Manager, Data Engineering

Commerce

. Lead, mentor, and grow a team of data engineers, including hiring, onboarding, career development, and performance management .

Posted 10/19/2026full-timeRemote • United StatesSeniorLead💰 $150,000 - $250,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in data engineering, with a strong focus on leading teams, managing technical roadmaps, and ensuring data quality and governance. Proficient in Snowflake, Apache Airflow, and modern ELT tooling, with a commitment to mentoring and developing engineering talent.

Highest-signal resume keywords

Data Engineering LeadershipSnowflake ExpertiseApache Airflow ProficiencySQL and Python SkillsData Governance Knowledge

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringSnowflakeApache AirflowSQLPythonDbtFivetranAirbyteData ModelingData Security

Soft Skills

MentoringCommunicationCollaboration

Tools & Technologies

AI Coding AssistantsClaude CodeGitHub CopilotCursorSnowflake CoCo

Certifications & Qualifications

Bachelor’s Degree in Computer ScienceBachelor’s Degree in Engineering

Industry Keywords

Data QualityData GovernanceCost ManagementWorkflow OrchestrationIncident Response

Tech Stack

Tools & technologies

AirflowApachePythonSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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