Senior Technical Product Manager

Smile Digital Health

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.

Posted 8/13/2026full-timeRemote • 🇨🇦 CanadaSenior💰 CA$120,000 - CA$145,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading product vision and roadmap for scalable data ingestion systems, with a strong focus on event-driven architectures and data processing frameworks. Proficient in defining API contracts and managing Master Data Management processes within healthcare data standards.

Highest-signal resume keywords

Technical Product ManagementApache SparkDatabricks/LakehouseMaster Data ManagementEvent-Driven Architectures

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLPythonData IngestionData Processing FrameworksDelta LakeParquetEvent InterfacesIntegration SpecificationsData Steward InterfacesDeterministic Matching Rules

Tools & Technologies

KafkaSpark Structured StreamingDead-Letter QueuesOLAP Query EnginesMedallion Architecture

Industry Keywords

HL7 FHIRC-CDAHL7 v2SNOMED CTLOINCRxNormICD-10

Tech Stack

Tools & technologies

ApacheKafkaMicroservicesPythonSparkSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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