- Full-time
- Service Region: UCC

Company Description

We are a Digital Product Engineering company that is scaling in a big way We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (18000+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in

Job Description

Snowflake Cortex AI

- Architect and lead the design of enterprise-scale Snowflake Cortex AI solutions, including Cortex AISQL, Cortex Analyst, Cortex Search, Cortex Agents, Document AI, and fine-tuning.
- Design and implement Retrieval-Augmented Generation (RAG) pipelines using Cortex Search, vector embeddings, and appropriate chunking, retrieval, and reranking strategies.
- Build conversational analytics and text-to-SQL experiences using Cortex Analyst over governed semantic models, with defined accuracy and evaluation criteria.
- Apply Cortex LLM functions (COMPLETE, SUMMARIZE, SENTIMENT, TRANSLATE, EXTRACT_ANSWER, CLASSIFY) within SQL and Python workflows where they are the right tool for the job.
- Configure Cortex Sense to assemble shared business context that grounds CoWork and CoCo agents for higher out-of-the-box accuracy.
- Expose Cortex Agents, semantic views, and search services as reusable tools via Snowflake-managed MCP servers for consumption across MCP-compatible clients.
- Enable teams to build with Snowflake CoCo — the Snowflake-native, data-aware AI coding agent — to accelerate data engineering, ML pipelines, and agent development in ways that respect catalog, lineage, and RBAC.




- Lead integration of vector search and embedding models into AI-powered data workflows.
- Define and own the technical architecture and multi-year roadmap for Snowflake-based AI and data platforms.
- Lead the design of scalable data pipelines, data models, and warehousing solutions optimized for both performance and cost.
- Drive adoption of Snowpark (Python/Java/Scala) for advanced data engineering and ML workflows.
- Develop and deploy models using Snowflake ML, Snowpark, and Model Registry; operationalize feature engineering and inference at scale.
- Oversee pipeline orchestration using Airflow, dbt, Matillion, or comparable tooling.

Governance, Security & Standards

- Establish and enforce architectural standards, best practices, and governance frameworks for Snowflake and Cortex AI implementations.
- Ensure solutions meet data security, privacy, compliance, and governance requirements — particularly in regulated environments such as financial services.
- Conduct architecture reviews, design reviews, and code reviews across data engineering teams.

Leadership & Stakeholder Engagement

- Partner with senior business stakeholders, data scientists, and engineering leaders to identify high-value AI/ML use cases and translate requirements into deliverable architecture.




- Mentor and guide senior data engineers, analysts, and architects on Snowflake and AI best practices.
- Stay current with Snowflake product releases and Cortex AI advancements, and proactively recommend adoption where it creates measurable value.

Qualifications

- Bachelor’s degree or Master’s degree in Computer Science, Data Engineering, Information Technology, or a related field, or equivalent professional experience.

Years of Experience:

- 8+ years of experience in data engineering, data architecture, analytics, or AI/ML architecture.
- 4+ years of hands-on experience with Snowflake, including enterprise-scale data platform architecture.
- 2+ years of hands-on experience with Snowflake Cortex AI capabilities.

Skills:

- Strong experience with Snowflake and Snowflake Cortex AI.
- Strong experience with Generative AI fundamentals and enterprise AI/ML solutions.
- Experience with Snowflake CoCo, Cortex Sense, and Snowflake-managed MCP servers.
- Robust experience with Snowpark using Python, Java, or Scala.
- Experience with Snowflake ML, Model Registry, feature engineering, and inference at scale.
- Expert-level Python and strong SQL skills.
- Strong understanding of ETL concepts and scalable data pipelines, data modeling, and data warehousing.
- Experience conducting architecture reviews, design reviews, and code reviews.
- Snowflake certifications such as SnowPro Core or SnowPro Advanced Architect are preferred.

Additional Information

Disclaimer:Nagarro is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All

📌 Specialist Associate Principal Engineer (Brampton)
🏢 Nagarro
📍 Brampton