Senior Technical Product Manager

Posted Aug 13

This is a fully remote position, open to applicants in Canada.

📋 Description

• Spearhead the product vision and roadmap to separate core data ingestion modules from operational API boundaries into scalable, independent microservices.

• Transform event-driven and streaming ingestion pipelines using technologies like Kafka and Spark Structured Streaming.

• Establish API contracts, event interfaces, and integration specifications for HL7 v2, C-CDA, FHIR JSON, and claims payloads.

• Outline requirements for migrating analytics pipelines to Databricks/Medallion Architecture utilizing Apache Spark.

• Propel optimized Silver and Gold layer datasets with Delta Lake/Parquet columnar models.

• Strike a balance between real-time low-latency micro-batches and cost-effective daily batch workloads.

• Take ownership of product requirements for the FHIR-native Master Data Management Engine.

• Define both deterministic and probabilistic patient matching rules and survivorship logic for Golden Records.

• Design crosswalk management for source-to-target entity linkages.

• Develop exception lifecycles from Dead-Letter Queues to structured error reporting.

• Specify Data Steward interfaces and APIs for reviewing exceptions, merging/unmerging records, and correcting payloads.

• Architect idempotent replay mechanisms for corrected payloads.


⛳️ Requirements

• Over 5 years of Technical Product Management experience leading intricate backend data platforms, distributed data engineering products, or big-data ingestion systems.

• Demonstrated experience in productizing solutions driven by Apache Spark and distributed data processing frameworks.

• Extensive knowledge of Databricks/Lakehouse and Medallion Architecture (Bronze/Silver/Gold).

• Experience with Delta Lake/Parquet performance patterns.

• Proficient in optimizing nested arrays and hierarchical data for OLAP query engines.

• Direct involvement with Master Data Management, entity resolution, or identity matching tools.

• Experience with event-driven architectures, Dead-Letter Queues, and data replay/remediation workflows.

• Capability to write and execute SQL and Python for dataset analysis, engine output validation, and logic rule definition.

• Nice to have: knowledge of healthcare data standards including HL7 FHIR, C-CDA, or HL7 v2.

• Nice to have: familiarity with healthcare terminologies such as SNOMED CT, LOINC, RxNorm, and ICD-10.

• Nice to have: understanding of 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 coverage.

• Employee Assistance Program.

• FHIR Study Program and Skillsoft Learning.

• Super HAPI Fun Club.

• Commitment to diversity, equity, and inclusion in the workplace.

• Interview and workplace accommodations provided.

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