
201 - 500 employees
Founded 2016
💼 Consulting
📦 Logistics
📣 Marketing
💰 $30M Series B on 2023-01
Consulting • Logistics • Marketing
Smile Digital Health is a company specializing in healthcare data interoperability and health IT solutions. Their Smile Health Data Platform enables efficient data ingestion and transformation into FHIR resources, enhancing clinical decision-making and business intelligence. Focused on compliance and security, Smile Digital Health offers services such as prior authorization automation, standardizing data exchange, and supporting healthcare providers, payers, and health information exchanges with customizable and scalable solutions.
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201 - 500 employees
Founded 2016
💼 Consulting
📦 Logistics
📣 Marketing
💰 $30M Series B on 2023-01
Consulting • Logistics • Marketing
Smile Digital Health is a company specializing in healthcare data interoperability and health IT solutions. Their Smile Health Data Platform enables efficient data ingestion and transformation into FHIR resources, enhancing clinical decision-making and business intelligence. Focused on compliance and security, Smile Digital Health offers services such as prior authorization automation, standardizing data exchange, and supporting healthcare providers, payers, and health information exchanges with customizable and scalable solutions.
• Lead the product vision and roadmap to decouple core data ingestion modules from operational API boundaries into scalable standalone microservices • Productize event-driven and streaming ingestion pipelines using technologies such as Kafka and Spark Structured Streaming • Establish API contracts, event interfaces, and integration specifications for HL7 v2, C-CDA, FHIR JSON, and claims payloads • Define requirements for transitioning analytics pipelines to Databricks/Medallion Architecture using Apache Spark • Drive optimized Silver and Gold layer datasets using Delta Lake/Parquet columnar models • Balance real-time low-latency micro-batches with cost-optimized daily batch workloads • Own product requirements for the FHIR-native Master Data Management Engine • Define deterministic and probabilistic patient matching rules and survivorship logic for Golden Records • Design crosswalk management for source-to-target entity linkages • Build exception lifecycles from Dead-Letter Queues to structured error reporting • Define Data Steward interfaces and APIs for reviewing exceptions, merging/unmerging records, and correcting payloads • Architect idempotent replay mechanisms for corrected payloads
• 5+ years of Technical Product Management experience leading complex backend data platforms, distributed data engineering products, or big-data ingestion systems • Proven experience productizing solutions powered by Apache Spark and distributed data processing frameworks • Deep familiarity with Databricks/Lakehouse and Medallion Architecture (Bronze/Silver/Gold) • Experience with Delta Lake/Parquet performance patterns • Experience optimizing nested arrays and hierarchical data for OLAP query engines • Direct experience with Master Data Management, entity resolution, or identity matching tools • Experience with event-driven architectures, Dead-Letter Queues, and data replay/remediation workflows • Ability to write and execute SQL and Python to analyze datasets, validate engine output, and define logic rules • Nice to have: healthcare data standards including HL7 FHIR, C-CDA, or HL7 v2 • Nice to have: healthcare terminologies including SNOMED CT, LOINC, RxNorm, and ICD-10 • Nice to have: familiarity with SQL-on-FHIR analytics standards
• Remote Work Environment • Flexible Time Away From Work Policy including PTO, Personal and Sick Days • Competitive Salary and Health/Medical Benefits • RRSP/TFSA/401K Employee Contribution • Life and Disability • Employee Assistance Program • FHIR Study Program and Skillsoft Learning • Super HAPI Fun Club • Workplace values diversity, equity, and inclusion • Interview and workplace accommodations
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