Google Looker Technical Architect

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About the role you're considering

We are seeking a Google Looker Technical Architect to lead enterprise analytics and data modernization initiatives built on Google Cloud Platform (GCP), Big Query, Looker, and Gemini-powered analytics . As the technical leader for client engagements, you will define solution architecture, design scalable semantic layers, establish governance standards, lead BI modernization programs, and enable AI-powered analytics capabilities. You will partner with business stakeholders, data engineers, analytics teams, and executives to deliver trusted, scalable, and AI-ready analytics solutions.

We are seeking a Google Looker Technical Architect to lead enterprise analytics and data modernization initiatives built on Google Cloud Platform (GCP), Big Query, Looker, and Gemini-powered analytics . As the technical leader for client engagements, you will define solution architecture, design scalable semantic layers, establish governance standards, lead BI modernization programs, and enable AI-powered analytics capabilities. You will partner with business stakeholders, data engineers, analytics teams, and executives to deliver trusted, scalable, and AI-ready analytics solutions.

Your role Define end-to-end analytics architecture leveraging Looker, Big Query, 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, Business Objects, Micro Strategy, 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.

Skills and experience

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, Big Query, 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.

Strong communication and consulting skills with the ability to engage technical and business stakeholders.

The base compensation range for this role in the posted location is: $109,180 - $197,158.Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting.

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