Data Architect

Join New Era Technology, where People First is at the heart of everything we do. With a global team of over 3,000 professionals, we’re committed to creating a workplace where everyone feels valued, empowered, and inspired to grow. Our mission is to securely connect people, places, and information with end-to-end technology solutions at scale.

At New Era, you’ll join a team-oriented culture that prioritizes your personal and professional development. Work alongside industry-certified experts, access continuous training, and enjoy competitive benefits. Guided by our core attributes — putting people first, embracing continuous learning, and thriving through collaboration and inclusion — we nurture our people to deliver exceptional customer service.

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.

• Design and implement enterprise data architectureleveraging Snowflake for structured and unstructured data
• Develop scalable data models, data lakes, and data warehousesto 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 traceabilityaligned 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)

• 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)

• Knowledge of medical device data standard sand 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 (Snow Pro Core, Snow Pro Advanced)
• Experience with streaming data platforms(Kafka, Event Hubs)

• 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

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