Demo

Snowflake Solution Architect

NuStar Technologies
Baltimore, MD Full Time
POSTED ON 1/9/2026
AVAILABLE BEFORE 7/7/2026
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: $160,000 - $180,000 a year

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

Salary Range: $160,000 - $180,000 a year

Salary : $160,000 - $180,000

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