Staff Data Engineer

Role Overview

As a Staff Data Engineer at Headway (full remote), you will transform raw data into business-ready intelligence, drive data infrastructure architecture, and ensure data quality and pipeline reliability. This is a hands-on technical leadership role with strong expectations around mentoring and architectural decision-making.

Key Missions

• Define the future state of the data infrastructure, set architectural direction, and establish organization-wide data standards.
• Lead complex, multi-functional initiatives around data quality governance and data pipeline maturity.
• Mentor and coach other data engineers to raise technical skill, code quality, and engineering maturity.

Responsibilities (What you’ll own)

• Architectural ownership of the data platform: roadmap definition, influencing cross-team decisions, and managing technical debt.
• Hands-on delivery: architecting and shipping large-scale, progressively complex data products.
• Establishing and applying best practices and architectural patterns across the modern data stack.

Requirements

• Strong track record of mentoring/coaching and elevating other engineers’ technical skills and engineering maturity.
• Proven ability to define the technical roadmap for an entire data platform and influence architecture across teams.
• 9+ years of experience in data engineering, including architecting and shipping large-scale data products.
• Expert proficiency in Snowflake, dbt, Apache Airflow, and Python.
• Deep mastery of advanced data modeling for production systems and high performance.

Nice-to-Haves

• 2+ years of marketplace/two-sided platform experience.