Senior Data Architect

Summary

Join Natera, a global leader in cell-free DNA testing, as a Senior Solutions Architect. You will play a key role in designing and implementing scalable solutions bridging business needs and technical capabilities. Responsibilities include solution design and integration, data warehousing and ETL processes, infrastructure planning and maintenance, and AIOps/MLOps expertise. You will collaborate with cross-functional teams and leverage cloud-native tools. The position requires a Bachelor's or Master's degree, 15+ years of experience, strong analytical skills, and excellent communication. Natera offers a competitive compensation package and comprehensive benefits.

Requirements

• Proficiency in programming languages (e.g., Python, SQL)
• Deep understanding of cloud services (AWS, GCP) and data storage solutions (e.g., S3, BigQuery)
• Familiarity with data modeling, data lakes, and data governance
• Experience with data visualization tools (e.g., Tableau, Power BI)
• Proficiency in programming languages (e.g., Python, R, Scala)
• Deep understanding of cloud services (AWS, GCP) and containerization (Docker, Kubernetes)
• Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch)
• Experience with CI/CD pipelines and version control (Git)
• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
• Minimum 15 years of experience in data architecture, solution design, or related roles
• Strong analytical and problem-solving skills
• Excellent communication and collaboration abilities
• Proven track record in AIOps and MLOps implementation

Responsibilities

• Collaborate with cross-functional teams (including data scientists, engineers, and business stakeholders) to understand project requirements
• Translate business needs into strategic architecture solutions, ensuring alignment with industry regulations and best practices
• Integrate cloud-native tools from major hyperscalers (e.g., AWS, GCP) and machine learning frameworks
• Design and develop data warehouses and data marts
• Create ETL processes for data integration and transformation
• Ensure data quality and integrity
• Plan, provide, and maintain infrastructure for data storage, processing, and analytics
• Enable efficient data pipelines and real-time data processing
• Implement security measures for data protection
• Implement best practices from Software Engineering, DevOps, MLOps, and LLMOps
• Drive automation and orchestration of AI/ML operations
• Optimize model deployment, monitoring, and maintenance processes

Benefits

• Comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents
• Free testing in addition to fertility care benefits
• Pregnancy and baby bonding leave
• 401k benefits
• Commuter benefits
• Generous employee referral program