Looker Platform Admin: Cloud Analytics & IAM Expert

GCS Recruitment; Baltimore (MD); On-site; USD 110,000 - 170,000; Full time

Job summary

GCS Recruitment in Baltimore, MD seeks an experienced Looker Platform Administrator to support a large-scale analytics environment with focus on Looker administration, LookML development, platform operations, and cloud migration.

The role requires expertise with GitHub version control, CI/CD deployments, Azure AD identity management, and API-driven analytics. Collaborate with engineering teams to optimize performance, governance, and data access across the data platform.

Qualifications

• Bachelor's degree in a related field.
• 5+ years of experience administering BI/Analytics platforms.
• Hands‑on experience with 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 and resolve 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.
• Define, execute, and validate testing strategies for migration initiatives.
• Participate in proof-of-concept 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.

Skills

Looker Administration

LookML Development

GitHub & Version Control

SQL Performance Tuning

REST APIs

Azure AD

IAM

Cloud Analytics Platforms

Data Governance

Snowflake

Teradata

Documentation & Knowledge Transfer

Production Support

Platform Upgrades & Release Management

Education

Bachelor's degree in Computer Science/Information Systems/Engineering

Tools

GitHub

CI/CD

Job description

GCS Recruitment in Baltimore, MD seeks an experienced Looker Platform Administrator to support a large-scale analytics environment with focus on Looker administration, LookML development, platform operations, and cloud migration.

The role requires expertise with GitHub version control, CI/CD deployments, Azure AD identity management, and API-driven analytics. Collaborate with engineering teams to optimize performance, governance, and data access across the data platform.