Principal Solutions Architect - Data Engineering

The role

You will help customers modernize and expand their use of the Snowflake AI Data Cloud. You will design tailored data engineering solutions, pioneer agentic data engineering practices, and provide technical leadership to customer teams and Systems Integrators.

What you will do

• Provide technical expertise on Snowflake data engineering best practices.
• Architect Snowflake-centric solutions based on customer requirements.
• Build and deploy data pipelines using Snowflake features.
• Pioneer agentic data engineering practices using AI coding agents.
• Build POCs and reference implementations using SQL, Python, Snowpark, and dbt.
• Ensure knowledge transfer to enable customers.
• Maintain understanding of competing and complementary technologies.
• Guide customers through migrations, performance tuning, and cost optimization.
• Support other members of the Services Delivery team.
• Feed real-world delivery insights back to Product Management, Engineering, and Marketing.

Required qualifications

• Minimum 5 years experience working with customers in a pre-sales or post-sales technical role.
• Outstanding skills presenting to both technical and executive audiences.
• Thorough understanding of the complete data engineering lifecycle.
• Thorough understanding of modern data architecture patterns.
• Strong understanding of DataOps, including CI/CD, observability, performance tuning, and cost optimization.
• Hands-on experience applying AI coding agents and agentic workflows to data engineering work.
• Experience and understanding of at least one public cloud platform (AWS, Azure or GCP).
• Experience with at least one data platform or integration technology such as Databricks, AWS Glue/EMR, Azure Data Factory/Synapse, GCP BigQuery/Dataflow, Informatica, Fivetran, etc.
• Hands-on scripting experience with SQL and at least one of the following: Python, Java or Scala.
• Experience with tools and frameworks such as dbt, Apache Spark/PySpark, Apache Airflow, Kafka, Pandas, or similar.
• University degree in computer science, engineering, data science, mathematics or related fields, or equivalent experience.

Nice to have

• Experience migrating Databricks/Apache Spark or legacy ETL workloads to Snowflake
• Experience building agentic workflows, custom agent skills, or MCP-based tooling
• Experience with AI/ML workloads, including preparing data for feature engineering, RAG, or agent use cases
• Snowflake certifications (e.g., SnowPro Advanced: Data Engineer or Architect)
• Proven success within enterprise software
• Vertical expertise in a core vertical such as FSI, Retail, Manufacturing etc.

About the company

Snowflake is powering the era of the agentic enterprise. The company seeks AI-native thinkers to help redefine the future of how work gets done.