8+ years of experience in healthcare data, with expertise in payer and provider data ecosystems., Proficiency with healthcare data standards such as FHIR, HL7, and X12, and clinical data formats., Strong technical skills in data architecture, engineering, and data science methodologies., Leadership experience in managing technical teams and collaborating with cross-functional stakeholders..
Key responsibilities:
Design and implement scalable healthcare data architectures and pipelines.
Lead the technical strategy for healthcare data integration and interoperability.
Manage and mentor a team of data engineers, analysts, and QA engineers.
Partner with leadership to align data solutions with product and organizational goals.
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Opala is a data automation partner that makes payer-provider collaboration easier. We collect, standardize, and consolidate healthcare data to build a complete picture of patient health. Our vision is to be the most trusted source of patient insights, radically improving healthcare.
We’re Hiring! www.opala.com/careers
We're looking for passionate industry professionals to join Opala. If you want to directly impact healthcare through data and technology, we'd love to hear from you.
We are a hybrid and remote-friendly company for most positions. Please see individual job listings for requirements.
Our headquarters are in downtown Seattle, offering amazing views of the Puget Sound, Mt Rainier, and the Olympics. We're conveniently located next to major transit lines and a quick walk to Pike Place Market and the Seattle Art Museum. Complimentary perks include onsite bike storage, a beautiful gym, a fully-outfitted game room, and more.
Opala develops healthcare products that tackle the most complex data challenges faced by payers and providers. As a startup originating from a major healthcare plan in the Northwest, we combine deep health-tech expertise with top-tier data and software engineering talent to create products that our customers find meaningful and valuable. These data products empower payers and their partners to find timely insights and take action to intervene in areas like value-based care analytics, interoperability compliance, and real-time streaming of clinical data.
In this remote position, we're seeking an exceptional Director of Data to lead our data organization and drive the technical execution of our data strategy. This role requires a unique combination of deep healthcare domain expertise, advanced technical skills across the data stack, and proven leadership experience. You'll be responsible for building and scaling our data infrastructure that connects complex healthcare payer and provider systems, creating unified patient records that power our product offerings.
As a key member of our leadership team, you'll partner directly with our CTO to define and execute our data strategy, ensuring our product roadmap is supported by robust, compliant, and scalable data solutions. This is a high-impact role in a growing startup where your technical expertise and strategic thinking will directly contribute to our success.
Key Responsibilities
Technical Leadership & Architecture
Design and implement scalable data architectures that integrate healthcare payer data, health exchange data, and provider systems / EMR data into unified golden records
Lead the technical strategy for mapping diverse healthcare data sources to industry standards like HL7’s FHIR, ensuring interoperability and exchange
Architect, implement and optimize data pipelines using modern patterns within batch and real-time data integrations to our data APIs and our customer + partner data platforms
Drive technical decisions around our Databricks implementation, optimizing for development velocity, cost efficiency, and operational excellence
Establish data governance frameworks and operationalize data quality, lineage, and documentation
Guide modern and legacy data integration capabilities from SFTP, to Delta Sharing, to EMR integrations
Team Management & Development
Lead and mentor a team of data engineers, analysts, and QA engineers, fostering a culture of technical excellence and continuous learning
Recruit, hire, and develop top-tier data talent with healthcare domain expertise
Collaborate closely with product, engineering, and operations teams to ensure data solutions align with our objectives
Establish engineering processes, code review standards, and quality assurance practices for the data team
Strategic Partnership & Growth
Partner with the CTO on long-term data strategy and technology roadmap planning
Collaborate with product leadership to ensure our data strategy supports and accelerates our product strategy
Drive data-informed decision making across the organization – and our customers -through robust analytics and reporting
Required Qualifications
Healthcare Domain Expertise
8+ years of experience in healthcare data, with deep understanding of payer and provider data ecosystems
Extensive experience with healthcare data standards (FHIR, HL7, X12) and clinical data formats
Proven track record of working with EMR systems, claims data, and clinical workflows
Advanced proficiency in data architecture, data engineering, and data science methodologies
Expert-level experience with Databricks, including optimization for cost and performance
Strong background in pub/sub architectures, batch processing, and real-time data integration in the healthcare ecosystem
Proficiency in modern data stack technologies (Python, SQL, Spark, Kafka, etc.)
Experience with cloud platforms (Azure, AWS or GCP) and infrastructure as code
Familiarity with emerging technologies within AI/ML
Leadership & Communication
5+ years of experience leading technical teams, preferably in high-growth startup environments
Proven ability to recruit, develop, and retain top technical talent
Excellent communication skills with ability to translate complex technical concepts to non-technical stakeholders
Exceptional collaboration skills with cross-functional teams including product, engineering, and clinical stakeholders
Preferred Qualifications
Advanced degree in Computer Science, Engineering, Data Science, or related field
Experience with healthcare interoperability standards and organizations like Da Vinci
Previous experience at a health tech startup or healthcare technology company
Knowledge of machine learning and AI applications in healthcare
Experience building data products, federated data architectures, and customer facing platforms
Comfortable presenting and performing discovery with customers and partners
Familiarity with healthcare quality measures and value-based care models
Benefits
The Seattle base salary range for this full-time position is up to $220k. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
Benefits include medical, dental, vision, life and AD&D insurance, EAP, short-term and long-term disability, 16 days PTO, 8 paid holidays, fully paid holiday closure, parental and family medical leave, 401k, stock options and annual bonuses and salary increases based on merit.
Diversity and Inclusivity Statement
At Opala, we believe that diversity and inclusivity are critical to our success. We encourage and value diverse perspectives and experiences, and we believe that they are essential for driving innovation and creating products that meet the needs of our diverse customer base.
Opala is an equal opportunity employer and makes employment decisions on the basis of merit. We are committed to providing a workplace free from harassment and discrimination. We celebrate the unique differences of our employees because that is what drives curiosity, innovation, and the success of our business. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate. Accommodations are available for applicants with disabilities.
Required profile
Experience
Level of experience:Senior (5-10 years)
Industry :
Spoken language(s):
English
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