Data Architect

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