Manager, Platform Data Architecture

Job not on LinkedIn

🔥 17 minutes ago

🌲 North Carolina – Remote

🌲 North Carolina – Remote

💵 $110k - $150k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🚰 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

• Manage and mentor a team of data developers, fostering technical excellence and professional growth • Define and enforce data architecture standards, best practices, and governance frameworks • Partner with business stakeholders, IT leadership, and product teams to translate business requirements into scalable data solutions • Ensure data quality, security, privacy, and compliance with regulatory standards (e.g., GDPR, HIPAA as applicable) • Develop and maintain data engineering architecture documentation, including design specifications, data flow diagrams, and interface guidelines • Monitor and troubleshoot data engineering processes, identifying and resolving issues to ensure reliable and efficient data flow • Provide regular updates and reports to senior management on data engineering projects, status, risks, and opportunities

🎯 Requirements

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field (Advanced degree preferred) • Previous data architecture or data engineering experience (comparable to 8+ years’ experience) • 2+ years of experience managing technical teams • 5+ years of hands-on experience with DBT/Python, Talend and Snowflake/Databricks in production environment • Solid SQL and understanding of database technologies like Snowflake, Databricks • Strong experience with cloud platforms (AWS, Azure, or GCP) • Expertise in data modeling, database design (SQL/NoSQL), and data integration frameworks • Experience with big data technologies (e.g., Spark, Hadoop, Kafka) • Solid understanding of data governance, data quality, and security best practices • Demonstrated leadership abilities with a focus on team development

🏖️ Benefits

• Health insurance • 401(k) matching • Flexible working hours • Paid time off • Professional development