Senior Snowflake and AWS Data Engineer
United States of America
Full Time
1 week ago
$120,000 - $198,000 USD
H1B Sponsor Likely
Key skills
SnowflakeAWSAzureData pipeline designData modellingPerformance optimizationCost-efficient data usageAirflowdbtDockerKubernetesPythonSQLData quality managementData observabilityData lineageData governanceBiotech IT/OT systemsGxP complianceFDA 21 CFR Part 11 complianceEMA complianceAI/ML engineeringLLMsEmbeddingsVector databasesAIMLGenerative AIData EngineeringAnalyticsPerformance OptimizationERPCI/CDCommunicationDecision Making
About this role
FUJIFILM Cellular Dynamics, Inc is a leading company in the biotechnology sector, seeking a Senior Data/AI Engineer to design, build, and maintain efficient data pipelines and architectures. The role involves advocating for data and AI engineering best practices while collaborating with cross-functional teams to ensure alignment with business requirements.
Responsibilities:
- Design, build, and maintain enterprise-scale data pipelines on Snowflake Data Platform
- Design, build, and maintain cloud-native AI/ML solutions (AWS, Azure) that support advanced analytics and decision making
- Implement best practices for data quality, observability, lineage, and governance
- Ensure integration of biotech systems (MES, LIMS, SCADA, ERP, QMS) into centralized data platform
- Collaborate with product managers, product engineers, platform architects, and business stakeholders to align data and AI engineering solutions with business requirements
- Support modern AI capabilities, including model deployment, monitoring, and data readiness
- Optimize data platform for performance, scalability, and cost efficiency
- Partner with cybersecurity and compliance teams to ensure adherence to GxP, FDA 21 CFR Part 11, and data privacy regulations
- Promote engineering best practices, including CI/CD, testing, documentation, and peer reviews
- Stay current with emerging technologies (data mesh, real-time streaming, digital twins, generative AI platforms) and introduce relevant innovations
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 data solutions on Snowflake, including data modelling, performance optimization, and cost-efficient usage
- Experience building and maintaining data pipelines using modern frameworks (e.g. Airflow, dbt)
- Experience with Airflow or similar orchestration tool
- Experience with Docker/Kubernetes for container orchestration, monitoring, and lifecycle management
- Experience with modern AI technologies, including LLMs, embeddings, and vector databases
- Strong SQL skills and experience with data modelling for analytics and AI use cases
- Strong experience with cloud platforms (AWS, Azure)
- Proven experience delivering production-grade data solutions
- Familiarity with biotech or life sciences systems and regulatory compliance frameworks (GxP, FDA, EMA)
- Design and implementation of scalable batch and streaming data pipelines
- Strong programming proficiency in Python and SQL/dbt for data processing, automation, and analytics
- Containerization and deployment of data and AI workloads using Docker
- Orchestration and operation of containerized workloads using Kubernetes
- Data quality management, observability, lineage, and governance
- Knowledge of biotech IT/OT systems (MES, LIMS, SCADA), and compliance frameworks (GxP, FDA, data privacy)
- Strong problem-solving, optimization, and troubleshooting skills for large-scale data systems
- Effective communication with both technical and non-technical stakeholders, influencing at senior levels
- Passion for emerging technologies, continuous improvement, and building innovative engineering cultures