Technical Product Manager scaling Caseware's fintech cloud platform services. Defining APIs, integrations, and data capabilities with engineering and product teams.
About the role
- Senior Technical Product Manager transforming Smile Digital Health’s FHIR-based healthcare data platform. Owning Spark/Databricks ingestion, MDM, Golden Patient Records, and data remediation roadmaps.
Responsibilities
- 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
Requirements
- 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
Benefits
- 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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