Director of Integration Engineering

Job Description

Job Description

Salary :

This employer will not sponsor applicants for employment visa status (e.g., H1-B) for this position. All applicants must be currently authorized to work in the United States on a full-time basis.

Role Summary

The Director of Integration Engineering leads Loopbacks Data Integration team and serves as the senior-most authority on integration engineering. Reporting directly to the CTO, this role is accountable for the execution of integrations with a focus on speed, predictability, quality, and cost efficiency. The Director is a hands-on technical leader reviewing code, mentoring engineers, and instilling engineering best practices while driving outcomes at scale through automation, frameworks, and process discipline.

This role owns Loopbacks speed-to-value and unit economics for integrations, including both labor and infrastructure costs. The Director ensures new data sources are onboarded rapidly, accurately, and cost-effectively, with measurable impact on platform economics and client delivery outcomes.

Key Responsibilities

• Integration Leadership : Lead and grow the Data Integration team (data analysts and engineers) with a focus on speed, quality, and predictability.
• Technical Oversight : Provide hands-on review of Python, SQL, and Databricks code, ensuring technical excellence and maintainability.
• Mentorship : Elevate team capability through structured coaching, code reviews, and setting engineering best practices.
• Process Discipline : Define and enforce integration playbooks, onboarding frameworks, and delivery practices that reduce cycle times and defects.
• Cross-Functional Partnership : Collaborate with Product, Data Engineering, RWD, and PMO to align integration outcomes with business priorities and client expectations.
• Unit Economics & Cost Discipline : Own and track the economic performance of integrations, including cost-per-implementation, infrastructure costs, and opportunity cost of schedule delays translating integration economics into actionable engineering decisions and strategies for leveraging labor alternatives.
• Automation & Innovation : Drive initiatives that reduce manual effort in onboarding, optimize Snowflake / Databricks infrastructure spend, and improve speed-to-value.
• Domain Expertise : Apply deep healthcare data knowledge (Epic, Cerner, pharmacy, claims, RWD) to accelerate mapping, normalization, and onboarding success.

Qualifications & Profile

Success Metrics

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, or national origin.