Sr. Director, Data Engineering + Integrations

Prolaio; Chicago (IL); On-site; USD 230,000 - 260,000; Full time

Benefits offered by this job

Competitive salary

Equity

Excellent health coverage

Flexible spending

Generous PTO

Parental leave

401(k)

Telehealth access

Job summary

Prolaio, in Chicago, seeks a Sr. Director of Data Engineering + Tooling to lead and scale our healthcare data engineering capabilities, building secure, compliant, AI-enabled data platforms for clinical intelligence and real-world data pipelines.

You will partner with Product, Engineering, Quality, and Clinical Operations to embed HIPAA and regulatory expectations into data features and workflows, guiding a growth-stage organization toward faster therapeutic discovery and better cardiovascular

Qualifications

• Bachelor’s degree in computer science, Data Engineering, Information Systems, Biomedical Informatics, Engineering, or related field.
• 15+ years of experience in healthcare, medtech, life sciences, digital health, or another patient-focused environment, with meaningful responsibility for data platforms, platform engineering, or cloud-native enterprise platforms.
• At least 7 years of experience as a Director or Sr. Director leading data engineering or closely related data platform teams in growth-stage or innovation-driven organizations.
• Demonstrated experience architecting and delivering healthcare data platforms that support structured, semi-structured, and unstructured data, with proven success in regulated or validated environments.
• Deep understanding of healthcare data domains and standards (HL7, FHIR, ICD, SNOMED CT, LOINC, RxNorm, OMOP, CDISC).
• Proven experience designing and operating end-to-end data flows, scalable pipelines, lineage, provenance, traceability, and data lifecycle management.
• Strong familiarity with cloud platforms (GCP, AWS, Azure) and modern data platforms (Snowflake, Databricks, BigQuery, Redshift, Synapse).
• Strong software/data engineering experience with Python and SQL and at least one of Java or .NET; frontend knowledge (Angular/React) is a plus.
• Cross-functional, matrixed collaboration with Product, Engineering, Data Science, Analytics, Clinical Operations, Quality, Security.

Responsibilities

• Lead Prolaio’s data engineering strategy and roadmap for secure, scalable data platforms in regulated healthcare settings.
• Architect end-to-end data flows and pipelines across batch, streaming, and hybrid workloads.
• Own scalable, secure data platforms for structured, semi-structured, and unstructured clinical and operational data.
• Define and enforce data modeling, lifecycle, lineage, provenance, and auditability with HIPAA and privacy practices.
• Partner with Data Architecture to apply healthcare standards and deliver interoperable datasets.
• Build data platforms across cloud and data platforms (e.g., Snowflake, Databricks, BigQuery, Redshift, Synapse).
• Lead AI-enabled data engineering features such as data quality monitoring and feature generation workflows.
• Collaborate with Quality, Clinical Operations, Security, Product, and Engineering to embed governance and release readiness.
• Establish high-performing teams, coaching, and cross-functional alignment in a growth-stage environment.
• Assist vendor/tool evaluations for data integration, quality, and AI-enabled data management.

Skills

Python

SQL

Java

.NET

Leadership

Data modeling

Regulatory compliance

Education

Bachelor’s degree in computer science or related field

Tools

GCP

AWS

Azure

Snowflake

Databricks

BigQuery

Redshift

Synapse

Airflow

Job description

Chicago, IL

Who Are We?

Prolaio believes that continuous learning and collaboration can make a significant difference in how heart care is administered. We are creating smarter ways to address heart disease and heart risks by uniting patients, care teams, and researchers on a secure, technology-enabled platform that drives clinical innovation and offers a path towards better patient outcomes.

This is precision cardiology, and we know it’s within reach.

What Will You Do?

The Overview

The Sr. Director, Data Engineering + Tooling will lead and scale Prolaio’s healthcare data engineering capabilities that power its clinical intelligence products, real-world data pipelines, analytics, data science, clinical operations, quality, and data services in a regulated environment, building secure, reliable, and AI-enabled data platforms that transform continuous, predictive, and shareable heart data into faster therapeutic discovery and better cardiovascular outcomes while operating as a self-starter senior leader in a growth-stage company. This role will ensure that core data engineering features and services are built with security, privacy, compliance, and auditability by design, and other regulatory expectations relevant to Prolaio’s clinical and patient-data environment. This role will partner with colleagues in Product, Engineering, Quality, Clinical Operations to embed security, privacy, HIPAA and regulatory expectations into every layer of the data engineering features. This is a role for a self-starter and experienced engineering leader who brings both organizational leadership and strong technical credibility in designing, building, and continuously enhancing data engineering and AI-enabled data pipeline features in a growth-stage company.

The Specifics

• Lead Prolaio’s enterprise data engineering strategy and roadmap to deliver secure, scalable, and reliable data platform capabilities aligned to clinical, research, product, and AI priorities in regulated healthcare settings.
• Architect and oversee end-to-end data flows and reusable pipelines for ingestion, validation, transformation, enrichment, publishing, retention, archival, and decommissioning across batch, streaming, and hybrid workloads.
• Own the design and implementation of scalable, secure, and interoperable data platforms that support structured, semi-structured, and unstructured clinical, operational, device, and patient-generated data relevant to Prolaio’s cardiovascular mission.
• Define and enforce engineering standards for data modeling, lifecycle management, lineage, provenance, traceability, and auditability, embedding HIPAA, privacy, security, and GxP-aligned practices into day-to-day development workflows.
• Partner closely with Data Architecture to design and govern conceptual, logical, and physical data models, apply healthcare standards (e.g., HL7, FHIR, ICD, SNOMED CT, LOINC, RxNorm, OMOP, CDISC), and deliver analysis-ready, interoperable datasets.
• Build and evolve robust data engineering capabilities across modern cloud platforms (e.g., GCP, AWS, Azure) and data platforms (e.g., Snowflake, Databricks, BigQuery, Redshift, Synapse), including orchestration, metadata, APIs, and integration patterns.
• Lead the development of AI-enabled data engineering features such as intelligent data quality monitoring, metadata enrichment, semantic search, feature generation workflows, and automation that accelerate analytics, data science, and clinical research teams.
• Collaborate with Quality, Clinical Operations, Security, Product, and Engineering to embed validation, change management, governed data access, master data management, and release readiness into the data platform lifecycle.
• Establish and manage high-performing data engineering teams, providing clear ownership, coaching, and execution discipline suited to a fast-moving growth-stage environment, while influencing architecture and implementation decisions across a matrixed organization.
• Support vendor and tool evaluation, including build-versus-buy decisions for data integration, quality, metadata, lineage, interoperability, and AI-enabled data management capabilities.

Why Prolaio?

• Impactful Work: You will join in the fight against heart failure (HF) and hypertrophic cardiomyopathy (HCM) with the goal of extending and saving the lives of our patients while also being at the forefront of changing the healthcare industry through technology.
• Innovative Environment: You will be part of an organization doing something that’s never been done before.
• Professional Growth: You will join a growing team and have a substantial impact on our daily and future operations with the opportunity to continuously learn and grow.
• Collaborative Team: You will be part of a team of collaborative, curious, and committed individuals focused on the collective good, inclusiveness, scientific excellence, and advancing digital health for cardiology.

Who You Are?

• Bachelor’s degree in computer science, Data Engineering, Information Systems, Biomedical Informatics, Engineering, or a related field.
• Minimum 15 years of experience in healthcare, medtech, life sciences, digital health, or another patient-focused environment, with meaningful responsibility for data platforms, platform engineering, or cloud-native enterprise platforms.
• At least 7 years of experience as a Director or Sr. Director (or equivalent senior leadership role) leading data engineering or closely related data platform teams in growth-stage or innovation-driven organizations.
• Demonstrated experience architecting and delivering healthcare data platforms that support structured, semi-structured, and unstructured data, with proven success in regulated or validated environments.
• Deep understanding of healthcare data domains (clinical trials, cardiovascular and physiological data, real-world data, claims, medication, socio-economic and behavioral data) and the application of healthcare terminologies and common data models (e.g., HL7, FHIR, ICD, SNOMED CT, LOINC, RxNorm, OMOP, CDISC).
• Proven experience designing and operating end-to-end data flows, scalable pipelines, lineage, provenance, traceability, and data lifecycle management that support product, analytics, data science, clinical operations, quality, and data services use cases.
• Strong familiarity with cloud platforms such as GCP, AWS, or Azure and modern data platforms such as Snowflake, Databricks, BigQuery, Redshift, Synapse, or comparable environments, including hands-on work with orchestration, APIs, and integration.
• Strong software engineering and data engineering experience with Python and SQL and at least one of Java or .NET, with a track record of building internal data platform features, services, and developer tooling; experience with modern front-end frameworks (e.g., Angular or React) is good to have. Experience in developing Agentic pipelines would be a plus.
• Demonstrated ability to work effectively in cross-functional, matrixed organizations, partnering with Product, Engineering, Data Science, Analytics, Clinical Operations, Quality, and Security, with a self-starter mindset and comfort with ambiguity in a growth-stage environment.
• Familiarity with metadata, lineage, catalog, governance, and AI-enablement tools, including platforms for semantic indexing, vectorization, retrieval, and data lifecycle automation, and experience implementing governed data access and privacy-aware architectures.

Why You’ll Love Working Here

• Meaningful Compensation: Competitive salary, performance bonus, and equity so you can share in what we build.
• Great Health Coverage: Medical, dental, and vision plans with multiple options and strong company contributions.
• Flexible Spending Perks: HSA, FSA, commuter benefits, and a $1,200 annual Lifestyle Spending Account to support wellness, commuting, family needs, and more.
• Time to Recharge: Generous paid time off, sick leave, and company holidays.
• Family-First Benefits: Paid parental leave, caregiver leave, and support for growing families.
• Security & Peace of Mind: Company-paid life insurance and short- and long-term disability coverage.
• Plan for the Future: 401(k) plan to help you build long-term financial security.
• Care When You Need It: Easy access to telehealth and optional supplemental coverage for life’s unexpected moments.

Starting Salary is at $229,000.00 (Exact Compensation may vary based on skills, experience, and location

As set forth in Prolaio’s Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law.