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 Responsibilities
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.
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