Negotiable
Undetermined
Remote
London Area, United Kingdom
Summary: The Google Workspace Architect role requires a seasoned professional with extensive experience in enterprise IT, particularly in Google Workspace and Google Cloud automation. The position involves migrating and optimizing large datasets, developing data models, and enhancing business visualization through Looker dashboards. The candidate must possess strong technical skills in Google Apps Script, Workspace APIs, and Python, along with excellent communication and collaboration abilities. This is a remote position based in the UK for a duration of 6 months.
Key Responsibilities:
- Work with large datasets previously managed through macros and migrate/optimize them using BigQuery.
- Develop data models, queries, and optimized pipelines within the Google Cloud environment.
- Build, design, and enhance Looker dashboards/reports for business visualization needs.
- Use Python scripts to manage and automate data movement between systems (limited to ETL/ELT tasks).
- Collaborate closely with the client’s onsite Google Architect to clarify and resolve technical questions.
- Work as an internal resource within the client’s environment, following their access and compliance protocols.
- Ensure all work adheres to active confidentiality agreements and data security standards.
- Support project kick-off, assist with rapid onboarding, and contribute to a fast-paced delivery environment.
Key Skills:
- 7–12 years of experience in enterprise IT, with at least 3+ years focused on Google Workspace or Google Cloud automation.
- Deep expertise in Google Apps Script, Workspace APIs (Sheets, Drive, Gmail, Calendar), and OAuth2 authentication.
- Strong hands-on expertise in Google BigQuery.
- Proven experience with Google Cloud Platform (GCP) tools and services.
- Good understanding and practical experience with Looker, including reporting, data modeling, and dashboard design.
- Proficiency in Python for data movement or automation tasks.
- Experience working in fast-paced, time-critical project environments.
- Ability to troubleshoot data issues and collaborate effectively with technical architects.
- Strong understanding of Excel/VBA constructs, macros, and common automation patterns.
- Experience designing governance models for Workspace automation at scale.
- Familiarity with GCP components such as BigQuery, Cloud Logging, Pub/Sub, and Artifact Registry (preferred but not mandatory).
- Strong ability to collaborate with business teams and translate requirements into practical technical frameworks.
- Excellent communication and stakeholder management skills.
- Ability to simplify technical concepts for business audiences.
- Mentorship mindset; calm under pressure; structured and analytical.
Salary (Rate): undetermined
City: London Area
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Mandatory skills: Migration, VBA macros to App Scripts
Work Location: UK (Remote in UK)
Duration: 6 months
Other nice to have skills: HTML Service, triggers, Sheets API, Drive API, and Gmail API
Job Description:- 7–12 years of experience in enterprise IT, with at least 3+ years focused on Google Workspace or Google Cloud automation. Deep expertise in Google Apps Script, Workspace APIs (Sheets, Drive, Gmail, Calendar), and OAuth2 authentication. Strong hands-on expertise in Google BigQuery. Proven experience with Google Cloud Platform (GCP) tools and services. Good understanding and practical experience with Looker, including reporting, data modelling, and dashboard design. Proficiency in Python for data movement or automation tasks. Experience working in fast-paced, time-critical project environments. Ability to troubleshoot data issues and collaborate effectively with technical architects. Strong understanding of Excel/VBA constructs, macros, and common automation patterns. Experience designing governance models for Workspace automation at scale. Familiarity with GCP components such as BigQuery, Cloud Logging, Pub/Sub, and Artifact Registry (preferred but not mandatory). Strong ability to collaborate with business teams and translate requirements into practical technical frameworks. Excellent communication and stakeholder management skills. Ability to simplify technical concepts for business audiences. Mentorship mindset; calm under pressure; structured and analytical.
Duties to be performed:- Work with large datasets previously managed through macros and migrate/optimize them using BigQuery. Develop data models, queries, and optimised pipelines within the Google Cloud environment. Build, design, and enhance Looker dashboards/reports for business visualisation needs. Use Python scripts to manage and automate data movement between systems (limited to ETL/ELT tasks). Collaborate closely with the client’s onsite Google Architect to clarify and resolve technical questions. Work as an internal resource within the client’s environment, following their access and compliance protocols. Ensure all work adheres to active confidentiality agreements and data security standards. Support project kick-off, assist with rapid onboarding, and contribute to a fast-paced delivery environment.