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Role Summary

We are seeking a Senior Looker Administrator (Looker SME) with deep expertise in enterprise-scale analytics environments. The ideal candidate will play a key role in stabilizing platform operations, supporting cloud migration initiatives, enabling API-driven AI use cases, and transferring knowledge to internal teams to build sustainable long-term capabilities. This role is critical to mitigating operational risk, delivery challenges, and platform instability during these transformations.

Key Responsibilities

Provide L3/L4 production support for Looker environments (Dev & Prod)Lead and validate platform upgrades, releases, and patchingManage and optimize LookML development lifecycle and GitHub-based workflowsDiagnose and resolve complex performance, query, and modeling issuesImplement automated user provisioning and entitlement managementResolve access issues including azure AD group synchronizationEstablish and document governance frameworks and best practicesSupport and extend Looker APIs, including: Inline Queries, Query ID, Admin APIsAnalyze and optimize performance, concurrency, and usage patternsEnable API-driven AI use cases, including dynamic SQL generationDefine and execute test strategies for migration from customer-hosted to Google-hosted LookerSupport POC execution with minimal business disruptionSupport Teradata to Snowflake migration validation via Looker

Required Qualifications

7+ years of experience in Analytics / BI Engineering4+ years of hands-on Looker experience in enterprise environmentsExpert-level proficiency in:LookML developmentLooker Dev/Prod lifecycle managementGitHub-based CI/CD workflowsStrong experience with Looker APIs (Inline Queries, SDKs, Admin APIs)Proven experience supporting platforms with 1,000+ usersSolid understanding of identity and access management systems (Azure AD preferred)

GCS is acting as an Employment Business in relation to this vacancy.

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Role Summary

We are seeking a Senior Looker Administrator (Looker SME) with deep expertise in enterprise-scale analytics environments. The ideal candidate will play a key role in stabilizing platform operations, supporting cloud migration initiatives, enabling API-driven AI use cases, and transferring knowledge to internal teams to build sustainable long-term capabilities. This role is critical to mitigating operational risk, delivery challenges, and platform instability during these transformations.

Key Responsibilities

Provide L3/L4 production support for Looker environments (Dev & Prod)Lead and validate platform upgrades, releases, and patchingManage and optimize LookML development lifecycle and GitHub-based workflowsDiagnose and resolve complex performance, query, and modeling issuesImplement automated user provisioning and entitlement managementResolve access issues including azure AD group synchronizationEstablish and document governance frameworks and best practicesSupport and extend Looker APIs, including: Inline Queries, Query ID, Admin APIsAnalyze and optimize performance, concurrency, and usage patternsEnable API-driven AI use cases, including dynamic SQL generationDefine and execute test strategies for migration from customer-hosted to Google-hosted LookerSupport POC execution with minimal business disruptionSupport Teradata to Snowflake migration validation via Looker

Required Qualifications

7+ years of experience in Analytics / BI Engineering4+ years of hands-on Looker experience in enterprise environmentsExpert-level proficiency in:LookML developmentLooker Dev/Prod lifecycle managementGitHub-based CI/CD workflowsStrong experience with Looker APIs (Inline Queries, SDKs, Admin APIs)Proven experience supporting platforms with 1,000+ usersSolid understanding of identity and access management systems (Azure AD preferred)

GCS is acting as an Employment Business in relation to this vacancy.

Read less

Role Summary

We are seeking a Senior Looker Administrator (Looker SME) with deep expertise in enterprise-scale analytics environments. The ideal candidate will play a key role in stabilizing platform operations, supporting cloud migration initiatives, enabling API-driven AI use cases, and transferring knowledge to internal teams to build sustainable long-term capabilities. This role is critical to mitigating operational risk, delivery challenges, and platform instability during these transformations.

Key Responsibilities

Provide L3/L4 production support for Looker environments (Dev & Prod)Lead and validate platform upgrades, releases, and patchingManage and optimize LookML development lifecycle and GitHub-based workflowsDiagnose and resolve complex performance, query, and modeling issuesImplement automated user provisioning and entitlement managementResolve access issues including azure AD group synchronizationEstablish and document governance frameworks and best practicesSupport and extend Looker APIs, including: Inline Queries, Query ID, Admin APIsAnalyze and optimize performance, concurrency, and usage patternsEnable API-driven AI use cases, including dynamic SQL generationDefine and execute test strategies for migration from customer-hosted to Google-hosted LookerSupport POC execution with minimal business disruptionSupport Teradata to Snowflake migration validation via Looker

Required Qualifications

7+ years of experience in Analytics / BI Engineering4+ years of hands-on Looker experience in enterprise environmentsExpert-level proficiency in:LookML developmentLooker Dev/Prod lifecycle managementGitHub-based CI/CD workflowsStrong experience with Looker APIs (Inline Queries, SDKs, Admin APIs)Proven experience supporting platforms with 1,000+ usersSolid understanding of identity and access management systems (Azure AD preferred)

GCS is acting as an Employment Business in relation to this vacancy.

Read less

Role Summary

We are seeking a Senior Looker Administrator (Looker SME) with deep expertise in enterprise-scale analytics environments. The ideal candidate will play a key role in stabilizing platform operations, supporting cloud migration initiatives, enabling API-driven AI use cases, and transferring knowledge to internal teams to build sustainable long-term capabilities. This role is critical to mitigating operational risk, delivery challenges, and platform instability during these transformations.

Key Responsibilities

Provide L3/L4 production support for Looker environments (Dev & Prod)Lead and validate platform upgrades, releases, and patchingManage and optimize LookML development lifecycle and GitHub-based workflowsDiagnose and resolve complex performance, query, and modeling issuesImplement automated user provisioning and entitlement managementResolve access issues including azure AD group synchronizationEstablish and document governance frameworks and best practicesSupport and extend Looker APIs, including: Inline Queries, Query ID, Admin APIsAnalyze and optimize performance, concurrency, and usage patternsEnable API-driven AI use cases, including dynamic SQL generationDefine and execute test strategies for migration from customer-hosted to Google-hosted LookerSupport POC execution with minimal business disruptionSupport Teradata to Snowflake migration validation via Looker

Required Qualifications

7+ years of experience in Analytics / BI Engineering4+ years of hands-on Looker experience in enterprise environmentsExpert-level proficiency in:LookML developmentLooker Dev/Prod lifecycle managementGitHub-based CI/CD workflowsStrong experience with Looker APIs (Inline Queries, SDKs, Admin APIs)Proven experience supporting platforms with 1,000+ usersSolid understanding of identity and access management systems (Azure AD preferred)

GCS is acting as an Employment Business in relation to this vacancy.

Read less

Role Summary

We are seeking a Senior Looker Administrator (Looker SME) with deep expertise in enterprise-scale analytics environments. The ideal candidate will play a key role in stabilizing platform operations, supporting cloud migration initiatives, enabling API-driven AI use cases, and transferring knowledge to internal teams to build sustainable long-term capabilities. This role is critical to mitigating operational risk, delivery challenges, and platform instability during these transformations.

Key Responsibilities

Provide L3/L4 production support for Looker environments (Dev & Prod)Lead and validate platform upgrades, releases, and patchingManage and optimize LookML development lifecycle and GitHub-based workflowsDiagnose and resolve complex performance, query, and modeling issuesImplement automated user provisioning and entitlement managementResolve access issues including azure AD group synchronizationEstablish and document governance frameworks and best practicesSupport and extend Looker APIs, including: Inline Queries, Query ID, Admin APIsAnalyze and optimize performance, concurrency, and usage patternsEnable API-driven AI use cases, including dynamic SQL generationDefine and execute test strategies for migration from customer-hosted to Google-hosted LookerSupport POC execution with minimal business disruptionSupport Teradata to Snowflake migration validation via Looker

Required Qualifications

7+ years of experience in Analytics / BI Engineering4+ years of hands-on Looker experience in enterprise environmentsExpert-level proficiency in:LookML developmentLooker Dev/Prod lifecycle managementGitHub-based CI/CD workflowsStrong experience with Looker APIs (Inline Queries, SDKs, Admin APIs)Proven experience supporting platforms with 1,000+ usersSolid understanding of identity and access management systems (Azure AD preferred)

GCS is acting as an Employment Business in relation to this vacancy.

Read less

Role Summary

We are seeking a Senior Looker Administrator (Looker SME) with deep expertise in enterprise-scale analytics environments. The ideal candidate will play a key role in stabilizing platform operations, supporting cloud migration initiatives, enabling API-driven AI use cases, and transferring knowledge to internal teams to build sustainable long-term capabilities. This role is critical to mitigating operational risk, delivery challenges, and platform instability during these transformations.

Key Responsibilities

Provide L3/L4 production support for Looker environments (Dev & Prod)Lead and validate platform upgrades, releases, and patchingManage and optimize LookML development lifecycle and GitHub-based workflowsDiagnose and resolve complex performance, query, and modeling issuesImplement automated user provisioning and entitlement managementResolve access issues including azure AD group synchronizationEstablish and document governance frameworks and best practicesSupport and extend Looker APIs, including: Inline Queries, Query ID, Admin APIsAnalyze and optimize performance, concurrency, and usage patternsEnable API-driven AI use cases, including dynamic SQL generationDefine and execute test strategies for migration from customer-hosted to Google-hosted LookerSupport POC execution with minimal business disruptionSupport Teradata to Snowflake migration validation via Looker

Required Qualifications

7+ years of experience in Analytics / BI Engineering4+ years of hands-on Looker experience in enterprise environmentsExpert-level proficiency in:LookML developmentLooker Dev/Prod lifecycle managementGitHub-based CI/CD workflowsStrong experience with Looker APIs (Inline Queries, SDKs, Admin APIs)Proven experience supporting platforms with 1,000+ usersSolid understanding of identity and access management systems (Azure AD preferred)

GCS is acting as an Employment Business in relation to this vacancy.

Read less

Role Summary

We are seeking a Senior Looker Administrator (Looker SME) with deep expertise in enterprise-scale analytics environments. The ideal candidate will play a key role in stabilizing platform operations, supporting cloud migration initiatives, enabling API-driven AI use cases, and transferring knowledge to internal teams to build sustainable long-term capabilities. This role is critical to mitigating operational risk, delivery challenges, and platform instability during these transformations.

Key Responsibilities

Provide L3/L4 production support for Looker environments (Dev & Prod)Lead and validate platform upgrades, releases, and patchingManage and optimize LookML development lifecycle and GitHub-based workflowsDiagnose and resolve complex performance, query, and modeling issuesImplement automated user provisioning and entitlement managementResolve access issues including azure AD group synchronizationEstablish and document governance frameworks and best practicesSupport and extend Looker APIs, including: Inline Queries, Query ID, Admin APIsAnalyze and optimize performance, concurrency, and usage patternsEnable API-driven AI use cases, including dynamic SQL generationDefine and execute test strategies for migration from customer-hosted to Google-hosted LookerSupport POC execution with minimal business disruptionSupport Teradata to Snowflake migration validation via Looker

Required Qualifications

7+ years of experience in Analytics / BI Engineering4+ years of hands-on Looker experience in enterprise environmentsExpert-level proficiency in:LookML developmentLooker Dev/Prod lifecycle managementGitHub-based CI/CD workflowsStrong experience with Looker APIs (Inline Queries, SDKs, Admin APIs)Proven experience supporting platforms with 1,000+ usersSolid understanding of identity and access management systems (Azure AD preferred)

GCS is acting as an Employment Business in relation to this vacancy.

Read less

Role Summary

We are seeking a Senior Looker Administrator (Looker SME) with deep expertise in enterprise-scale analytics environments. The ideal candidate will play a key role in stabilizing platform operations, supporting cloud migration initiatives, enabling API-driven AI use cases, and transferring knowledge to internal teams to build sustainable long-term capabilities. This role is critical to mitigating operational risk, delivery challenges, and platform instability during these transformations.

Key Responsibilities

Provide L3/L4 production support for Looker environments (Dev & Prod)Lead and validate platform upgrades, releases, and patchingManage and optimize LookML development lifecycle and GitHub-based workflowsDiagnose and resolve complex performance, query, and modeling issuesImplement automated user provisioning and entitlement managementResolve access issues including azure AD group synchronizationEstablish and document governance frameworks and best practicesSupport and extend Looker APIs, including: Inline Queries, Query ID, Admin APIsAnalyze and optimize performance, concurrency, and usage patternsEnable API-driven AI use cases, including dynamic SQL generationDefine and execute test strategies for migration from customer-hosted to Google-hosted LookerSupport POC execution with minimal business disruptionSupport Teradata to Snowflake migration validation via Looker

Required Qualifications

7+ years of experience in Analytics / BI Engineering4+ years of hands-on Looker experience in enterprise environmentsExpert-level proficiency in:LookML developmentLooker Dev/Prod lifecycle managementGitHub-based CI/CD workflowsStrong experience with Looker APIs (Inline Queries, SDKs, Admin APIs)Proven experience supporting platforms with 1,000+ usersSolid understanding of identity and access management systems (Azure AD preferred)

GCS is acting as an Employment Business in relation to this vacancy.

Read less