[Remote] Manager, Data Engineering

Note: The job is a remote job and is open to candidates in USA. Commerce is hiring a Data Engineering Manager to lead its Enterprise Data Engineering team and own the roadmap for its Snowflake- and Airflow-based data platform. The role combines hands-on technical leadership, team development, and adoption of AI-assisted and agentic workflows for building, testing, and monitoring data pipelines and products.

Responsibilities

• 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

Skills

• 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
• Experience designing or operating agentic workflows: LLM-driven pipeline monitoring, autonomous anomaly detection, RAG-based data catalogs/search, or agent frameworks such as LangGraph, AutoGen, or MCP-based tooling
• Background in ecommerce, SaaS, or marketplace data (order, catalog, or customer data at scale)
• Experience building internal platforms or self-service tooling that let analysts and other engineers move faster
• Familiarity with cost governance and FinOps practices for cloud data platforms

Benefits

• Remote role
• May be eligible for variable compensation (such as bonus or commission), in accordance with local policies
• May be eligible for equity, in accordance with local policies

Company Overview

Company H1B Sponsorship