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5 дней назад

Senior Technical Product Manager (Remote US)

Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Technical Product Manager (Data Ingestion and MDM): Driving the transformation of high-throughput healthcare data ingestion, management, and remediation platforms with an accent on Apache Spark, Databricks, Medallion Lakehouse Architecture, and FHIR-native master data management. Focus on designing scalable streaming and batch pipelines, Golden Patient Record matching, exception workflows, and idempotent data replay mechanisms.

Location: Remote US

Company

hirify.global provides a health data platform and data management solutions used in more than 20 countries.

What you will do

  • Define the product vision and roadmap for scalable data ingestion microservices and decoupled architectures.
  • Productize event-driven and streaming pipelines using technologies such as Kafka and Spark Structured Streaming.
  • Define requirements for Databricks and Medallion Architecture analytics pipelines, including Silver and Gold datasets based on Delta Lake and Parquet.
  • Own product requirements for FHIR-native Master Data Management, deterministic and probabilistic patient matching, survivorship logic, and Golden Patient Records.
  • Build exception-management workflows covering dead-letter queues, data steward interfaces, record merges and unmerges, and structured error reporting.
  • Define idempotent replay mechanisms for corrected payloads and collaborate with engineering architects on latency, scalability, and processing cost.

Requirements

  • 5+ years of technical product management experience with backend data platforms, distributed data products, or big-data ingestion systems.
  • Hands-on knowledge of distributed computing and experience productizing Apache Spark batch or streaming solutions.
  • Deep familiarity with Databricks, Medallion Architecture, Delta Lake, and Parquet performance patterns.
  • Experience optimizing nested and hierarchical data for OLAP and columnar analytical engines.
  • Experience with Master Data Management, entity resolution, identity matching, event-driven architectures, dead-letter queues, and data remediation workflows.
  • Ability to write and execute SQL and Python to analyze datasets, validate engine output, and define logic rules.

Nice to have

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

Culture & Benefits

  • Remote work arrangement for the US.
  • Health data products focused on improving global health outcomes.

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