Sr. Snowflake Developer

  • San Francisco, CA
  • Posted 18 hours ago | Updated 18 hours ago

Overview

On Site
Depends on Experience
Contract - W2
Contract - 12 Month(s)

Skills

Fivetran
Snowflake data models
SQL queries
views
stored procedures
data warehousing
(AWS
GCP
Azure

Job Details

Sr. Snowflake Developer

Job Summary

We are seeking an experienced Snowflake Developer to support data engineering and analytics initiatives. This role focuses on building, optimizing, and scaling Snowflake-based data solutions while working closely with analytics, data science, and platform teams.

Responsibilities

  • Design, develop, and optimize Snowflake data models, schemas, and warehouses

  • Build and maintain ETL/ELT pipelines, including Fivetran integrations and cloud-native tools

  • Write and optimize complex SQL queries, views, and stored procedures

  • Implement Snowflake features such as Streams, Tasks, Time Travel, and Zero-Copy Cloning

  • Optimize performance, scalability, and cost of Snowflake workloads

  • Integrate Snowflake with APIs, data lakes, and BI tools

  • Collaborate with data engineering, analytics, and AI/ML teams to support advanced analytics use cases

  • Ensure data quality, governance, security, and compliance best practices

  • Monitor production workloads and support performance tuning and issue resolution

Required Qualifications

  • 10+ years of experience in data engineering or data warehousing

  • 6+ years of hands-on Snowflake experience

  • Advanced SQL skills, including performance tuning

  • Experience with Fivetran for data ingestion and ELT pipelines

  • Experience with cloud platforms (AWS, Google Cloud Platform, or Azure)

  • Strong understanding of data modeling (star and snowflake schemas)

  • Experience with ETL/ELT tools such as Fivetran, dbt, Airflow, or Matillion

  • Working knowledge of Python for data processing and automation

  • Familiarity with Snowflake security, RBAC, and governance

  • Strong communication and collaboration skills

  • Experience supporting AI/ML or analytics-heavy environments

  • Exposure to large-scale or real-time data processing

  • Experience with BI tools (Tableau, Looker, Power BI)

  • Snowflake or cloud certifications

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