Senior Data Engineer supporting AI - enabled financial compliance initiative with data pipelines and ingestion processes. Collaborating with diverse teams in a mission - critical regulated environment.
About the role
- Senior Data Architect designing enterprise-wide data architectures at McKesson. Leading teams to facilitate data-driven change and creating business value through advanced analytics.
Responsibilities
- Architect canonical data domains across customer, product, pricing, supply chain, contracts, and financial performance
- Design semantic layers, business ontology, subject-area models, and metrics definitions for AI agents
- Define principles for data interoperability, lineage, access control, multi-cloud integration
- Design and implement robust, scalable, and integrated data environment across the organization
Requirements
- Typically requires 7+ years' experience in data engineering and architecture
- Master's or Bachelor’s degree in Computer Science, Engineering, or related field
- Proven expertise in enterprise data architecture, including data requirements collection, data architecture analysis
- Knowledge of Databricks, Snowflake, MDM, SAP, Salesforce/Conga
- Strong analytical skills and the ability to develop strategies that align with long-term objectives
Benefits
- Competitive compensation package
- Health, happiness, and well-being focus
- Career growth opportunities
- Empowerment to bring new ideas
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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