Senior Data Engineer, Snowflake, AWS

This is a fully remote position, open to applicants in United States.

📋 Description

• Design, create, and sustain enterprise-level data pipelines on the Snowflake Data Platform.

• Develop and maintain cloud-native AI/ML solutions utilizing AWS and Azure.

• Apply best practices for data quality, observability, lineage, and governance.

• Integrate biotechnology systems such as MES, LIMS, SCADA, ERP, and QMS into a unified data platform.

• Collaborate with product managers, product engineers, platform architects, and business stakeholders.

• Enhance AI functionalities, including model deployment, monitoring, and data readiness.

• Improve data platform performance, scalability, and cost-effectiveness.

• Work alongside cybersecurity and compliance teams to ensure adherence to GxP, FDA 21 CFR Part 11, and data privacy standards.

• Advocate for CI/CD, testing, documentation, and peer-review methodologies.

• Assess and implement innovations such as data mesh, real-time streaming, digital twins, and generative AI platforms.

• Provide support to all FUJIFILM Biotechnologies locations worldwide.

⛳️ Requirements

• Bachelor's degree in Computer Science, Data Engineering, AI/ML Engineering, or a related field.

• Over 7 years of professional experience in data engineering, AI/ML engineering, or cloud platform engineering.

• Practical experience in designing and developing Snowflake data solutions, including data modeling, performance enhancement, and cost-efficient utilization.

• Proficient in building and maintaining data pipelines using contemporary frameworks like Airflow and dbt.

• Familiarity with Airflow or a comparable orchestration tool.

• Experience utilizing Docker and Kubernetes for container orchestration, monitoring, and lifecycle management.

• Knowledge of modern AI technologies, including LLMs, embeddings, and vector databases.

• Strong SQL capabilities and data modeling expertise for analytics and AI applications.

• Extensive experience with both AWS and Azure.

• Proven track record of delivering production-quality data solutions.

• Understanding of biotechnology or life sciences systems and regulatory frameworks, including GxP, FDA, and EMA.

• Proficient in Python and SQL/dbt.

• Familiarity with scalable batch and streaming data pipelines.

• Knowledge of data quality management, observability, lineage, and governance practices.

• Understanding of biotech IT/OT systems such as MES, LIMS, and SCADA.

• Strong problem-solving, optimization, and troubleshooting abilities for large-scale data systems.

• Effective communication skills with both technical and non-technical stakeholders.

• Knowledge of Docker containerization and Kubernetes workload management.

🏝️ 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 leave.

• Company holidays.

• Supportive environment focused on personal and professional development.

• Benefits and compensation determined by the location of the employee's home site.