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 Quality is at the heart of everything that Komodo Health does, underpinning our vision to reduce the global impact of disease. As Komodo scales its leading Healthcare Map® and AI-driven applications, the need for a unified, measurable standard of trust is paramount. 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. Looking back on your first 12 months at Komodo Health, you will have accomplished… 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. These are the essential job duties you will be responsible for… 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. What You Bring to Komodo Health The "Evangelist" Mindset & Conviction: - 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. Technical Mastery & Strategic Experience: - 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. **This is an individual contributor role. #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: $225,000—$265,000 USD All Other US Locations: $196,000—$230,000 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 with hubs in San Francisco, New York City, and Chicago. Roles vary — some can be performed from anywhere in the country, others are scoped to a specific region, and some are based near one of our hubs. For hub-based Dragons, we're building intentional in-office rhythms alongside the flexibility that's core to how we work. Whatever your setup, expectations will always be clear before you join. 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. By submitting your application, you acknowledge that you have read and understand Komodo Health’s Privacy Notice for Employees and Contractors. This notice explains how we collect, use, and retain applicant data.

• Develop, test, and roll out AI agents in Salesforce to support sales and order processing functions. • Using Boomi, assist in the development of integrations between key business systems. • Data engineering automation: Work with the team to develop a tool that syncs product catalogs and pricebooks between the ERP and CRM. • Support the activities of all IT teams with data engineering expertise.

Why UKG At UKG, the work you do matters. The code you ship, the decisions you make, and the care you show a customer all add up to real impact. Today, tens of millions of workers start and end their days with our workforce operating platform. Helping people get paid, grow in their careers, and shape the future of their industries. That’s what we do. We never stop learning. We never stop challenging the norm. We push for better, and we celebrate the wins along the way. Here, you’ll get flexibility that’s real, benefits you can count on, and a team that succeeds together. Because at UKG, your work matters—and so do you. About the Role As a Senior Principal Data Engineer within the Enterprise Data & Analytics Office, you will lead the design, evolution, and operational excellence of Nexus, UKG’s unified, GCP-based data platform, enabling analytics, AI, and enterprise decision-making at scale. You will translate architectural vision into reliable, scalable, cost-efficient data systems, lead platform modernization efforts, and set the engineering bar for data ingestion, transformation, and operational analytics across UKG. Key Responsibilities: Enterprise Data Engineering Leadership • Drive the implementation of standardized medallion architecture (Bronze–Silver–Gold) across all domains. • Establish and enforce engineering patterns for batch, streaming, CDC, and event-driven pipelines. • Drive design patterns for Fact and Dimension modeling, data mesh, and change data capture (CDC). Platform & Pipeline Excellence • Design and evolve scalable data pipelines using GCP-native services (BigQuery, GCS, Composer, Pub/Sub, Dataflow) and Databricks (Delta Lake, DLT). • Ensure platform reliability, performance, and scalability for petabyte-scale analytics workloads. • Lead engineering decisions around partitioning, clustering, query optimization, and cost controls (FinOps). • Own observability standards (freshness, SLAs, error handling, monitoring). Engineering Standards, Quality & Governance • Define and enforce engineering standards for data quality, testing, CI/CD, and production readiness. • Implement automated data quality frameworks, lineage, and metadata integration in partnership with Data Governance and Architecture teams. • Ensure all pipelines meet SOX, security, and auditability requirements. • Partner with Architects to ensure engineering implementations align to enterprise reference architectures. Cross-Functional Delivery & Influence • Partner with Product Managers, Product Owners, Architects, and Analytics leaders to deliver high-impact data capabilities. • Act as the technical escalation point for complex production issues and platform risks. • Influence roadmap decisions by balancing technical feasibility, delivery velocity, and long-term sustainability. • Support ESE Agile delivery by enabling architecture runway and reducing technical blockers. Mentorship & Organizational Impact • Mentor Principal, Senior, and Mid-level Data Engineers, raising the overall engineering maturity of the organization. • Lead by example through design reviews, code reviews, and engineering forums. • Build reusable frameworks, libraries, and accelerators that scale engineering productivity. • Foster a culture of ownership, quality, and continuous improvement. Basic Qualifications: • 15+ years of experience in data engineering, data platforms, or large-scale analytics systems. • Proven leadership delivering enterprise-scale data platforms and migrations. • Deep hands-on experience large (Petabyte) scale operating data platforms . Technical Expertise • GCP (required): BigQuery, GCS, Cloud Composer, Pub/Sub, Dataflow, Dataform, Dataproc, Dataplex • Databricks: Delta Lake, Delta Live Tables, Spark, Unity Catalog • Strong proficiency in Python, SQL, Spark, and distributed systems • Expertise in data modeling, ELT patterns, CDC, and streaming architectures • Experience supporting AI/ML pipelines, feature stores, and analytics consumption • Strong understanding of Dimensional Modeling, ELT and modern data lakehouse patterns. Leadership & Collaboration • Proven ability to influence without authority across engineering, product, and architecture teams. • Strong communication skills with both technical and executive audiences. • Track record of mentoring senior engineers and leading complex initiatives. Preferred Qualifications: • Experience modernizing legacy warehouses and ETL platforms. • Familiarity with Data Mesh execution and domain-aligned data products. • Experience implementing FinOps practices for analytics platforms. • Exposure to AI/ML enablement, feature engineering, or agent-driven analytics. • Google Cloud certifications (Data Engineer, Architect) preferred Company Overview: UKG is the Workforce Operating Platform that puts workforce understanding to work. With the world's largest collection of workforce insights, and people-first AI, our ability to reveal unseen ways to build trust, amplify productivity, and empower talent, is unmatched. It's this expertise that equips our customers with the intelligence to solve any challenge in any industry — because great organizations know their workforce is their competitive edge. Learn more at ukg.com. Equal Opportunity Employer UKG is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, disability, religion, sex, age, national origin, veteran status, genetic information, and other legally protected categories. View The EEO Know Your Rights poster UKG participates in E-Verify. View the E-Verify posters here. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Disability Accommodation in the Application and Interview Process For individuals with disabilities that need additional assistance at any point in the application and interview process, please email UKGCareers@ukg.com. The pay range for this position is $184300 to $230,000. The actual base pay offered may vary depending on skills, experience, job-related knowledge and work location. In addition to base pay, employees may be eligible to participate in a performance-based bonus plan and to receive restricted stock unit awards as part of total compensation. Learn more about UKG’s benefits and rewards at https://www.ukg.com/about-us/careers/benefits

• Проєктування цільової архітектури: розробка моделей даних та вимог до їхнього опису • Побудова карт потоків даних від систем-джерел до звітності, щоб забезпечити повну прозорість походження даних • Проводити профілювання даних та аналіз вихідної системи • Формулювання чітких висновків для підтримки кінцевого використання даних • Використовувати репозиторії метаданих для виконання аналізу впливу інтеграції даних та систем • Приймати участь у визначенні принципів обміну даними (ETL/ELT, Kafka, REST API) з фокусом на цілісність даних • Участь у впровадженні Data Quality Management (DQM): правила, моніторинг, контроль • Приймати участь у впровадженні контролів Data Governance у бізнес-процеси та системи • Ідентифікація ризиків, пов’язаних з даними, розробка та контроль плані мінімізації • Впровадження KPI та OKR для Data Governance програми • Комунікація результатів ключовим стейкхолдерам