Senior Data Engineer, Snowflake, AWS

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FUJIFILM Corporation

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1934

🏭 Manufacturing

🏥 Healthcare

Manufacturing • Healthcare • Electronics

FUJIFILM Corporation is a global company established in 1934, operating in diverse fields including healthcare, electronics, and imaging. As a total healthcare company, FUJIFILM develops a wide range of businesses in prevention, diagnosis, and treatment. Additionally, the company focuses on environmental sustainability through improved industrial efficiency, while also capturing and preserving memories through film and photography, enriching emotional lives and human connections.

📋 Description

• Design, build, and maintain enterprise-scale data pipelines on the Snowflake Data Platform • Design, build, and maintain cloud-native AI/ML solutions using AWS and Azure • Implement data quality, observability, lineage, and governance best practices • Integrate biotech systems including MES, LIMS, SCADA, ERP, and QMS into a centralized data platform • Collaborate with product managers, product engineers, platform architects, and business stakeholders • Support AI capabilities including model deployment, monitoring, and data readiness • Optimize data-platform performance, scalability, and cost efficiency • Partner with cybersecurity and compliance teams to meet GxP, FDA 21 CFR Part 11, and data privacy requirements • Promote CI/CD, testing, documentation, and peer-review practices • Evaluate and introduce innovations such as data mesh, real-time streaming, digital twins, and generative AI platforms • Support all FUJIFILM Biotechnologies sites globally

🎯 Requirements

• Bachelor's degree in Computer Science, Data Engineering, AI/ML Engineering, or related field • 7+ years of professional experience in data engineering, AI/ML engineering, or cloud platform engineering • Hands-on experience designing and developing Snowflake data solutions, including data modeling, performance optimization, and cost-efficient usage • Experience building and maintaining data pipelines with modern frameworks such as Airflow and dbt • Experience with Airflow or a similar orchestration tool • Experience with Docker and Kubernetes for container orchestration, monitoring, and lifecycle management • Experience with modern AI technologies including LLMs, embeddings, and vector databases • Strong SQL skills and data modeling experience for analytics and AI use cases • Strong experience with AWS and Azure • Proven experience delivering production-grade data solutions • Familiarity with biotech or life sciences systems and regulatory frameworks including GxP, FDA, and EMA • Proficiency in Python and SQL/dbt • Knowledge of scalable batch and streaming data pipelines • Knowledge of data quality management, observability, lineage, and governance • Knowledge of biotech IT/OT systems including MES, LIMS, and SCADA • Strong problem-solving, optimization, and troubleshooting skills for large-scale data systems • Effective communication with technical and non-technical stakeholders • Knowledge of Docker containerization and Kubernetes workload operation

🏖️ Benefits

• Medical, dental, vision and prescription drug coverage • Health Savings Account option with company contributions • Industry-leading 401(k) savings plan • Insurance coverage • Employee assistance programs • Various wellness incentives • Paid vacation time • Paid sick time • Company holidays • Supportive environment focused on personal and professional growth • Benefits and compensation governed by the location of the employee's home site