SENIOR SNOWFLAKE ENGINEER

Job Overview 

We are building a modern data platform centered on Snowflake and we’re seeking a Snowflake-focused data professional to design, build and operationalize Snowflake-native solutions. The role combines advanced Snowflake development (Snowpark, Streams & Tasks, Snowpipe), data architecture and platform engineering to deliver performant, secure, governed data products, developer utilities and Snowflake-based apps that enable analytics and data products across the business. 

Reports To 
 
Director, Data and AI 

Responsibilities and Duties 

·         Lead design and implementation of Snowflake-based data architectures: schemas, data vault/house/star models, materialized views, and zero-copy cloning patterns for environments. 

·         Build and maintain production ETL/ELT pipelines into Snowflake using Snowpipe, Snowpark, Streams & Tasks and partner tools (Streamsets, dbt, Fivetran, Matillion, Airbyte, etc.). 

·         Develop Snowflake-native utilities and apps (Snowpark for Python, UDFs, external functions, and internal tools) to accelerate developer productivity and data product delivery. 

·         Optimize query performance and cost through clustering keys, partitioning strategies, resource monitors, warehouse sizing, and workload isolation. 

·         Implement data governance, security and access controls in Snowflake based on role-based access, masking policies, object tagging, data lineage and audit logging. 

·         Automate infrastructure and deployments leveraging IaC for Snowflake objects and cloud infra CI/CD pipelines, and automated testing for SQL/Snowpark code. 

·         Build observability and operational tooling by monitoring, alerting, usage/cost reporting, and incident playbooks for Snowflake workloads. 

·         Mentor engineers, review designs and contribute to roadmap decisions for Snowflake platform evolution. 

Required skills and experience 

·         Strong hands-on experience designing and operating Snowflake in production  

·         Deep experience with Snowflake features, like Snowpark, Streams & Tasks, Snowpipe, Time Travel, cloning, materialized views, external functions and user-defined functions. 

·        Hands-on ETL/ELT development experience with dbt, SQL, and one or more ingestion tools (Streamsets, Fivetran, Matillion, Airbyte, Kafka connectors). 

·         Proficient in Python (Snowpark/connector), SQL tuning and query optimization techniques. 

·         Experience with IaC and automation (Terraform, GitHub Actions, Jenkins, or equivalent). 

·         Strong knowledge of cloud platforms and native services (AWS, Azure or Google Cloud Platform) as they relate to Snowflake deployment and integrations. 

·         Solid understanding of medallion architecture, data modeling patterns, data governance, and secure data sharing. 

·         Demonstrated ability to implement CI/CD, automated testing and production operational practices for data workloads. 

Preferred qualifications 

·         Snowflake SnowPro Core or advanced Snowflake certifications. 

·         Experience with dbt (core or Cloud) for transformation and modular SQL engineering. 

·         Experience with data virtualization, data catalogs or data lineage tools. 

·         Familiarity with analytics and BI integrations (Looker, Tableau, Power BI) and building Snowflake-optimized semantic layers. 

·         Experience building internal developer tools or data apps using Snowpark or lightweight web frameworks.