About the role
Job Title: Data Architect – Snowflake (Medical Devices / Healthcare)
Mode: Contract
Duration: 6 Months (Extendable)
Work Timings: 3pm – 11.30pm IST
Mode of work: Remote-India
Overview
We are looking for an experienced Data Architect with deep expertise in Snowflake to design and manage scalable, secure, and compliant data platforms in a medical device environment. This role will support data-driven initiatives across clinical, regulatory, manufacturing, and commercial domains while ensuring adherence to healthcare regulations and data standards.
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
- Strong architectural thinking and system design skills
- Data governance and compliance mindset
- Ability to translate business needs into scalable data solutions
- Cross-functional collaboration and stakeholder management
- Performance tuning and cost optimization in Snowflake
- Problem-solving with a focus on data quality and reliability