Data Architect

🕒 April 28

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

New Era Technology

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🔒 Cybersecurity

📡 Telecommunications

🏢 Enterprise

Cybersecurity • Telecommunications • Enterprise

New Era Technology is a global technology solutions provider offering a wide range of services and solutions, including cloud services, professional and managed services, cybersecurity, collaboration and unified communications, data networking, digital transformation, and physical security. With a team of engineers, designers, installers, and technicians, New Era Technology collaborates with over 20,000 customers and operates through 80+ offices worldwide. They are recognized as a top integrator for AV and video collaboration and offer industry-specific solutions for sectors such as healthcare, education, government, banking, finance, and retail. New Era Technology aims to help businesses adapt to the rapidly changing digital landscape through innovative technology solutions and customized services.

📋 Description

• 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)

🎯 Requirements

• 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)

🏖️ Benefits

• Continuous training • Competitive benefits