introduce new tools, patterns, and platform capabilities to support growing enterprise data and AI needs.
- Drive measurable improvements across platform reliability, pipeline SLA adherence, data quality test pass rates, engineering quality, governance maturity, and team capability.
Requirements
- 10+ years of experience in data engineering, analytics engineering, software engineering, or modern data platform development, with delivery of 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.
- Experience using AI-powered engineering tools such as Cursor and Claude Code as part of daily workflows, using AI to improve engineering quality, speed, documentation, testing, and troubleshooting.
- Strong skills in data modeling, SQL, testing, observability, and performance optimization, with a focus on building reliable, governed, maintainable systems.
- Experience supporting data governance, data quality frameworks, auditability, compliance controls, or SOX-relevant environments.
- Proven ability to operate as a senior individual contributor: owning complex technical problems, influencing architecture, raising code quality, and delivering high-impact work without close direction.
- Passion for mentorship and team elevation, including code reviews, pairing, knowledge sharing, and helping establish practical engineering standards.
- Strong collaboration and communication skills, partnering effectively with technical teams and business stakeholders across Finance, Sales, Operations, and more.
- Values-aligned mindset: ownership, integrity, solving hard problems, and building systems that help the business move faster and smarter.
Technologies
- Snowflake
- dbt
- Fivetran
- Elementary
- Sigma
- SQL
- CI/CD
- Cursor
- Claude Code
Benefits
- Competitive salary range and 401k with employer match
- Discretionary paid time off
- Paid parental leave for all
- Medical, Dental, Vision plans
- Fitness Programs
- Emotional & Mental Wellness support
- Learning & Development programs
- Employee Resource Groups (ERGs)
- Snacks in office
Location and Schedule
- New York, NY (hybrid)
- Hybrid schedule based out of a U.S. office hub
- Onsite Tuesdays through Fridays
- Remote on Mondays with flexibility, unless an approved workplace accommodation applies
Reporting Line
- Reports to Director, Enterprise Data
- Direct reports: None (individual contributor role)
Compensation
- USD 134,250 - 214,800 per year