Lead Data Engineer

About this role

Acclinate is seeking a hands-on Data & Analytics Lead to establish a connected, reliable data environment that enables insight-driven decision making, supports business development, and demonstrates measurable impact across our clinical trial engagement efforts. This role will unify currently distributed data sources, build a scalable and practical data infrastructure, and translate complex healthcare, community, and operational data into actionable intelligence for internal teams, partners, and future stakeholders. The position combines technical execution with analytical leadership to ensure Acclinate’s data assets are trusted, usable, and aligned with long-term growth.

### About Acclinate Inc.

Acclinate is the catalyst for health equity. We use trust, technology, and community engagement to help the healthcare ecosystem connect with those they aim to serve. Our approach ensures innovation is inclusive, empowering communities to take actions for better health.

### Description

As Acclinate's Lead Data Engineer, you will design, build, and operate the data infrastructure that powers the company's analytics, CRM, marketing, and machine learning initiatives. This is a hands-on role: you will be equally responsible for long-term architectural strategy and for the day-to-day engineering, pipeline maintenance, and reporting work that keeps Acclinate's data ecosystem running. You'll work across our event-driven architecture, CRM data platform, BI tooling, and production ML systems, partnering closely with the data lead, engineering, marketing, community, and customer success teams.

Key Responsibilities

• Design Event-Driven Data Models and Tables: Architect logical and physical data models, creating necessary data tables and schemas to effectively capture, store, and make accessible vast amounts of data generated by event streams. This includes defining how events are transformed into structured data suitable for analysis.
• Orchestrate Data Integrat...