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About the Role
Commerce is seeking an AI-first Data Engineering Manager to lead the Enterprise Data Engineering team. This role involves owning the roadmap for Snowflake- and Airflow-based platforms that support reporting, analytics, AI, and data products, while fostering a team that integrates AI agents into the data engineering lifecycle. It's a hands-on leadership position for individuals experienced in production data pipelines and team leadership, who are enthusiastic about agentic workflows as a daily practice.
Responsibilities
- Lead, mentor, and grow a team of data engineers, including hiring, onboarding, career development, and performance management.
- Own the technical roadmap and architecture for Commerce’s Enterprise Data platform, built on Snowflake and orchestrated with Airflow.
- Champion an AI-first approach by integrating agentic tools into the team’s daily workflow for pipeline development, testing, documentation, and code review.
- Coach and upskill engineers on agentic data engineering practices, including agent-assisted or autonomous data quality checks, self-healing pipelines, and LLM-powered data products.
- 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 environment.
- Drive modernization of data pipelines and evaluate new data and AI tooling.
- Establish design review, incident response, and documentation practices to scale team impact efficiently.
- Report on team health, delivery, and platform reliability to engineering and business leadership.
Requirements
- 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.
- Experience with dbt, Fivetran/Airbyte, or similar modern ELT tooling alongside Snowflake and Airflow.
- Professional 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.
- Working knowledge of data modeling, data governance, and data security/compliance practices.
- Excellent communication skills, capable of translating technical tradeoffs into business terms and vice versa.
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
Skills
- Snowflake
- Apache Airflow
- SQL
- Python
- dbt
- Fivetran
- Airbyte
- AI coding assistants
- Agentic tools
- Claude Code
- GitHub Copilot
- Cursor
- Snowflake CoCo
- Data modeling
- Data governance
- Data security
- Data compliance
- LLM-driven pipeline monitoring
- Autonomous anomaly detection
- RAG-based data catalogs/search
- LangGraph
- AutoGen
- MCP-based tooling
- Ecommerce data
- SaaS data
- Marketplace data
- FinOps practices
Location
- Austin metro area
- Atlanta metro area
Work Type
- Hybrid
Experience Level
- 3+ years managing or leading a team
- 7+ years in data engineering
Education Level
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
Salary/Compensations
- $150,000 - $220,000
Benefits
- Variable compensation (such as bonus or commission)
- Equity
- Benefits in accordance with local policies
About the Company
- Commerce, the parent company of BigCommerce, Feedonomics, and Makeswift, operates an open, AI-driven commerce ecosystem designed to empower businesses.
- The company connects tools and systems that drive growth, enabling businesses to leverage data, deliver personalized cross-channel experiences, and adapt to market changes.
- Commerce believes in responsible AI utilization to unlock new possibilities and seeks individuals who intentionally use AI to solve problems and accelerate outcomes.
- The company's purpose is to help businesses confidently solve complex commerce challenges, enabling them to build smarter, adapt faster, and grow on their own terms.
- Commerce is looking for bold builders, sharp thinkers, and technical trailblazers to shape the future of commerce.
Equal Opportunity
- Commerce believes that celebrating the unique histories, perspectives and abilities of every employee makes a difference for our company, our customers and our community.
- We are an equal opportunity employer and the inclusive atmosphere we build together will make room for every person to contribute, grow and thrive.
- We are committed to creating an inclusive and accessible hiring experience for all candidates.
- If you require accommodations or adjustments at any stage of the recruitment process, please let us know and we will work with you to meet your needs.