Senior Technical Product Manager ( Remote Canada)

1. Data Ingress & Decoupled Architecture

• Lead the product vision and roadmap to decouple core data ingestion modules from operational API boundaries turning them into highly scalable standalone micro-services.
• Productize event-driven and streaming ingestion pipelines (e.g. Kafka/Spark Structured Streaming) capable of processing billions of high-velocity records.
• Establish clear API contracts event interfaces and integration specs for external sources feeding raw payloads (HL7 v2 C-CDA FHIR JSON Claims) into our platform.

2. Big Data & Medallion Analytics Strategy

• Define requirements for transitioning mass analytics pipelines onto a Databricks / Medallion Architecture using Apache Spark.
• Drive the design of optimized Silver and Gold layer datasets ensuring deeply nested JSON formats (e.g. FHIR) are efficiently flattened and structured into high-performance columnar models (Delta Lake/Parquet) for OLAP analytics.
• Partner with engineering architects to balance real-time low-latency micro-batches against cost-optimized high-throughput daily batch workloads.

3. Master Data Management (MDM) & Identity Resolution

• Own the product requirements for our FHIR-native MDM Engine defining rules for deterministic and probabilistic patient matching at scale.
• Productize Survivorship Logic to establish rules for creating and maintaining the Golden Record across fragmented data feeds.
• Design crosswalk management capabilities to track source-to-target entity linkages across millions of patient lives.

4. Error Remediation & Exception Management

• Build out the end-to-end exception lifecycle for data validation failuresfrom isolation in Dead-Letter Queues (DLQs) to structured error reporting.
• Define requirements for Data Steward interfaces and APIs allowing users to review validation exceptions perform manual record merges/unmerges and correct bad data payloads.
• Architect Idempotent Replay Mechanisms to re-ingest corrected payloads through Spark processing pipelines without generating duplicate data or corrupting state.

• 5 years of Technical Product Management experience leading complex backend data platforms distributed data engineering products or big-data ingestion systems.
• Hands-on Distributed Computing Knowledge: Proven track record productizing solutions powered by Apache Spark (batch or streaming) and distributed data processing frameworks.
• Databricks / Lakehouse Expertise: Deep familiarity with Medallion Architecture (Bronze/Silver/Gold) and Delta Lake/Parquet performance patterns.
• OLAP / Columnar Strategy Mindset: Demonstrated experience optimizing complex highly nested arrays and hierarchical data structures for analytical query engines.
• Identity & Governance: Direct experience productizing Master Data Management (MDM) entity resolution or identity matching tools.
• Fault-Tolerant Systems: Experience with event-driven architectures Dead-Letter Queues (DLQs) and data replay/remediation workflows.
• Technical Proficiency: Ability to comfortably write and execute SQL and Python to analyze raw datasets validate engine output and define logic rules

• Experience with healthcare data standards including HL7 FHIR C-CDA or HL7 v2.
• Exposure to healthcare terminologies (SNOMED CT LOINC RxNorm ICD-10).
• Familiarity with SQL-on-FHIR analytics standards.