Director of Data
New
O
OpalaHealthcare data
Listing locations: USA; In this remote positionFull-TimeDirector
SalaryThe Seattle base salary range for this full-time position is up to $220k.
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Job Details
- Experience
- 5+ years of experience in healthcare data; 3+ years of experience leading technical teams
- Required Skills
- PythonSQLKafkaSparkDatabricks
Requirements
- 5+ years of experience in healthcare data, with a deep understanding of payer and provider data ecosystems.
- Extensive experience with healthcare data standards including FHIR, HL7, and X12, and with clinical data formats.
- Experience with EMR systems, claims data, and clinical workflows.
- Strong understanding of healthcare regulations and requirements, including HIPAA, HITECH, FDA, and CMS.
- Advanced proficiency in data architecture, data engineering, and data science methodologies.
- Expert-level experience with Databricks, including cost and performance optimization.
- Experience with pub/sub architectures, batch processing, and real-time healthcare data integration.
- Proficiency with modern data-stack technologies including Python, SQL, Spark, and Kafka.
- Experience with cloud platforms such as Azure, AWS, or GCP, and infrastructure as code.
- 3+ years of experience leading technical teams; ability to recruit, develop, and retain technical talent.
- Advanced degree in Computer Science, Engineering, Data Science, or a related field is preferred.
- Experience with HL7 Da Vinci, healthcare technology startups, healthcare AI/ML, data products, federated data architectures, or value-based care is preferred.
Responsibilities
- Design and implement scalable architectures that integrate payer, health exchange, and provider or EMR data into unified records.
- Lead technical strategy for mapping healthcare data sources to standards such as HL7 FHIR.
- Architect, implement, and optimize batch and real-time data pipelines and integrations.
- Make technical decisions about the Databricks implementation, including cost and performance optimization.
- Establish data governance and operationalize data quality, lineage, and documentation.
- Guide data integrations including SFTP, Delta Sharing, and EMR integrations.
- Lead, mentor, recruit, and develop data engineers, analysts, and QA engineers.
- Partner with the CTO and product, engineering, and operations teams on data strategy and roadmaps.
- Establish engineering processes, code review standards, and quality assurance practices for the data team.
- Drive data-informed decisions through analytics and reporting.
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