VP - Snowflake Data Architect
PR2-Princeton - 1 University Square Drive, United States
R
USD 148K-200K Senior-level Full Time
Tasks
- Create AI ready data models
- Define RBAC security and data masking
- Define data testing validation reconciliation and observability standards
- Define target state architecture in Snowflake
- Design multi account Snowflake architectures
- Design secure data pipelines for AI ML workloads
- Develop data models and golden source strategies
- Drive performance tuning with query profiling and clustering
- Ensure data transformation traceability for SOX
- Establish cost governance and performance engineering standards
- Establish enterprise data modeling standards
- Guide orchestration strategies for data pipelines
- Implement SCD and historical tracking models
- Implement Snowflake Cortex capabilities
- Implement data governance and compliance frameworks
- Lead architecture review boards and engineering standards
- Lead logical and physical data model design
- Mentor data engineers
- Oversee ingestion and transformation frameworks using ELT
- Oversee monitoring observability and data quality
- Serve as primary advisor on data strategy
Perks/Benefits
- Flexible time off
- Healthcare
- Hybrid work model
- Leave benefits
- Retirement benefits
- Tuition reimbursement
- Working parent support
Skills/Tech-stack
AI SQL | AWS | Airflow | Audit compliance | Azure | CI/CD | DBT | Data Architecture | Data Governance | Data Lineage | Data Modeling | Data Quality | Data Vault | Data masking | Dimensional Modeling | Dynamic data | Dynamic data masking | ELT | ETL | Embeddings | Enterprise Data | Enterprise Data Architecture | Fivetran | GCP | Infrastructure as Code | LLM | PII | Python | RAG | RBAC | Retrieval-Augmented Generation | Row Level Security | SCD Type-2 | SOX | SQL | Semantic Search | Snowflake | Snowpark | Terraform | Type 2) | Vector Databases | Vector embeddings | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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