Associate Director Data Architect

Associate Director, Data Platform Architect 

Job Summary 

The AD, Data Platform Architect will design, implement, and manage Intellia’s data platforms, ensuring data accessibility, security, availability, and reliability, while aligning with business needs and data governance policies. This is a hands-on role that includes managing the data platform build and day-to-day operational work in support of the commercial launch of NTLA 2002.  

Duties/Responsibilities 

• Develop and maintain the overall data architecture, including data models, data storage, and data processing pipelines.  

• Develop data pipelines framework and ETL workflows leveraging tools like Workato, Qlik Talend, Python, advanced SQL, AWS and GCP services. 

• Develop monitoring and observability strategies and implement them to ensure system reliability, data consistency and reporting accuracy 

• Design and implement data models to support business processes and data analysis.  

• Enforce data quality standards, data security policies, and metadata management practices.  

• Evaluate and recommend data technologies and tools to meet business needs.  

• Collaborate within IT and business teams to understand requirements and ensure data solutions meet their needs.  

• Lead migration projects to move data from legacy systems to new data platforms.  

• Maintain comprehensive documentation of the enterprise/data platform architecture and data models.  

• Promote data governance practices to ensure the integrity and privacy of enterprise and commercial data. 

• Strong problem-solving abilities and a data-driven approach to decision-making. 

• Establish best practices for data modeling, metadata management, and data cataloging 

• Ensure compliance with biopharma industry regulations (HIPAA, GxP, GDPR, etc.). 

Requirements 

Skills/Abilities 

• Expertise in Snowflake, Talend, Qlik, AWS, GCP, and modern data engineering tools. 

• Solid background in ETL, data lakes, data warehousing, and streaming architectures. 

• Experience in biopharma, life sciences, or healthcare, with knowledge of regulatory compliance is a must 

• Proficiency in SQL, Python, Spark, and cloud-native analytics services. 

• Understanding of AI/ML integration and MLOps for data-driven insights. 

• Ability to effectively facilitate meetings (e.g., status meetings, functional requirements gathering, process flow development workshops, end user training, etc.) 

• Well organized with the ability to manage/prioritize multiple concurrent projects (often with changing timelines and dependencies) in a matrix team environment. 

• Expert knowledge of Business Process Flows, Master Data Management, and systems integrations 

Education / Certifications 

• Bachelor’s degree in related technical or business discipline is required. Experience in the pharmaceuticals, or biotech industry is required. 

Experience 

• At least five to seven years related experience required. 

Physical Requirements 

• Prolonged periods of sitting at a desk and working on a computer. 

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