VP-Data Science/Analytics Lead
Tasks
- Architect data ingestion and transformation strategies ETL ELT
- Collaborate with business and analytics teams
- Define data models schemas and standards
- Design data security and governance roles policies masking compliance
- Design enterprise data architecture using Snowflake
- Ensure scalability, performance, and cost optimization
- Establish architectural documentation and best practices
- Guide data engineers and review technical designs
- Integrate data tools and streaming platforms
- Plan cloud architecture across AWS
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Access Control | Agile | Airflow | Azure | Cloud Architecture | Cost Optimization | DBT | Dagster | Data Governance | Data Ingestion | Data Modeling | Data Security | Data Vault | Data Vault 2.0 | Data Warehousing | Data masking | ELT | ETL | Jira | Kafka | Performance Tuning | Role-Based Access | Role-Based Access Control | SQL | Scrum | Snowflake | Snowflake Schema | Snowflake architecture | Star Schema
Education
Roles
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