Senior Looker Platform Engineer - Cloud Modernization

GCS Recruitment

Radnor (Delaware County)

On-site

USD 120,000 - 180,000

Full time

6 days ago

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Job summary

GCS Recruitment in Radnor, PA, seeks a Senior Looker Platform Engineer to lead Looker administration, LookML development, and BI platform governance. You will own platform upgrades, API integrations, cloud migration to Google Cloud, and performance tuning with IAM and data teams. The role requires 5+ years of BI platform experience and strong SQL skills.

The candidate will collaborate with engineering to deliver scalable analytics and ensure secure, efficient data access across the environment.

Qualifications

Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.
5+ years of experience administering BI or 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 troubleshooting complex query performance.
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 automated user provisioning and entitlement management processes.
Investigate and resolve access-related issues, including Azure AD synchronization and entitlement discrepancies.
Create and maintain governance documentation and operational procedures.
Support 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.
Define, execute, and validate testing strategies for migration initiatives.
Participate in PoC activities while minimizing platform risk.
Ensure platform stability, security, and performance during migration efforts.
Collaborate with data engineering teams 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.