Lead Data Architect
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Job Description
Lead Data Architect responsible for database strategy in oncology research. Focuses on data integrity and infrastructure to support clinical research and improve healthcare delivery.
Responsibilities:
- Responsible for designing, building, and managing the organization's data infrastructure
- Create the blueprint for how data is collected, stored, processed, and used, ensuring it's accessible, reliable, and secure
- Design the structure and systems that allow the organization to effectively manage and use its data
- Create and maintain documentation for database architecture, procedures, and standards
- Develop and implement a comprehensive data strategy aligned with business goals
- Design conceptual, logical, and physical data models
- Create and maintain the overall data architecture framework
- Develop and implement data mapping rules
- Design and implement processes for integrating data from various sources
- Establish data governance policies and procedures
- Evaluate and recommend data management technologies and tools
- Identify and resolve data-related issues
- Design and implement architectures that integrate AI models and algorithms
Requirements:
- Minimum of 7 years of experience in enterprise data architecture
- Bachelor’s Degree in Computer Science, Information Systems, Engineering, or equivalent experience
- Minimum 10 years of experience in database engineering/management required
- Knowledge of software development methodologies (e.g., Agile, DevOps, SDLC, CI/CD, GitHub)
- 7+ years' experience working with data sources (e.g. APIs) and databases such as Oracle, PostgreSQL, SQL Server, and cloud databases
- Knowledge of cloud technologies like Azure (Data Factory, Databricks), AWS
- Strong knowledge of industry best practices — code coverage
- Strong knowledge of database concepts, data modeling techniques, system performance analysis and tuning, and data warehousing concepts
- Knowledge of various operating systems such as Linux, Unix, and Windows
- Ability to write complex queries and perform advanced database operations using SQL
Benefits:
- Comprehensive benefits to support physical, mental, and financial well-being
- Competitive compensation package
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