About the role
Senior Consultant role at Deloitte focused on architecting and building an enterprise-wide, cloud-native data platform on Google Cloud Platform. Responsibilities include designing scalable data architectures, developing robust data pipelines, implementing automated data governance, enabling AI/ML use
ConsultingHybridEngineering, AI & Data
Key Responsibilities
- Work you'll do In this role, you will be at the forefront of the AI revolution, architecting and building a next-generation, enterprise-wide data platform on Google Cloud.
- Move beyond traditional data engineering to create a system that is intelligent, automated, and the foundation for our most critical AI and analytics initiatives.
- In this role, you will: Innovate & Build: Design and implement a modern, scalable, and cost-optimized cloud data platform on Google Cloud Platform (GCP) .
- Enable AI & Analytics: Develop robust data pipelines that power everything from self-service analytics to Agentic AI and other advanced machine learning use cases.
- Lead & Mentor (Senior Level): Guide the technical direction of the platform, champion best practices, and mentor a talented team of engineers.
- AI & Machine Learning Enablement (Plus but not required): Experience architecting data solutions that directly support advanced AI/ML use cases, including Conversational BI and intelligent agents.
Requirements
- Additionally, Senior Consultants across our Firm are expected to: Core Data Platform & Architecture: Proven experience designing and building enterprise-scale, cloud-native data platforms.
- GCP experience is required ; strong AWS experience is also valued.
- Hands-on experience with core GCP services, particularly Google BigQuery and its ecosystem (e.g., Dataflow, Cloud Composer, Pub/Sub, Dataplex).
- Data Governance, Quality & BI: Experience implementing enterprise data governance frameworks, including automated data lineage, data catalogs, and granular access controls.
- Proficiency with FinOps principles to ensure cost-efficient architecture and operations.
- AI & Machine Learning Enablement (Plus but not required): Experience architecting data solutions that directly support advanced AI/ML use cases, including Conversational BI and intelligent agents.