Senior Enterprise Data Architect

Job not on LinkedIn

🔥 13 hours ago

🌲 North Carolina – Remote

🌲 North Carolina – Remote

💵 $125k - $175k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Thermo Fisher Scientific

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1956

🏥 Healthcare

📦 Logistics

🏭 Manufacturing

Healthcare • Logistics • Manufacturing

Thermo Fisher Scientific is the world leader in serving science, with annual revenue of more than $40 billion. Their mission is to enable customers to make the world healthier, cleaner, and safer by supporting life sciences research, solving complex analytical challenges, increasing laboratory productivity, and improving patient health through diagnostics and the development of life-changing therapies. With a global team, they offer innovative technologies and pharmaceutical services through brands such as Thermo Scientific, Applied Biosystems, Invitrogen, Fisher Scientific, Unity Lab Services, Patheon, and PPD.

📋 Description

• Lead the enterprise data architecture strategy as a Senior Enterprise Data Architect and help lead the design and implementation of enterprise-wide technology and data architecture across cloud infrastructure, cybersecurity, AI/ML, automation, and data platforms. • Design enterprise-scale data and technology architecture solutions supporting clinical trials across global programs. • Develop scalable, secure architectures spanning cloud infrastructure, AI/ML, automation, cybersecurity, and enterprise data platforms. • Translate business requirements into robust architectural designs aligned with enterprise standards. • Establish architecture best practices and provide technical leadership across strategic initiatives. • Enable AI-driven clinical research by partnering with cross-functional teams and key stakeholders to deliver innovative solutions. • Influence the enterprise technology roadmap and support digital transformation initiatives. • Mentor and guide technical teams through complex architecture decisions.

🎯 Requirements

• Bachelor's degree (or equivalent combination of education and experience) in relevant field; Masters’ degree preferred. • 8+ years of experience in enterprise data or platform architecture, or equivalent experience demonstrating the required knowledge, skills, and abilities. • Enterprise data architecture, data modeling, and data mapping SQL/PLSQL and data transformation frameworks • Data modeling tools (Erwin or equivalent) • Defining and enforcing data governance and platform standards • Agile methodologies and project delivery frameworks • Databricks (preferred) or dbt.

🏖️ Benefits

• Relocation assistance is not available. • Must successfully complete a comprehensive background check, including a drug screening.