

THOUGHT BYTE
Snowflake Technical Lead
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Snowflake Technical Lead with over 10 years of experience, including 5+ years in Snowflake. It offers a long-term contract at a pay rate of "unknown" in Cupertino, CA, or remote. Key skills include Snowflake expertise, Python, and cloud platforms.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
-
ποΈ - Date
January 15, 2026
π - Duration
Unknown
-
ποΈ - Location
Remote
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
Cupertino, CA
-
π§ - Skills detailed
#Airflow #"ETL (Extract #Transform #Load)" #Azure #Data Engineering #Snowpark #AWS (Amazon Web Services) #GCP (Google Cloud Platform) #Python #SnowPipe #Automation #Data Pipeline #Data Processing #Snowflake #dbt (data build tool) #Cloud #SQL (Structured Query Language) #Security
Role description
Job Title: Snowflake Technical Lead
Location: Cupertino, CA (or Remote in Worst case, if we cannot identify profiles in CA)
Duration: Long Term Contract
Experience:
β’ 10+ Years (>5 years in Snowflake)
Skills:
β’ Snowflake SME, Python, End-to-End Cloud Data Engineer.
Role Summary:
β’ Looking for a Snowflake Subject Matter Expert (SME) with strong Python hands-on skills to lead end-to-end Snowflake development - including ingestion, pipelines, automation, and optimization.
β’ Candidate must have deep Snowflake platform knowledge beyond SQL or basic ETL.
Key Responsibilities:
β’ Lead end-to-end design and development of Snowflake data pipelines.
β’ Implement ingestion using Snowpipe, Streams, Tasks, external stages, OpenPipe.
β’ Build automation and processing scripts using Python.
β’ Optimize Snowflake performance, cost, and security.
β’ Support CI/CD, orchestration, and integration with cloud platforms.
β’ Provide Snowflake SME guidance to the engineering team.
Required Skills:
β’ Strong, hands-on Snowflake architecture and pipeline development.
β’ Expertise in Python for automation, ingestion, and data processing.
β’ Experience with Snowpipe, Streams, Tasks, stages, and end-to-end ingestion frameworks.
β’ Strong SQL, cloud platform experience (AWS/Azure/GCP), and CI/CD exposure.
Preferred Skills:
β’ Experience with Airflow / dbt / Snowpark.
β’ Snowflake or cloud certifications.
Job Title: Snowflake Technical Lead
Location: Cupertino, CA (or Remote in Worst case, if we cannot identify profiles in CA)
Duration: Long Term Contract
Experience:
β’ 10+ Years (>5 years in Snowflake)
Skills:
β’ Snowflake SME, Python, End-to-End Cloud Data Engineer.
Role Summary:
β’ Looking for a Snowflake Subject Matter Expert (SME) with strong Python hands-on skills to lead end-to-end Snowflake development - including ingestion, pipelines, automation, and optimization.
β’ Candidate must have deep Snowflake platform knowledge beyond SQL or basic ETL.
Key Responsibilities:
β’ Lead end-to-end design and development of Snowflake data pipelines.
β’ Implement ingestion using Snowpipe, Streams, Tasks, external stages, OpenPipe.
β’ Build automation and processing scripts using Python.
β’ Optimize Snowflake performance, cost, and security.
β’ Support CI/CD, orchestration, and integration with cloud platforms.
β’ Provide Snowflake SME guidance to the engineering team.
Required Skills:
β’ Strong, hands-on Snowflake architecture and pipeline development.
β’ Expertise in Python for automation, ingestion, and data processing.
β’ Experience with Snowpipe, Streams, Tasks, stages, and end-to-end ingestion frameworks.
β’ Strong SQL, cloud platform experience (AWS/Azure/GCP), and CI/CD exposure.
Preferred Skills:
β’ Experience with Airflow / dbt / Snowpark.
β’ Snowflake or cloud certifications.






