Director, Data Product Engineering at Komodo Health

, , United States -

Full Time

Start Date

Immediate

Expiry Date

03 Mar, 26

Salary

285000.0

Posted On

03 Dec, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Distributed Systems, Data Platform Development, Python, SQL, Airflow, Snowflake, Spark, Data Modeling, Schema Design, Technical Strategy, Leadership, Coaching, Mentoring, AI Integration, Collaboration

Industry

Software Development

Description

We Breathe Life Into Data At Komodo Health, our mission is to reduce the global burden of disease. And we believe that smarter use of data is essential to this mission. That’s why we built the Healthcare Map — the industry’s largest, most complete, precise view of the U.S. healthcare system — by combining de-identified, real-world patient data with innovative algorithms and decades of clinical experience. The Healthcare Map serves as our foundation for a powerful suite of software applications, helping us answer healthcare’s most complex questions for our partners. Across the healthcare ecosystem, we’re helping our clients unlock critical insights to track detailed patient behaviors and treatment patterns, identify gaps in care, address unmet patient needs, and reduce the global burden of disease. As we pursue these goals, it remains essential to us that we stay grounded in our values: be awesome, seek growth, deliver “wow,” and enjoy the ride. At Komodo, you will be joining a team of ambitious, supportive Dragons with diverse backgrounds but a shared passion to deliver on our mission to reduce the burden of disease — and enjoy the journey along the way. The Opportunity at Komodo Health The Data Foundations & Data Products organization builds and operates the core data infrastructure that powers Komodo’s Healthcare Map and analytical products. The team owns the ingestion, transformation, modeling, and enrichment of healthcare data at scale, enabling product teams, data scientists, and customers to leverage clean, accurate, and timely insights. We partner closely with Engineering, Product, and cross-functional leaders to deliver reliable data platforms that drive Komodo’s mission. This role exists to lead the engineering teams responsible for architecting and scaling Komodo’s foundational data platform and data product pipelines. As Director of Engineering, you will set the technical vision, drive execution across multiple teams, and ensure we deliver best-in-class, scalable data products that power our platform and customer-facing offerings. You will guide a high performing team, elevate engineering excellence, and collaborate with product, engineering, and other teams to ensure our data generates meaningful business value. Looking back on your first 12 months at Komodo Health, you will have accomplished… Defined and implemented a multi-quarter technical vision and roadmap for Komodo’s data platform, improving scalability, performance, and data quality across Healthcare Map and data products. Scaled and structured high-performing engineering teams, including hiring, mentoring, and developing managers and senior engineers. Delivered major architectural upgrades to the data platform (pipelines, orchestration, modeling standards, developer workflow, and observability). Established data engineering best practices across the organization, influencing coding standards, testing frameworks, CI/CD, and operational excellence. Improved data platform reliability and cost efficiency, demonstrating measurable improvements in timeliness, data quality, and SLA adherence. These are the essential job duties you will be responsible for … Leadership & Strategy Lead an engineering team building Data Products and pipelines that power Komodo’s platform. Own technical strategy, architecture, and prioritization in partnership with Product, Data Science, and Platform Engineering leaders. Drive execution of high-impact initiatives spanning ingestion, transformation, modeling, enrichment, and data platform services. Develop engineering managers and senior engineers; model high standards for engineering excellence, reliability, and velocity. Build a culture of ownership, inclusion, high performance, and continuous learning. Technical Oversight Architect and guide the design of reliable, scalable, cost-efficient data pipelines and distributed processing systems using Airflow, Python, SQL, Snowflake, and Spark. Oversee core data modeling and schema design standards across relational, MPP, and NoSQL systems. Ensure data quality, observability, and governance frameworks are implemented and adopted at scale. Review technical designs, influence cross-team architectural decisions, and remove obstacles for teams. Partner with Infra/Platform teams automation, and cost management. Cross-Functional Collaboration Work with Product to define requirements, shape initiatives, and ensure engineering efforts align with business outcomes. Serve as a senior technical escalation point during production incidents and drive long-term solutions. Build trusted relationships across Data Science, GTM, and customer-facing teams to ensure data products meet customer needs. What you bring to Komodo Health (required): 10+ years of experience in data engineering, distributed systems, or data platform development, with 4+ years leading engineering managers or multiple teams. Proven track record building large-scale data platforms and distributed processing pipelines using Python, SQL, Airflow, and technologies such as Snowflake, Spark, or similar. Deep technical expertise in data modeling, schema design, and building enterprise-grade data products. Experience driving multi-team architectural decisions and implementing long-term technical strategy. Strong leadership abilities, with experience hiring, coaching, and mentoring technical talent. Demonstrated ability to communicate complex technical concepts to executives and cross-functional partners. Expectations of AI Use in this role (required): Judgement & Creativity: Applies AI strategically, knowing how to use the right tools at the right time to solve problems or generate new ideas. Uses AI to accelerate feedback loops, test ideas, and make informed decisions faster. Applies both judgment and creativity when working with AI and understands its limitations. Curiosity & Initiative: Demonstrates curiosity and initiative in exploring new AI tools and workflows relevant to their role. Has developed or shared AI-enhanced workflows, automations, or prompts with others. Integration & Productivity: Brings a reflexive AI mindset and uses AI as a natural part of their process to iterate, research, and deliver better work. Comfortable working in AI-enhanced environments across writing, data analysis, content creation, or design. Regularly leverages AI tools such as Notion AI, Perplexity, Claude, Descript, Runway, Midjourney, or Microsoft Copilot i.e. to improve speed, clarity, or creative output. #LI-Remote The pay range for each job posting reflects a minimum and maximum range of annual base pay that we reasonably expect to pay for this position within the US. We carefully consider multiple business-related factors when determining compensation, including job-related skills, work experience, geographic work location, relevant training and certifications, business needs and market demands. The starting annual base pay for this role is listed below. This position may be eligible for performance-based bonuses as determined in the Company’s sole discretion and in accordance with a written agreement or plan. This role may also be eligible for equity awards. In addition, this role is eligible for benefits including, but not limited to, comprehensive health, dental, and vision insurance; flexible time off and holidays; 401(k) with company match; disability insurance and life insurance; and leaves of absence in accordance with applicable state and local laws and regulations and company policy. San Francisco Bay Area and New York City: $219,000—$285,000 USD All Other US Locations: $190,000—$245,000 USD Komodo's AI Standard At Komodo, we're not just witnessing the AI revolution – we're leading it. This is a pivotal moment in time, where being first to market with AI transforms industries and sets the bar. We've already established industry leadership in leveraging AI to revolutionize healthcare, and we expect every team member to contribute. AI here isn't optional; it's foundational. We expect you to integrate AI into your daily work – from summarizing documents to automating workflows and uncovering insights. This isn't just about efficiency; it's about making every moment more meaningful, building on trust in AI, and driving our collective success. Join us in shaping the future of healthcare intelligence. Where You’ll Work Komodo Health has a hybrid work model; we recognize the power of choice and importance of flexibility for the well-being of both our company and our individual Dragons. Roles may be completely remote based anywhere in the country listed, remote but based in a specific region, or local (commuting distance) to one of our hubs in San Francisco, New York City, or Chicago with remote work options. What We Offer Positions may be eligible for company benefits in accordance with Company policy. We offer a competitive total rewards package including medical, dental and vision coverage along with a broad range of supplemental benefits including 401k Retirement Plan, prepaid legal assistance, and more. We also offer paid time off for vacation, sickness, holiday, and bereavement. We are pleased to be able to provide 100% company-paid life insurance and long-term disability insurance. This information is intended to be a general overview and may be modified by the Company due to business-related factors. Equal Opportunity Statement Komodo Health provides equal employment opportunities to all applicants and employees. We prohibit discrimination and harassment of any type with regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

Responsibilities

Lead engineering teams responsible for architecting and scaling Komodo’s foundational data platform and data product pipelines. Set the technical vision and drive execution across multiple teams to deliver scalable data products that generate meaningful business value.