Director or VP of Data Engineering

AcuityMD is a software and data platform that accelerates access to medical technologies. We help MedTech companies understand how their products are used, why customers vary, and identify opportunities for physicians to better serve their patients. Each year, the FDA approves ~6,000 new medical devices. Our solution helps MedTech companies get these products to physicians more effectively so they can improve patient care with the latest technology. We're backed by Benchmark, Redpoint, ICONIQ Growth, and Ajax Health. We’re a high-growth SaaS company scaling rapidly.

As Director or VP of Data Engineering, you will shape the systems that define how we understand healthcare at scale. You will decide what “truth” looks like in a messy, fragmented world and how fast and confidently our customers can act on it. Your technical, product, and leadership decisions will directly impact how quickly medical innovation becomes medical care.

If you’re excited by the idea that better data infrastructure can lead to better outcomes for real people this role was built for you.

Team Mission

Medical technology only changes lives when it’s actually used. Every year, devices that could meaningfully help patients fail to reach the people who need them, not because the technology doesn’t work, but because adoption in the real world is hard.

AcuityMD exists to close that gap. We help MedTech companies turn promising technology into real care by giving them the most accurate, actionable model of healthcare reality ever built.

The data team sits at the center of that mission.

The platforms and products this team builds power every part of our application and agentic experiences. They determine whether our customers can identify the right patients, reach the right providers, make the right decisions, and ultimately help the right people at the right time. When our data is right, billions of dollars of value are unlocked for our customers, and real patients get access to technologies that can improve or save their lives.

This data team exerts massive leverage across our company and customer outcomes.

Responsibilities

• Set and own the technical and organizational north star for data engineering at AcuityMD—defining how we build the world’s most accurate and actionable model of healthcare reality.
• Lead the design, implementation, and evolution of our core data platform, powering every aspect of our product and agentic experiences—from analytics and workflows to AI-driven insights.
• Translate company and product strategy into clear data investments, and clearly articulate the customer value of those investments to engineering, product, and leadership partners.
• Go deep when it matters: drive architectural decisions, review critical designs, debug hard problems, and coach the team through complex technical tradeoffs.
• Build data systems that are constantly improving, reliable, and trusted—supporting massive scale, complex healthcare data, and customer-facing use cases where correctness truly matters.
• Partner closely with product, data science, and engineering leaders to ensure tight feedback loops between data generation, modeling, and real-world customer outcomes.
• Lead, mentor, and grow a high-impact team of data engineers, data scientists, and domain experts, setting a high bar for methodological and technical rigor, ownership, and velocity.
• Establish strong—but pragmatic—standards for data quality, testing, observability, lineage, and governance, without slowing the team down.
• Shape the culture of the data organization: how we plan, how we ship, how we review work, and how we learn from mistakes.
• Stay close to the evolving state of modern data engineering and analytics engineering, bringing in new ideas when they meaningfully raise our ceiling.

Your Profile

• 10+ years of professional experience in data engineering, data platforms, or closely related software engineering roles, including significant technical leadership experience.
• You’re as comfortable discussing schemas, query performance, and orchestration as you are discussing product strategy, customer impact, and team design.
• You are deeply hands-on and have designed, built, and operated production data systems that matter—pipelines, transformations, analytical models, and platforms that real users rely on.
• You’re fluent in Python and SQL, and have