Senior Looker Platform Engineer - Cloud & Data Platform

GCS Recruitment; Conshohocken (Montgomery County); On-site; USD 130,000 - 180,000; Full time

Job summary

GCS Recruitment is seeking a Senior Looker Platform Engineer to join a large-scale analytics environment in Conshohocken, PA. The role centers on Looker administration, LookML development, BI platform support, cloud migration, and performance optimization across development and production environments.

You will drive platform upgrades, manage deployments via GitHub, enforce identity and access controls with Azure AD, and collaborate with data engineers on semantic models and API-driven analytics

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 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 (Inline Query, Query ID, 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 to Google-hosted Looker Core and validate testing strategies.
• Participate in 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 on 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 Admin

LookML Dev

GitHub & CI/CD

SQL Performance

REST APIs

Azure AD

IAM

Cloud Analytics

Data Governance

Snowflake

Teradata

Documentation

Production Support

Release Management

Education

Bachelor's degree in CS/IS/Engineering

Tools

GitHub

CI/CD

Job description

GCS Recruitment is seeking a Senior Looker Platform Engineer to join a large-scale analytics environment in Conshohocken, PA. The role centers on Looker administration, LookML development, BI platform support, cloud migration, and performance optimization across development and production environments.

You will drive platform upgrades, manage deployments via GitHub, enforce identity and access controls with Azure AD, and collaborate with data engineers on semantic models and API-driven analytics