AI-First Data Engineering Manager (Snowflake & Airflow)

Feedonomics

Austin, Atlanta (TX, GA)

Hybrid

USD 150,000 - 250,000

Full time

6 days ago
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Benefits offered by this job

Remote-first company
Optional collaborative workspaces

Job summary

Commerce is seeking an AI-first Data Engineering Manager to lead our Enterprise Data Engineering team and own the Snowflake- and Airflow-based platform roadmap that powers reporting, analytics, and data products across the business. This role emphasizes building agentic data pipelines and guiding engineers in modern, governance-focused practices.

You will mentor senior engineers, drive standards for data quality and observability, and collaborate with analytics and product teams to deliver

Qualifications

  • 7+ years in data engineering
  • 3+ years leading a data-engineering team
  • Hands-on production Snowflake and Airflow experience
  • Strong SQL and Python skills
  • Experience with dbt and modern ELT tooling

Responsibilities

  • Lead, mentor, and grow a team of data engineers
  • Own the technical roadmap for Commerce’s Enterprise Data platform
  • Embed agentic tools into daily data engineering workflows
  • Coach on agentic data engineering and autonomous data quality checks
  • Partner with Analytics, Data Science, and stakeholders to create reliable data products

Skills

Snowflake
Apache Airflow
SQL
Python
dbt
Fivetran/Airbyte
AI coding assistants
Mentoring
Data governance
Data modeling

Education

Bachelor’s degree in Computer Science or related field

Tools

Claude Code
GitHub Copilot
Snowflake CoCo

Job description

Commerce is seeking an AI-first Data Engineering Manager to lead our Enterprise Data Engineering team and own the Snowflake- and Airflow-based platform roadmap that powers reporting, analytics, and data products across the business. This role emphasizes building agentic data pipelines and guiding engineers in modern, governance-focused practices.

You will mentor senior engineers, drive standards for data quality and observability, and collaborate with analytics and product teams to deliver

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