Senior Engineering Manager, Platform

🕒 April 21

🇺🇸 United States – Remote

💵 $200k - $250k / year

⏰ Full Time

🟠 Senior

👮‍♀️ Software Engineering Manager

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Datavant

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2017

⚕️ Healthcare Insurance

☁️ SaaS

🏢 Enterprise

💰 $40M Series B on 2020-10

Healthcare Insurance • SaaS • Enterprise

Datavant is a company that provides a platform and network focused on making health data secure, accessible, and usable across the healthcare ecosystem. With a focus on data connectivity and interoperability, Datavant facilitates the movement of healthcare records across a vast network of organizations, including hospitals, clinics, health systems, and data partners. Their suite of products and solutions covers areas such as health data exchange, data transformation, and privacy compliance, serving various clients including health plans, healthcare providers, life sciences, and government organizations. Datavant's mission is to advance human health through improved data exchange and analytics.

📋 Description

• Own the technical vision and roadmap for the Clinical Data Platform. Drive architecture for multi-tenant, multi-cloud data platforms, ensuring strong isolation, scalability, and compliance • Make high-stakes architectural decisions across data processing, storage, serving, and interoperability layers • Ensure platform capabilities support analytics, product features, and AI/ML use cases • Establish durable patterns for data lifecycle management (ingestion, validation, transformation, enrichment, serving) • Lead execution of complex, cross-functional initiatives with clear prioritization and measurable outcomes • Translate business and product needs into well-defined engineering plans and deliverables • Drive ruthless prioritization, focusing the team on highest-impact work while managing tradeoffs across speed, quality, and cost • Ensure high standards for operability, reliability, and performance in production systems • Oversee delivery across batch and real-time data systems • Build, lead, and scale a high-performing team of engineers and technical leads • Set a high bar for technical design, code quality, and system reliability • Mentor and develop engineers, creating strong technical ownership and accountability • Foster a culture of ownership, urgency, and continuous improvement • Partner closely with Product, Data Science, Platform, and Infrastructure teams

🎯 Requirements

• 10–15+ years of experience building and operating large-scale data or distributed systems • 5+ years of engineering leadership experience, including managing senior engineers and tech leads • Proven track record of delivering complex, high-impact platform initiatives • Strong technical depth across: • Software engineering (system design, distributed systems) • Data engineering (large-scale processing, modeling, pipelines) • Cloud infrastructure (AWS preferred; multi-cloud experience a plus) • Experience designing and operating multi-tenant, highly regulated data platforms • Demonstrated ability to drive clarity in ambiguous environments and lead from problem definition to execution • Strong track record of prioritization and execution discipline in fast-moving environments • Ability to balance hands-on technical involvement with organizational leadership.

🏖️ Benefits

• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Remote work options