Manager, Data Engineering

AI-First Data Engineering Manager

Commerce the company behind BigCommerce, Feedonomics, and Makeswift is looking for an AI-first Data Engineering Manager to lead our Enterprise Data Engineering team. You'll own the roadmap for the Snowflake- and Airflow-based platforms that power reporting, analytics, AI and data products across the business, while building a team that treats AI agents as first-class teammates in the data engineering lifecycle.

This is a hands-on leadership role for someone who has shipped production data pipelines, has led engineers before, and is genuinely energized by agentic workflows not as a buzzword, but as a daily practice for how data gets built, tested, and monitored. You'll spend real time coaching your team on best practices in data engineering: pairing with coding agents, building and governing autonomous pipeline and quality agents, and raising the team's bar for speed and craft.

Responsibilities include:

• Lead, mentor, and grow a team of data engineers hiring, onboarding, career development, and performance management
• Own the technical roadmap and architecture for Commerce's Enterprise Data platform, built primarily on Snowflake and orchestrated with Airflow
• Champion an AI-first way of working by embedding agentic tools (e.g., Claude Code) into the team's daily workflow for pipeline development, testing, documentation, and code review
• Coach and upskill engineers on agentic data engineering designing agent-assisted or autonomous data quality checks, self-healing pipelines, and LLM-powered data products with clear guardrails, evaluation, and human-in-the-loop review
• Partner with Analytics, Data Science, Product, and business stakeholders to translate data needs into reliable, well-governed data products
• Set and enforce standards for data quality, observability, lineage, and cost efficiency across the Snowflake/Airflow estate
• Drive modernization of data pipelines and evaluate new data and AI tooling to keep the platform on the cutting edge
• Establish design review, incident response, and documentation practices that scale the team's impact without scaling headcount 1:1.
• Report on team health, delivery, and platform reliability to engineering and business leadership

Qualifications include:

• 7+ years in data engineering, with 3+ years directly managing or leading a team of data engineers.
• Deep, hands-on experience with Snowflake and Apache Airflow in production, including performance tuning, cost management, and workflow orchestration at scale.
• Experience working with distributed teams across time zones.
• Strong SQL and Python skills, and comfort reviewing or writing pipeline code alongside your team.
• Experience with dbt, Fivetran/Airbyte, or similar modern ELT tooling alongside Snowflake and Airflow.
• Real experience using AI coding assistants or agentic tools (e.g., Claude Code, GitHub Copilot, Cursor), Snowflake CoCo in a professional engineering workflow
• A track record of mentoring and developing engineers, including those more senior or specialized than you in a given area.
• Working knowledge of data modeling, data governance, and data security/compliance practices.
• Excellent communication skills you can translate technical tradeoffs into business terms and back again.
• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Pay Transparency: $150,000 - $220,000