Description

Key Responsibilities

  • Design and implement enterprise data architecture leveraging Snowflake for structured and unstructured data
  • Develop scalable data models, data lakes, and data warehouses to support analytics, AI/ML, and reporting
  • Define and enforce data governance, security, and compliance frameworks (HIPAA, FDA, GDPR)
  • Architect data pipelines and ETL/ELT processes using modern tools (e.g., Snowpipe, dbt, Informatica, Azure Data Factory)
  • Collaborate with cross-functional teams (Engineering, Clinical, Regulatory, Quality, and Business stakeholders)
  • Ensure data integrity, lineage, and traceability aligned with medical device standards (e.g., ISO 13485, GxP)
  • Optimize Snowflake performance, cost management, and workload management
  • Support cloud data architecture (AWS, Azure, or GCP) and hybrid environments
  • Enable advanced analytics, including AI/ML and real-world evidence (RWE) use cases
  • Establish best practices for data lifecycle management (ingestion, storage, archival, and retention)

Required Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field
  • 8+ years of experience in data architecture, data engineering, or related roles
  • Strong hands-on experience with Snowflake architecture and optimization
  • Expertise in data modeling (dimensional, normalized, and data vault)
  • Experience with SQL, Python, and data pipeline orchestration tools
  • Familiarity with cloud platforms (AWS, Azure, or GCP)
  • Experience in regulated industries (medical devices, pharmaceuticals, or healthcare)

Preferred Qualifications

  • Knowledge of medical device data standards and regulatory frameworks (FDA 21 CFR Part 11, ISO 13485, IEC 62304)
  • Experience with healthcare data standards (HL7, FHIR, DICOM)
  • Exposure to clinical, imaging, or diagnostic data systems
  • Experience with data cataloging and governance tools (Collibra, Alation, Informatica)
  • Snowflake certifications (SnowPro Core, SnowPro Advanced)
  • Experience with streaming data platforms (Kafka, Event Hubs)

Key Skills
Education

Bachelor’s/Master’s degree

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