Overview

Role Overview We are looking for a Senior Data Engineer specializing in Looker (LookML) to lead the frontend analytics and data modeling layer of a client-facing insights platform. In this role, you will transform raw data from Google Cloud Platform (GCP) into secure, scalable, and actionable insights for external stakeholders. A key focus of this position is managing a complex multi-tenant Looker environment, maintaining a dynamic LookML layer that routes users to their respective BigQuery datasets. You will ensure a one-to-many dashboard architecture remains high-performing, governed, and secure across multiple client deployments.

Responsibilities

Responsibilities Lead the development and maintenance of advanced LookML models, explores, and reusable dashboard frameworks Manage and optimize a multi-tenant Looker instance, ensuring secure client-level dataset routing Implement dynamic access controls using Liquid variables, user attributes, and security filters Design scalable and performant analytics layers on top of BigQuery datasets, supporting complex business use cases Develop and maintain SQL logic leveraging advanced BigQuery features such as window functions and nested/repeated fields Oversee version control workflows for LookML projects, dashboards, and metrics using Git-based branching strategies Administer Looker users, groups, roles, and custom attributes to support client-specific configurations Ensure data governance best practices are applied across modeling, access, and reporting layers Collaborate with cross-functional teams to translate raw GCP data into client-ready insights

Qualifications

Qualifications 3+ years of experience with Looker and LookML, including complex modeling and instance management 4+ years of advanced SQL experience, specifically in Google BigQuery (window functions, nested/repeated fields) 4+ years of hands-on experience working with Google BigQuery in analytics and reporting environments 3+ years of experience with Google Cloud Platform (GCP) and understanding of its resource structures 3+ years of experience using Git for version control, branching, and deployment workflows Proven experience managing multi-tenant BI environments supporting multiple external clients securely within one platform Strong knowledge of Looker dynamic content tools such as Liquid variables, user attributes, and access filters Experience in user administration, including roles, groups, and custom client configurations 2+ years of exposure to broader Business Intelligence (BI) tools and practices Familiarity with Snowflake (1+ year) is a plus Required Skills Google BigQuery (4), Looker (3), SQL (4), Google Cloud Platform (GCP) (3), Git (3), Business Intelligence (BI) (2), Snowflake (1) Years of Experience Needed 5