AI Data Engineer / Snowflake Cortex Engineer
AI Summary
An AI Data Engineer / Snowflake Cortex Engineer builds AI-ready datasets and scalable data products on Snowflake Cortex, enabling advanced analytics, anomaly detection, and AI-assisted decision-making while collaborating with analytics and platform teams.
About this role
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI Data Engineer / Snowflake Cortex Engineer based in Brazil.
This role is designed for a data engineering professional passionate about artificial intelligence, analytics, and modern data platforms. You will help enable AI capabilities within enterprise data ecosystems by building reliable, AI-ready datasets and scalable data products. The position focuses on leveraging Snowflake Cortex to support advanced use cases such as intelligent analytics, anomaly detection, and AI-assisted decision-making. You will collaborate with data, analytics, and platform teams to create governed solutions that transform data into business value. This is an opportunity to contribute to the evolution of AI-driven platforms in a dynamic and innovation-focused environment.
Accountabilities:
The role focuses on enabling AI capabilities through modern data engineering practices, ensuring that data platforms are prepared for intelligent applications while maintaining quality, governance, and scalability.
- Enable AI capabilities on enterprise data platforms using Snowflake Cortex and related AI technologies.
- Build and maintain AI-ready datasets and semantic-ready data products that support advanced analytics use cases.
- Develop solutions for use cases such as metric intelligence, anomaly detection, and AI-assisted analysis.
- Define reusable implementation patterns and best practices for Snowflake Cortex-based solutions.
- Collaborate with Analytics Engineering teams to expose trusted metrics and governed datasets for AI applications.
- Support the development of future AI and agentic capabilities, including monitoring agents, recommended actions, and personalized insights.
- Document implementation approaches, technical assumptions, platform considerations, and solution guidelines.
- Ensure AI enablement initiatives follow data quality standards, access controls, governance practices, and responsible AI principles.
- Work closely with platform, analytics engineering, and business stakeholders to align technical solutions with organizational goals.
- Strong hands-on experience with Snowflake data platforms.
- Experience or strong knowledge of Snowflake Cortex and Snowflake AI capabilities.
- Advanced SQL and solid data engineering skills.
- Experience preparing AI-ready datasets and semantic-ready data products.
- Understanding of data modeling, metrics frameworks, and business-oriented data layers.
- Experience with Python is desirable.
- Familiarity with AI-assisted analytics, metric intelligence, or agentic AI use cases is a plus.
- Awareness of data governance, access management, and responsible AI practices.
- Ability to collaborate effectively with platform teams, analytics engineers, and data stakeholders.
- Strong analytical mindset with the ability to translate business needs into scalable data solutions.
- Health insurance.
- Dental insurance.
- Meal allowance.
- Food allowance.
- Childcare assistance.
- Extended paternity leave.
- Gym and wellness partnerships through health and fitness platforms.
- Profit Sharing and Results Participation (PLR).
- Life insurance.
- Continuous learning opportunities through internal learning platforms.
- Access to online learning platforms and professional development resources.
- Discount club partnerships.
- Free online platform focused on physical, mental, and overall well-being.
- Pregnancy and responsible parenting courses.
- Language learning platform.
- Inclusive work environment with dedicated support for accessibility and employee well-being.
- Opportunities to work with innovative AI and data technologies.
Requirements:
The ideal candidate has strong experience in data engineering, Snowflake environments, and AI-enabled data solutions, with the ability to collaborate across technical and business teams.
