Staff Data Platform Architect, Komodo Health
Reliability & AI Readiness
$196-265k
Salary varies depending on location
Comprehensive patient journey data
Be an early applicant
Comprehensive patient journey data
501-1000 employees
Be an early applicant
$196-265k
Salary varies depending on location
501-1000 employees
Company mission
To reduce the burden of disease.
Role
Who you are
- Leadership Presence: Proven ability to create, articulate, and successfully sell a strategic technical vision to senior executive and diverse technical audiences
- High Initiative: Demonstrated history of taking complex, ambiguous problems and independently driving them to concrete, measurable solutions
- Persistence: The mental resilience and conviction necessary to pursue goals despite initial pushback or organizational inertia
- Experience: 12+ years of cumulative experience in Data Engineering, Data Architecture, or Platform Engineering, with a strong, dedicated focus on enterprise data quality/governance/testing
- Strategic DQM Focus: 5+ years of experience leading or designing enterprise-wide, multi-team data quality frameworks, not just building individual checks
- Technical Deep Dive: Expert-level proficiency in SQL and Python for efficient and complex data manipulation, engineering, and testing
- Platform Expertise: Extensive experience designing and developing with distributed data processing platforms like Spark and pipeline orchestration tools like Airflow
- Data Environments: Deep knowledge of modern cloud data warehousing environments (ideally Snowflake on AWS or similar MPP systems) and robust data modeling practices
- AI Context: Practical experience ensuring data is prepared and validated for AI/ML model consumption
What the job involves
- We are not looking for a traditional Staff Data Architect. We are seeking a technical expert with business acumen to bring a clear perspective to guide the definition, creation, and adoption of the future of data quality across Komodo Health, a Staff Data Platform Architect (Reliability & AI Readiness)
- This role will be a catalyst for enterprise transformation, replacing fragmented quality metrics with a single, implementable standard: Data Reliability. You will be empowered to take the strategic vision of the leadership team, prototype it, advocate for it, and drive its adoption across engineering, product, and data science teams
- The Staff Data Platform Architect (Reliability & AI Readiness) will own the execution and organizational adoption of three critical enterprise initiatives:
- Redefine the North Star: Lead the conceptual shift from general "data quality" to Data Reliability across the entire organization (is the correct data present at the correct place at the correct time)
- Build the Source of Truth: Design, prototype, and champion a single, centralized "Data Reliability Source of Truth" platform to measure and display reliability KPIs at every key stage of the data delivery pipeline
- Automate Frameworks: Create the technical framework and reference architecture necessary to automate the creation, deployment, and monitoring of Data Reliability checks throughout the product development lifecycle
- Strategic Thought Leadership & Conviction (60% Focus: Strategy, Evangelism & Alignment)
- Strategic Partnership: Serve as a strategic thought partner to the Head of Data Quality on all matters related to enterprise data reliability and quality assurance architecture
- Vision Execution & Prototyping: Rapidly translate executive vision into tangible prototypes (e.g., proof-of-concept dashboards, reference pipeline code) and scalable technical roadmaps
- Executive Evangelism & Buy-in: Act as the Chief Evangelist for the Data Reliability metric, tirelessly building conviction across executive, product, and engineering leadership, presenting a clear perspective with conviction
- Organizational Adoption: Develop and lead change management programs to ensure seamless adoption of the new Data Reliability standard and Source of Truth platform by development teams
- Progress Tracking & Reporting: Define the OKRs and KPIs for the Data Reliability initiative and proactively create and deliver executive-level updates on progress, challenges, and ROI
- Best Practices Evangelist: Formalize, package, and teach "best of the best" architectural and coding approaches for Data Reliability engineering to engineering teams organization-wide
- Execution, Architecture & Technical Frameworks (40% Focus: Building & Infrastructure)
- Architectural Ownership: Design the end-to-end architecture for the centralized "Data Reliability Source of Truth," ensuring it is highly scalable, performant, and consumable via APIs/dashboards
- Framework Development: Build and implement highly repeatable, configurable technical frameworks (using Python/SQL/Spark) to automate the deployment of Data Reliability checks into CI/CD pipelines and data transformation jobs
- Data Modeling: Drive the modeling and schema design of the core reliability tables, ensuring data from disparate data stages (raw, curated, derived) can be standardized and measured effectively
- AI/ML Alignment: Ensure that the defined Data Reliability metrics are explicitly fit-for-purpose for our AI/ML models, providing the assurance needed for feature engineering and model deployment
- Mentorship & Coaching: Provide technical coaching to existing Data Quality Engineers on advanced techniques required for building enterprise-scale reliability frameworks
- This is an individual contributor role
Our take
Komodo Health's Healthcare Map tracks the healthcare journeys of over 330M patients, giving providers, pharma companies, and researchers the tools to identify opportunities for care, track treatment outcomes, and uncover patterns in patient and drug behavior.
The platform tackles the fragmentation of healthcare, helping organizations act on reliable, real-world intelligence instead of incomplete or siloed date.
The company's been making some big moves recently too, with the launch of its healthcare-native AI engine Marmot™ and partnering with Anervea.ai to bring Ai directly into clinical development. With these innovations and strategic partnerships, Komodo is in a really good spot to lead the future of AI-driven healthcare intelligence.
Freddie
Company Specialist at Welcome to the Jungle
Insights
-4% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Dec 2022
$200m
LATE VC
Mar 2021
$220m
SERIES E
Total funding: $514m
Company HQ
Midtown Manhattan, New York, NY
Leadership
Arif Nathoo
(Co-Founder & CEO)Studied Medicine at Harvard. Former Associate Principal at McKinsey & Co for 7 years. Became a Senior Advisor for 2 years.
Web Sun
(Co-Founder & President)Previously worked in Sales and Marketing at Merck&Co. VP of Business Development at Campbell Alliance.
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