Lead Google Looker Architect for AI-Driven Analytics

Capgemini

Atlanta (GA)

On-site

USD 109,000 - 197,000

Full time

3 days ago

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Benefits offered by this job

Paid time off

Holidays

Personal days

Sick leave

Healthcare coverage (Medical, dental,

Vision coverage

401(k) retirement plans

Life and disability insurance

Employee assistance programs

Job summary

Capgemini is seeking a Google Looker Technical Architect to lead enterprise analytics and data modernization on Google Cloud Platform, BigQuery, Looker, and Gemini-powered analytics. You will define solution architecture, design scalable semantic layers, establish governance standards, and enable AI-powered analytics capabilities across the organization.

You will mentor engineers, drive migrations from legacy BI tools, collaborate with stakeholders, and establish governance, performance, and

Qualifications

Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, or related discipline.
8+ years of experience in analytics architecture, BI architecture, data engineering, or enterprise analytics platforms.
3+ years of hands-on Looker and LookML development experience.
Deep expertise in SQL, BigQuery, semantic modeling, and data warehousing concepts.
Proven experience designing enterprise semantic layers and governed metric frameworks.
Experience leading large-scale BI modernization or migration initiatives.

Responsibilities

Define end-to-end analytics architecture leveraging Looker, BigQuery, Dataform, Dataplex, and Google Cloud.
Design and govern enterprise semantic layers, business metrics, KPIs, and security models using LookML.
Architect modern analytics platforms that support self-service analytics, embedded analytics, and AI-powered insights.
Lead migrations from Tableau, Power BI, Cognos, BusinessObjects, MicroStrategy, Qlik, and other BI platforms to Looker.
Design AI-ready semantic foundations supporting Gemini, Conversational Analytics, and agentic AI applications.
Establish best practices for data modeling, performance optimization, CI/CD, governance, and development standards.
Lead architecture workshops, design reviews, and technical strategy discussions with customers and internal teams.
Mentor Forward Deployed Engineers and customer development teams on platform best practices and architectural patterns.
Drive resolution of complex performance, scalability, and technical debt challenges across enterprise analytics environments.