Sarah Cannon Research Institute · 3 hours ago
Lead Data Architect
TN
Full-time
Onsite
Lead/Staff
10+ years expSarah Cannon Research Institute (SCRI) is a leading oncology research organization focused on advancing therapies for cancer patients. As a Lead Data Architect, you will drive the database strategy across all products, ensuring robust and scalable data infrastructure to support healthcare delivery and clinical research.
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, ensuring it is a valuable asset for decision-making and business operations
Create and maintain documentation for database architecture, procedures, and standards
Develop and implement a comprehensive data strategy aligned with business goals. This involves understanding the organization's data needs and creating a roadmap for effective data management
Design conceptual, logical, and physical data models that represent the structure and relationships of data within the organization
Create and maintain the overall data architecture framework, including databases, data warehouses, data lakes, and other data systems
Develop and implement data mapping rules to transform data from source systems to target systems, ensuring data accuracy and consistency
Design and implement processes for integrating data from various sources, ensuring data consistency and accuracy
Establish data governance policies and procedures to ensure data quality, security, and HIPPA compliance across all data systems and platforms
Evaluate and recommend data management technologies and tools to support the organization's data needs
Identify and resolve data-related issues, ensuring data integrity and reliability
Design and implement architectures that seamlessly integrate AI models and algorithms with existing data infrastructures, including cloud-native and legacy systems
Work closely with stakeholders, including business analysts, data scientists, and IT professionals, to understand data requirements and translate them into technical solutions. Influence projects to make decisions related to data strategies including data quality, data architecture and data management best practices
Qualification
Required
Minimum of 7 years of experience in enterprise data architecture, including data requirements collection, data architecture analysis, evaluation, documentation, data modeling, design, development, model validation, and data integration in modern data platforms (e.g., Azure, Databricks, Snowflake)
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
Preferred
Expertise in modern cloud-native database solutions
Experience with database migration tools and strategies, including handling zero-downtime migrations and data synchronization
Proficiency in infrastructure-as-code and automation tools (Terraform) for database deployment and management
Ability to design scalable database architectures that support microservices and distributed systems
Experience with various database patterns (CQRS, event sourcing, sharding strategies)
Understanding of data modeling for both relational and NoSQL databases
Benefits
Comprehensive benefits to support physical, mental, and financial well-being
Competitive compensation package
Annual bonus or long-term incentive opportunities
Company
Sarah Cannon Research Institute
Sarah Cannon Research Institute is one of the world’s leading oncology research organizations conducting community-based clinical trials.
501-1000 employees
Funding
Current Stage
Late StageLeadership Team
Deepak Bhamidipati
Assistant Director of Drug Development
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