Looker + Google BigQuery Architect

Overview

On Site
Depends on Experience
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 12 Month(s)

Skills

Google BigQuery Architect
Looker
LookML
GCP
Governance
Security
AI/ML

Job Details

Role: Looker + Google BigQuery Architect

Location: San Ramon, California - onsite

Duration: 12+ Months

Experience: 10 14 years (minimum 4 5 years in Looker & Google Cloud Platform Data Stack)

About the Role

We are looking for an experienced Looker + GBQ Architect to lead analytics solutioning, architecture design, and performance optimization across our enterprise-scale data ecosystem. The ideal candidate should have a strong foundation in data modeling, LookML, and Google Cloud Platform (BigQuery, Cloud Composer, Dataflow, Pub/Sub) with the ability to work directly with business stakeholders, data engineers, and visualization teams.

This role will anchor our BI modernization journey for Data Engineering AMS and Looker Functional teams, ensuring scalable, secure, and performant data analytics delivery.

Key skills

1. Solution Architecture & Design

Design and implement end-to-end Looker + GBQ architecture, ensuring scalability and alignment with enterprise data strategy.

Define semantic layer, LookML models, and reusable data components for cross-functional BI use cases.

Create and enforce best practices for data modeling, partitioning, and optimization in BigQuery.

2. Development & Implementation

Lead Looker dashboard and data model development for business-critical functions (Finance, Sales, Product).

Collaborate with DE & BI teams to define data pipelines feeding Looker, ensuring freshness, lineage, and consistency.

Enable parameterized and governed exploration within Looker for end-users and analysts.

3. Governance, Security & Performance

Implement row-level and column-level security models in Looker and GBQ.

Optimize query performance and cost management within GBQ.

Drive monitoring, logging, and SLA adherence for Looker reports and data sources.

Establish automated health checks and observability dashboards across BI environments.

4. Collaboration & Leadership

Work closely with product owners, business analysts, and DE teams to translate business KPIs into scalable data models.

Mentor and guide the Looker Functional Team and ensure alignment with global data architecture standards.

Contribute to the data governance framework, ensuring compliance with enterprise and regulatory guidelines.

5. Continuous Improvement & Innovation

Evaluate and integrate AI/ML and advanced analytics within Looker/GBQ ecosystem where applicable.

Identify opportunities to automate operational reporting and ticket workflows (e.g., integration with Wolken or JIRA).

Drive adoption of modern Looker features (Looker Blocks, Looker API, embedded analytics).

Required Skills

Strong proficiency in:

Looker, LookML, and Looker API

Google BigQuery, Dataform / dbt, Cloud Composer, Pub/Sub

SQL optimization and cost-efficient query structuring

Experience with:

Building scalable semantic models and data marts

Implementing BI and data access governance

Cross-functional collaboration with Data Engineering and Cloud Ops

Soft Skills: Excellent communication, stakeholder management, mentoring, and problem-solving ability.

Preferred Qualifications

Looker Certification (LookML Developer / Looker Business Analyst)

Google Cloud Professional Data Engineer / Architect certification

Experience in AMS / Managed Service environment or data product operations.

Exposure to Snowflake / dbt migration to GBQ is a plus.

Regards,

Nick Arthur (Nizam)

Associate Director, Recruitment

Pull Skill Technologies Inc.

Direct: +1 551-272-o197

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