Lead Data Architect
McKesson
full-time
Posted on:
Location Type: Remote
Location: Tennessee • United States
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Job Level
About the role
- 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
- Data Strategy: Develop and implement a comprehensive data strategy aligned with business goals
- Data Modeling: Design conceptual, logical, and physical data models that represent the structure and relationships of data within the organization
- Data Architecture: Create and maintain the overall data architecture framework, including databases, data warehouses, data lakes, and other data systems
- Data Mapping: Develop and implement data mapping rules to transform data from source systems to target systems, ensuring data accuracy and consistency
- Data Integration: Design and implement processes for integrating data from various sources, ensuring data consistency and accuracy
- Data Governance: Establish data governance policies and procedures to ensure data quality, security, and HIPPA compliance across all data systems and platforms
- Technology Evaluation: Evaluate and recommend data management technologies and tools to support the organization's data needs
- Problem Solving: Identify and resolve data-related issues, ensuring data integrity and reliability
- AI Solutions: Design and implement architectures that seamlessly integrate AI models and algorithms with existing data infrastructures, including cloud-native and legacy systems
- Collaboration: Work closely with stakeholders, including business analysts, data scientists, and IT professionals, to understand data requirements and translate them into technical solutions
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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data architecturedata modelingdata integrationdata governanceSQLdatabase engineeringcloud technologiesdata mappingAI solutionsproblem solving
Soft Skills
collaboration