Enterprise Data Architect

We are seeking an Enterprise Data Architect to join our IT team in Emeryville, California. In this role, you will be responsible for providing architectural designs and building technology solutions for enterprise and research data management and analytics. You will also collaborate with business stakeholders to align data architecture capabilities with business strategy and goals. Additionally, you will develop and implement data governance strategies, evaluate and implement data analysis tools, and collaborate with cross-functional teams to establish best practices in data architecture and management.

• Develop an inventory of the enterprise's data and store it in the enterprise data catalog
• Define and implement enterprise information management strategies for data acquisitions, data management, and data security
• Design and develop enterprise-wide data integration strategies to enable the efficient and effective flow of data between systems
• Establish and lead data governance team to define taxonomy, master data domains, identify critical data elements, develop master data model, build data catalogs, and implement data quality rules
• Evaluate and implement enterprise data analysis and visualization tools
• Partner with IT and Business teams to drive the creation and evolution of a data-centric technology roadmap that defines current and future technical architectures
• Collaborate with data scientists, bioinformatics specialists, and IT team members to establish best practices related to data architecture and data management
• Develop and maintain technical documentation and specifications.

• Undergraduate degree in Computer Science, Management Information Systems, Engineering or a related field
• Eight years of data/database design and development, systems or applications development experience, life sciences industry strongly preferred
• At least five years experience in Enterprise Data Governance, Master Data Management, Data Privacy and Security, Machine Learning, and Data Pipeline Operations
• Technical proficiency with data architecture, data models, and database design development, as well as experience with data mining and data processing technologies
• Strong problem solving skills and ability to effectively communicate technical information to non technical stakeholders
• Highly collaborative, team-oriented, and considerate of the needs of others
• Thrives in a fast-moving, results-oriented startup environment with urgent deadlines.

• Competitive compensation including a market-benchmarked salary
• Annual target bonus
• Equity in an early-stage startup
• Comprehensive benefits plan
• 401(k) matching
• Retirement safe harbor plan
• Catered lunches and endless snacks
• Open, collegial, and friendly work environment
• Opportunities for long-term career development
• Equal-opportunity employer that values diversity and inclusion
• Work/life balance
• Weekly employee happy hour and events