Core Responsibilities
Design end-to-end Snowflake data architecture for enterprise data platforms
Define data models (conceptual, logical, physical) and ELT frameworks
Lead data migration from legacy EDW/DataStage to Snowflake
Architect and integrate pipelines across ADF, Databricks, and Snowflake
Strong domain knowledge in Supply Chain
Strong Health care domain knowledge
Optimize query performance, workload management, and cost efficiency
Configure Snowflake features:
Virtual warehouses
Resource monitors
Time travel / zero-copy cloning
Ensure data quality, lineage, and validation across pipelines
Implement data governance, security, and RBAC frameworks
Build scalable, reusable metadata-driven frameworks
Troubleshoot and resolve complex performance and data issues
Collaborate with:
Data Engineering teams (ADF, Databricks)
BI teams (Looker/Tableau)
Business stakeholders
Lead architecture design reviews, code reviews, and mentoring
Drive technical strategy and solution governance
Required Skills
Strong expertise in Snowflake architecture & implementation
Advanced SQL, ELT design, and performance tuning
Experience with Azure + Databricks ecosystem
Strong understanding of Data Warehousing & Lakehouse architecture
Preferred (McKesson Context)
Experience in Healthcare / Supply Chain domain
Exposure to DataStage → Snowflake migration
Familiarity with Looker / Tableau reporting integration
Soft Skills
Strong stakeholder communication and leadership
Ability to manage high-visibility enterprise programs
Comfortable working in onsite/offshore model
Role Descriptions: Data Architect (Snowflake) Job Description:Design and implement scalable| secure data architectures on Snowflake to support analytics and business intelligence needs.Develop data models| ETL/ELT pipelines| and optimize performance| storage| and cost efficiency.Collaborate with stakeholders to define data strategies| governance| and integration with cloud platforms (AWS/Azure/Google Cloud Platform).Ensure data quality| security| and compliance while guiding best practices and mentoring data engineering teams.
Essential Skills: Data Architect (Snowflake) Job Description:Design and implement scalable| secure data architectures on Snowflake to support analytics and business intelligence needs.Develop data models| ETL/ELT pipelines| and optimize performance| storage| and cost efficiency.Collaborate with stakeholders to define data strategies| governance| and integration with cloud platforms (AWS/Azure/Google Cloud Platform).Ensure data quality| security| and compliance while guiding best practices and mentoring data engineering teams.
Desirable Skills:
Keyword:
Skills: Data Architecture and Modeling
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