Manager, Data Engineering

🔥 1 minute ago

🇺🇸 United States – Remote

💵 $150k - $250k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🚰 Data Engineer

🦅 H1B Visa Sponsor

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Logo of Commerce

Commerce

1001 - 5000 employees

🛍️ eCommerce

🤖 Artificial Intelligence

🤝 B2B

eCommerce • Artificial Intelligence • B2B

Commerce is a company that provides flexible, AI-driven solutions designed for next-generation commerce. It connects various tools and systems to drive growth and unlock data potential for businesses. With a focus on delivering seamless, personalized experiences at scale, Commerce supports businesses through tailored solutions and end-to-end services. Its platform includes offerings like BigCommerce, Feedonomics, and Makeswift, aimed at enabling innovation, optimizing data, and creating customizable digital experiences.

📋 Description

• Lead, mentor, and grow a team of data engineers, including hiring, onboarding, career development, and performance management • Own the technical roadmap and architecture for the Enterprise Data platform built primarily on Snowflake and Airflow • Embed agentic tools into daily workflows for pipeline development, testing, documentation, and code review • Coach engineers on 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 build reliable, well-governed data products • Set and enforce standards for data quality, observability, lineage, and cost efficiency • Drive data pipeline modernization and evaluate new data and AI tooling • Establish scalable design review, incident response, and documentation practices • Report on team health, delivery, and platform reliability to engineering and business leadership

🎯 Requirements

• 7+ years in data engineering • 3+ years directly managing or leading a team of data engineers • Deep, hands-on production experience with Snowflake and Apache Airflow, including performance tuning, cost management, and workflow orchestration at scale • Experience working with distributed teams across time zones • Strong SQL and Python skills • Experience with dbt, Fivetran/Airbyte, or similar modern ELT tooling • Professional experience using AI coding assistants or agentic tools such as Claude Code, GitHub Copilot, Cursor, or Snowflake CoCo • Track record of mentoring and developing engineers • Working knowledge of data modeling, data governance, and data security/compliance practices • Excellent communication skills and ability to translate technical tradeoffs into business terms • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience • Nice to have: experience designing or operating agentic workflows, ecommerce/SaaS/marketplace data, internal platforms or self-service tooling, and cost governance/FinOps practices

🏖️ Benefits

• Variable compensation such as bonus or commission, where applicable • Equity, where applicable • Benefits in accordance with local policies • Inclusive and accessible hiring experience • Accommodations or adjustments during recruitment, if required

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