Manager, Data Engineering

This is a fully remote position, open to applicants in United States.

📋 Description

• Lead, mentor, and develop a team of data engineers, encompassing hiring, onboarding, career advancement, and performance oversight.

• Take ownership of the technical roadmap and architecture for the Enterprise Data platform, primarily utilizing Snowflake and Airflow.

• Integrate agentic tools into daily workflows for the development, testing, documentation, and review of pipelines.

• Guide engineers on agent-assisted or autonomous data quality assessments, self-healing pipelines, and LLM-driven data products.

• Collaborate with Analytics, Data Science, Product, and business stakeholders to create dependable and well-governed data products.

• Establish and uphold standards for data quality, observability, lineage, and cost efficiency.

• Propel modernization of data pipelines and assess new data and AI tools.

• Create scalable design review, incident response, and documentation protocols.

• Report on team performance, delivery, and platform reliability to engineering and business leadership.

⛳️ Requirements

• Over 7 years of experience in data engineering.

• More than 3 years of direct management or leadership of a team of data engineers.

• Extensive, hands-on production experience with Snowflake and Apache Airflow, including performance optimization, cost management, and large-scale workflow orchestration.

• Experience collaborating with distributed teams across different time zones.

• Proficient in SQL and Python.

• Familiarity with dbt, Fivetran/Airbyte, or other modern ELT tools.

• Professional experience utilizing AI coding assistants or agentic tools like Claude Code, GitHub Copilot, Cursor, or Snowflake CoCo.

• Proven history of mentoring and nurturing engineers.

• Working knowledge of data modeling, data governance, and data security/compliance practices.

• Exceptional communication skills, with the ability to articulate technical trade-offs in business terminology.

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent hands-on experience.

• Preferred: experience in designing or operating agentic workflows, ecommerce/SaaS/marketplace data, internal platforms or self-service tools, and cost governance/FinOps practices.

🏝️ Benefits

• Variable compensation such as bonuses or commissions, where applicable.

• Equity options, where applicable.

• Benefits aligned with local policies.

• An inclusive and accessible hiring process.

• Accommodations or adjustments during recruitment, if needed.