Google Cloud Platform BQ Lead/Architect (REMOTE 100%)

Google Cloud Platform BQ Lead/Architect (REMOTE 100%)

Posted 2 days ago by American IT Systems

Negotiable
Undetermined
Remote
Remote

Summary: The Google Cloud Platform BQ Lead/Architect role focuses on leveraging Google Cloud Platform to manage data access and integration with Snowflake. The position requires expertise in data architecture, ETL/ELT processes, and automation, alongside proficiency in Python for scripting and CI/CD integration. Additionally, knowledge of security and access management within cloud environments is essential. This is a fully remote position.

Key Responsibilities:

  • Manage data access, subscriptions, and integration with Snowflake on Google Cloud Platform.
  • Design scalable and efficient data models and pipelines for analytics and business intelligence.
  • Implement data ingestion, transformation, and loading processes with a focus on automation.
  • Utilize Python for automation, including writing reusable scripts and integrating workflows into CI/CD pipelines.
  • Ensure compliance with data access controls and role-based permissions in cloud environments.

Key Skills:

  • Strong experience with Google Cloud Platform.
  • Expertise in data architecture and modeling.
  • Proficiency in ETL/ELT processes and automation tools.
  • Python programming skills, including experience with libraries like Netmiko and PyATS.
  • Knowledge of security and access management in cloud environments.

Salary (Rate): £54,000 yearly

City: undetermined

Country: undetermined

Working Arrangements: remote

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Google Cloud Platform BQ Lead/Architect


Job Description:


Cloud Platform Proficiency: Strong experience with Google Cloud Platform (Google Cloud Platform), including managing data access, subscriptions, and integration with Snowflake.
Data Architecture and Modelling: Ability to design scalable, efficient data models and pipelines that support analytics and business intelligence.
Data Integration, ETL/ELT, and Automation: Skilled in designing and implementing data ingestion, transformation, and loading processes using tools compatible with Snowflake, with a strong emphasis on automation to reduce manual effort.
Python and Scripting Skills: Proficiency in Python programming for automation, including writing reusable scripts, leveraging libraries such as Netmiko and PyATS for network and data automation, and integrating Python-based workflows into CI/CD pipelines.
Security and Access Management: Knowledge of data access controls, role-based permissions, and compliance requirements within Snowflake and Google Cloud Platform environments.