Snowflake Solution Architect

Baltimore, MD - USA

Monthly Salary: Not Disclosed

Posted on: 12 hours ago

Vacancies: 1 Vacancy

Job Summary

Must Have Technical/Functional Skills

Snowflake expertise: Warehouses databases roles RBAC SCIM MFA.
Data Engineering: ELT/ETL tools (dbt Talend) orchestration (Airflow).
Cloud Platforms: AWS Azure or GCP with Snowflake integration.
Programming: SQL Python; familiarity with ML frameworks.
Security & Compliance: Data masking encryption audit processes
Strong experience with LLMs (OpenAI Anthropic Hugging Face LangChain).
Proficiency in Python and modern AI frameworks.
Familiarity with vector databases prompt engineering and AI best practices.
5 years of product-focused engineering experience.
Knowledge of cloud deployment and scaling AI systems.
Strong SQL and Python skills.
Hands-on experience with dbt and Snowflake.
Familiarity with cloud platforms (AWS ).
Knowledge of CI/CD DevOps practices and data orchestration tools (Airflow Prefect).
Ability to create lineage graphs documentation and validation frameworks

Must Have skills : snowflake Cortex AI AWS DBT

Roles & Responsibilities

Design and manage data pipelines using dbt Airflow and CI/CD frameworks.
Implement Snowpipe for continuous ingestion Streams & Tasks for real-time processing.
Enable AI/ML integration: Support predictive analytics and generative AI use cases.
Leverage Snowflake Cortex and Copilot for LLM-based applications.
Ensure data governance RBAC and security compliance across Snowflake environments.
Optimize performance and implement Time Travel Zero Copy Cloning and Secure Data Sharing
Build production-ready AI applications and LLM-powered features.
Collaborate with AI Data teams to develop agentic AI workflows.
Experiment with open-source models and translate prototypes into production systems.
Implement RAG pipelines fine-tuning and observability for AI models.
Design and deploy secure scalable and highly available architectures on AWS.
Select appropriate AWS services for application design and deployment.
Implement cost-control strategies and disaster recovery plans.
Collaborate with teams to integrate systems and ensure compliance.
Develop Infrastructure as Code (IaC) using Terraform or CloudFormation
Design build and maintain data pipelines using dbt for analytics and operational use cases.
Implement standards for data quality consistency and reliability. Optimize query performance and manage compute costs.
Collaborate with analysts and stakeholders to understand data requirements.
Build automation into workflows and ensure compliance with governance policies.

Salary Range: $160000 - $180000 a year

ial Assistance: Legal Assistance 401K Plan Performance Bonus College Fund Student Loan Refinancing.

Salary Range: $160000 - $180000 a year

Must Have Technical/Functional Skills Snowflake expertise: Warehouses databases roles RBAC SCIM MFA. Data Engineering: ELT/ETL tools (dbt Talend) orchestration (Airflow). Cloud Platforms: AWS Azure or GCP with Snowflake integration. Programming: SQL Python; familiarity with ML frameworks. Security ...

Must Have Technical/Functional Skills

Snowflake expertise: Warehouses databases roles RBAC SCIM MFA.
Data Engineering: ELT/ETL tools (dbt Talend) orchestration (Airflow).
Cloud Platforms: AWS Azure or GCP with Snowflake integration.
Programming: SQL Python; familiarity with ML frameworks.
Security & Compliance: Data masking encryption audit processes
Strong experience with LLMs (OpenAI Anthropic Hugging Face LangChain).
Proficiency in Python and modern AI frameworks.
Familiarity with vector databases prompt engineering and AI best practices.
5 years of product-focused engineering experience.
Knowledge of cloud deployment and scaling AI systems.
Strong SQL and Python skills.
Hands-on experience with dbt and Snowflake.
Familiarity with cloud platforms (AWS ).
Knowledge of CI/CD DevOps practices and data orchestration tools (Airflow Prefect).
Ability to create lineage graphs documentation and validation frameworks

Must Have skills : snowflake Cortex AI AWS DBT

Roles & Responsibilities

Design and manage data pipelines using dbt Airflow and CI/CD frameworks.
Implement Snowpipe for continuous ingestion Streams & Tasks for real-time processing.
Enable AI/ML integration: Support predictive analytics and generative AI use cases.
Leverage Snowflake Cortex and Copilot for LLM-based applications.
Ensure data governance RBAC and security compliance across Snowflake environments.
Optimize performance and implement Time Travel Zero Copy Cloning and Secure Data Sharing
Build production-ready AI applications and LLM-powered features.
Collaborate with AI Data teams to develop agentic AI workflows.
Experiment with open-source models and translate prototypes into production systems.
Implement RAG pipelines fine-tuning and observability for AI models.
Design and deploy secure scalable and highly available architectures on AWS.
Select appropriate AWS services for application design and deployment.
Implement cost-control strategies and disaster recovery plans.
Collaborate with teams to integrate systems and ensure compliance.
Develop Infrastructure as Code (IaC) using Terraform or CloudFormation
Design build and maintain data pipelines using dbt for analytics and operational use cases.
Implement standards for data quality consistency and reliability. Optimize query performance and manage compute costs.
Collaborate with analysts and stakeholders to understand data requirements.
Build automation into workflows and ensure compliance with governance policies.