Looker Admin

GCS Recruitment; Washington (District of Columbia); On-site; USD 120,000 - 160,000; Full time

Job summary

GCS Recruitment seeks an experienced Looker Administrator / BI Platform Engineer to manage enterprise Looker environments, support production operations, and advance cloud migration and data modernization initiatives.

The ideal candidate will work with Looker, LookML, SQL, GitHub, CI/CD, REST APIs, Azure AD/IAM, and GCP to optimize performance, governance, and access, collaborating with Snowflake and Teradata for unified analytics.

Qualifications

• Experience with Looker administration and BI platform engineering.
• Hands-on with Looker, LookML, SQL, GitHub, CI/CD, REST APIs, Azure AD/IAM, GCP.

Responsibilities

• Administer and provide L3/L4 production support for Looker development and production environments.
• Manage platform upgrades, releases, patches, configurations, and deployments.
• Monitor platform health, availability, usage, concurrency, and performance.
• Troubleshoot complex Looker, data modeling, connectivity, SQL, and performance issues.
• Support LookML development, code reviews, testing, and Dev/Prod deployment workflows.
• Manage GitHub version control and CI/CD processes.
• Manage user provisioning, roles, permissions, groups, and entitlements.
• Support Azure AD/IAM integration and resolve authentication and access issues.
• Establish and maintain platform governance, security standards, and usage guidelines.
• Support Looker REST APIs, including administrative and query-related APIs.
• Enable API-driven reporting, automation, and advanced analytics solutions.
• Support migration from customer-hosted environments to Google-hosted Looker Core.
• Develop and execute migration testing, validation, and rollback strategies.
• Support GCP-based analytics environments and cloud modernization initiatives.
• Work with Snowflake, Teradata, and modern cloud data platforms.
• Validate reporting accuracy, semantic models, query behavior, and data consistency.
• Optimize SQL queries, BI performance, concurrency, and data accessibility.
• Create runbooks, SOPs, troubleshooting guides, and technical documentation.
• Conduct knowledge-transfer sessions and mentor internal engineering teams.
• Support long-term platform ownership and operational process standardization.

Skills

Looker

LookML

SQL

GitHub

CI/CD

REST APIs

Azure AD/IAM

GCP

Cloud analytics platforms

Tools

Snowflake

Teradata

GCP

Job description

We are looking for an experienced Looker Administrator / BI Platform Engineer to manage enterprise Looker environments, support production operations, and contribute to cloud migration, platform modernization, and data transformation initiatives.

The ideal candidate has hands-on experience with Looker, LookML, SQL, GitHub, CI/CD, REST APIs, Azure AD/IAM, GCP, and cloud analytics platforms.

Responsibilities

• Administer and provide L3/L4 production support for Looker development and production environments.
• Manage platform upgrades, releases, patches, configurations, and deployments.
• Monitor platform health, availability, usage, concurrency, and performance.
• Troubleshoot complex Looker, data modeling, connectivity, SQL, and performance issues.
• Support LookML development, code reviews, testing, and Dev/Prod deployment workflows.
• Manage GitHub version control and CI/CD processes.
• Manage user provisioning, roles, permissions, groups, and entitlements.
• Support Azure AD/IAM integration and resolve authentication and access issues.
• Establish and maintain platform governance, security standards, and usage guidelines.
• Support Looker REST APIs, including administrative and query-related APIs.
• Enable API-driven reporting, automation, and advanced analytics solutions.
• Support migration from customer-hosted environments to Google-hosted Looker Core.
• Develop and execute migration testing, validation, and rollback strategies.
• Support GCP-based analytics environments and cloud modernization initiatives.
• Work with Snowflake, Teradata, and modern cloud data platforms.
• Validate reporting accuracy, semantic models, query behavior, and data consistency.
• Optimize SQL queries, BI performance, concurrency, and data accessibility.
• Create runbooks, SOPs, troubleshooting guides, and technical documentation.
• Conduct knowledge-transfer sessions and mentor internal engineering teams.
• Support long-term platform ownership and operational process standardization.

What You Will Learn

• Enterprise-scale Looker administration and BI platform engineering
• GCP and cloud-hosted Looker environments
• Looker APIs, automation, and advanced analytics
• LookML, GitHub, and CI/CD practices
• Enterprise IAM, Azure AD, governance, and security
• Advanced SQL and BI performance optimization
• Snowflake, Teradata, and modern data platforms
• Cloud migration and data modernization
• Semantic modeling and reporting governance
• AI-enabled analytics and API-driven reporting
• Enterprise production support and platform operations

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