Senior Snowflake Engineer

Information Security Responsibilities

• Promote and enforce awareness of key information security practices including acceptable use of information assets malware protection and password security protocols
• Identify assess and report security risks focusing on how these risks impact the confidentiality integrity and availability of information assets
• Understand and evaluate how data is stored processed or transmitted ensuring compliance with data privacy and protection standards (GDPR CCPA etc.)
• Ensure data protection measures are integrated throughout the information lifecycle to safeguard sensitive information

Role and Responsibilities:

Design develop and maintain scalable data pipelines and ELT/ETL workflows on Snowflake integrating data from diverse internal and external sources.
Architect and optimize Snowflake data models schemas and warehouses for performance reliability and cost efficiency.
Implement and enforce data governance security role-based access controls and data quality standards across the platform.
Monitor and tune warehouse performance query execution and resource consumption to control costs and meet SLAs.
Build and maintain CI/CD pipelines for data infrastructure using tools such as dbt Git and orchestration frameworks (e.g. Airflow).
Leverage advanced Snowflake features — Snowpipe Streams Tasks Time Travel Dynamic Tables and Snowpark — to deliver near-real-time and automated data solutions.
Collaborate with analysts data scientists and business stakeholders to translate requirements into robust data solutions.
Mentor junior engineers conduct code reviews and establish best practices for data engineering across the team. 

Required Qualifications:

5+ years of data engineering experience with 3+ years of hands-on Snowflake development in a production environment.
Expert-level SQL skills including complex query design optimization and performance tuning.
Strong experience designing dimensional and/or data vault data models and building ELT pipelines.
Proficiency with dbt for data transformation and modeling.
Hands-on experience with at least one cloud platform (AWS Azure or GCP) and its data services.
Programming proficiency in Python for data processing automation and scripting.
Proficiency using GenAI and AI-assisted development tools (e.g. Claude Code ChatGPT/OpenAI GitHub Copilot Cursor) to accelerate coding debugging and documentation.
Experience with workflow orchestration tools such as Airflow Dagster or Prefect.
Solid understanding of data warehousing concepts data governance and security best practices.
Bachelor's degree in Computer Science Engineering or a related field or equivalent practical experience. 

What We Do

Bounteous is a global AI Services firm where agentic engineering and human experience converge to deliver transformative business outcomes for the enterprise. We help organizations design build and scale AI-driven products platforms and processes. With more than 5000 team members worldwide Bounteous delivers AI that sticks powering adoption and outcomes that move organizations from experimentation to true transformation.

Why Work With Us

Bounteous combines strategy experience design engineering data and AI to help leading brands build intelligent systems that are practical scalable and measurable. People join us to work on meaningful transformation initiatives collaborate with smart and supportive teams and help shape what’s next in AI and digital experience.

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