Snowflake Data Architect

South San Francisco, CA - USA

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

Snowflake Data Architect
Location: South San Francisco CA (3 Days Onsite / Hybrid) Only Local
Duration: Long Term

Key Responsibilities

Design and architect end-to-end data solutions leveraging Snowflake as the primary data warehouse.
Build and optimize ETL/ELT pipelines using Matillion ensuring scalability performance and reliability.
Develop data models (conceptual logical and physical) addressing business and analytical requirements.
Define and enforce data governance data quality and metadata management standards.
Work closely with product BI analytics and engineering teams to translate business needs into architectural blueprints.
Optimize Snowflake performance: clustering micro-partitioning caching warehouse sizing and cost governance.
Integrate data from various structured and unstructured sources.
Review existing data systems and recommend modernization opportunities.
Ensure security best practices including role-based access control encryption and compliance.
Create documentation architectural diagrams and data flow maps.
Drive best practices for CI/CD data testing and DevOps for data pipelines.

Required Skills

10 years of experience in data engineering or data architecture roles.
Strong hands-on expertise in Matillion ETL/ELT (jobs orchestration components transformations).
Deep understanding of Snowflake-warehouses schema design streams tasks materialized views performance tuning.
Proficiency in SQL data modeling and data warehouse concepts (Kimball/Inmon).
Experience with cloud platforms (AWS/Azure/GCP) especially AWS services like S3 Lambda EC2 IAM.
Strong understanding of batch and real-time data processing patterns.
Knowledge of data governance master data management and metadata frameworks.
Experience with version control (Git) and CI/CD workflows.
Ability to create architecture diagrams using tools like Lucidchart or Visio.

Note: Momento USA is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race color religion sex pregnancy sexual orientation gender identity national origin age protected veteran status or disability status.

Snowflake Data Architect Location: South San Francisco CA (3 Days Onsite / Hybrid) Only Local Duration: Long Term Key Responsibilities Design and architect end-to-end data solutions leveraging Snowflake as the primary data warehouse. Build and optimize ETL/ELT pipelines using Matillion ensuring ...

Snowflake Data Architect
Location: South San Francisco CA (3 Days Onsite / Hybrid) Only Local
Duration: Long Term

Key Responsibilities

Design and architect end-to-end data solutions leveraging Snowflake as the primary data warehouse.
Build and optimize ETL/ELT pipelines using Matillion ensuring scalability performance and reliability.
Develop data models (conceptual logical and physical) addressing business and analytical requirements.
Define and enforce data governance data quality and metadata management standards.
Work closely with product BI analytics and engineering teams to translate business needs into architectural blueprints.
Optimize Snowflake performance: clustering micro-partitioning caching warehouse sizing and cost governance.
Integrate data from various structured and unstructured sources.
Review existing data systems and recommend modernization opportunities.
Ensure security best practices including role-based access control encryption and compliance.
Create documentation architectural diagrams and data flow maps.
Drive best practices for CI/CD data testing and DevOps for data pipelines.

Required Skills

10 years of experience in data engineering or data architecture roles.
Strong hands-on expertise in Matillion ETL/ELT (jobs orchestration components transformations).
Deep understanding of Snowflake-warehouses schema design streams tasks materialized views performance tuning.
Proficiency in SQL data modeling and data warehouse concepts (Kimball/Inmon).
Experience with cloud platforms (AWS/Azure/GCP) especially AWS services like S3 Lambda EC2 IAM.
Strong understanding of batch and real-time data processing patterns.
Knowledge of data governance master data management and metadata frameworks.
Experience with version control (Git) and CI/CD workflows.
Ability to create architecture diagrams using tools like Lucidchart or Visio.