Senior Looker Platform Engineer - Cloud & Analytics

GCS Recruitment

United States

On-site

USD 140,000 - 170,000

Full time

6 days ago

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Job summary

GCS Recruitment is seeking an experienced Senior Looker Platform Engineer to support Looker administration, LookML development, and platform operations within a large analytics environment. The role emphasizes platform engineering, cloud migration, governance, and performance optimization.

The candidate will provide L3/L4 production support, lead upgrades, and collaborate on API-driven analytics and security controls while ensuring scalable, secure data delivery across enterprise analytics

Qualifications

Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.
5+ years administering BI/Analytics platforms.
Hands-on Looker administration and LookML development.
Strong knowledge of GitHub version control and CI/CD deployment practices.
Experience with Azure Active Directory (Azure AD) integration and identity management.
Proficiency in REST APIs and platform automation.
Experience supporting cloud-based analytics environments.
Strong SQL skills and experience troubleshooting complex query performance issues.
Excellent problem-solving, communication, and documentation skills.

Responsibilities

Provide L3/L4 production support for Looker environments across development and production platforms.
Lead platform upgrades, releases, patch management, and validation activities.
Support GitHub and LookML development workflows, including Dev/Prod deployments and coordination.
Troubleshoot and resolve complex performance, scalability, and data modeling issues.
Monitor platform health, reliability, and operational performance.
Implement and maintain automated user provisioning and entitlement management processes.
Investigate access-related issues, including Azure AD synchronization and entitlement discrepancies.
Establish governance standards, security controls, and platform usage guidelines.
Create and maintain governance documentation and operational procedures.
Support and administer Looker APIs, including Inline Query APIs, Query ID APIs, and Administrative APIs.
Validate platform performance, concurrency, and usage patterns.
Enable API-driven analytics initiatives and AI-powered reporting solutions.
Collaborate with engineering teams to support dynamic SQL generation and advanced automation requirements.
Support migration activities from customer-hosted environments to Google-hosted Looker Core.
Define, execute, and validate testing strategies for migration initiatives.
Participate in proof-of-concept (POC) activities while minimizing platform risk.
Ensure platform stability, security, and performance during migration efforts.
Support query validation and reporting consistency across modern cloud data platforms.
Collaborate with data engineering to standardize semantic models, query behavior, and performance expectations.
Validate data accuracy and reporting outcomes during platform transformation projects.
Optimize reporting performance and data accessibility across enterprise analytics environments.
Develop comprehensive documentation, runbooks, operational procedures, and best practices.
Conduct knowledge transfer sessions and mentor internal engineering teams.
Support long-term platform ownership transition through training and process standardization.
Maintain technical documentation for administration, troubleshooting, and operational support.