Senior Snowflake Engineer
Core
Design, develop, and optimize scalable data solutions, pipelines, and analytics-ready data models using Snowflake to support business outcomes.
Role type
Senior IC Snowflake data engineer
Builds
Reliable data pipelines, transformation logic, ingestion frameworks, and analytics-ready data models (via careerplan.io/jobs/cbe239cc-8d68-4bbe-88d5-07a3f4581ee4-senior-snowflake-engineer-at-jobgether)
Domain
Cloud data engineering (Snowflake, AWS/Azure/GCP)
Required skills
Snowflake (Warehouses, Streams, Tasks, Snowpark, SnowSQL), Advanced SQL, ETL/ELT orchestration (dbt, Airflow, Azure Data Factory, AWS Glue, Matillion), Data modeling (Star/Snowflake schemas, Data Vault), CI/CD, Cloud ecosystems (AWS, Azure, GCP), BI integration (Tableau, Looker, Power BI)
Preferred skills
Data quality and governance, Observability, Cost-performance optimization, Asynchronous remote collaboration
Technologies
Snowflake, SnowSQL, Snowpark, Streams, Tasks, Warehouses, dbt, Airflow, Azure Data Factory, AWS Glue, Matillion, Tableau, Looker, Power BI, AWS, Azure, GCP
Responsibilities
Design and maintain scalable data pipelines and transformation solutions; Build and optimize complex SQL queries, stored procedures, and UDFs; Develop data ingestion frameworks from APIs, files, and cloud storage; Design and implement data models (3NF, Data Vault, dimensional modeling); Optimize Snowflake compute resources and cost-performance; Establish data quality, lineage, and governance; Implement CI/CD practices for data development; Integrate data platforms with BI tools; Collaborate with stakeholders to clarify requirements and align timelines.
Seniority
Senior, hands-on IC
