Senior Consultant - GCP Data & AI Architect

Job Type: Permanent Work Model: Hybrid Reference code: 135133 Primary Location: Toronto, ON All Available Locations: Toronto, ON; Brossard, QC; Burlington, ON; Calgary, AB; Edmonton, AB; Fredericton, NB; Halifax, NS; Kitchener, ON; Laval, QC; Moncton, NB; Montreal, QC; Ottawa, ON; Quebec City, QC; Regina, SK; Saint John, NB; Saskatoon, SK; St. John's, NL; Vancouver, BC; Victoria, BC; Winnipeg, MB Our Purpose At Deloitte, our Purpose is to make an impact that matters. We exist to inspire and help our people, organizations, communities, and countries to thrive by building a better future. Our work underpins a prosperous society where people can find meaning and opportunity. It builds consumer and business confidence, empowers organizations to find imaginative ways of deploying capital, enables fair, trusted, and functioning social and economic institutions, and allows our friends, families, and communities to enjoy the quality of life that comes with a sustainable future. And as the largest 100% Canadian-owned and operated professional services firm in our country, we are proud to work alongside our clients to make a positive impact for all Canadians. By living our Purpose, we will make an impact that matters. • Have many careers in one Firm. • Enjoy flexible, proactive, and practical benefits that foster a culture of well-being and connectedness. • Learn from deep subject matter experts through mentoring and on the job coaching -- Aimez-vous créer des plateformes de données qui rendent l’analytique et l’IA réellement fiables? Joignez-vous à l’équipe Ingénierie infonuagique de Deloitte Canada et dirigez la modernisation des données des clients sur Google Cloud, le fondement dont nos clients ont besoin avant que les agents, l’apprentissage machine et le soutien à la prise de décisions puissent concrétiser leur promesse. What will your typical day look like? As our ideal candidate, you will combine deep GCP technical expertise with client-facing consulting skills. On a typical engagement you will: • Architect and lead delivery of modern data platforms on Google Cloud — data lakes, lakehouses, and warehouses built on BigQuery, Dataproc, Dataflow, Cloud Storage, and Pub/Sub. • Design ingestion, transformation, and serving layers using Dataform / dbt, Composer (Airflow), and BigQuery-native patterns; drive migrations from Teradata, Netezza, on-prem Hadoop, or other clouds. • Stand up the governance backbone — Dataplex catalog, lineage, quality rules, row/column-level security, VPC-SC — so downstream analytics and AI workloads are safe and auditable. • Partner with our GCP Agent Platform Architects to make the semantic layer, retrieval indices, and feature stores that Gemini agents and Vertex AI models depend on. • Lead 2–4 engineers on the delivery team; contribute to Deloitte's data-platform reference architectures, accelerators, and enablement. About the team The focus and passion of Deloitte's Cloud Engineering practice is to help our clients become a place where their employees are passionate about the work they do, and can dramatically accelerate the speed at which they deliver value. We are a specialized capability within our technology consulting practice in Canada, focused on the technical, organizational, and cultural elements that must be considered when helping our clients embrace the Cloud mindset. With an established foothold in the Cloud domain, we are excited to be growing our Google Cloud footprint — including Gemini Enterprise agentic solutions — to continue to enable our clients. Our key clients span industries including financial services, energy and resources, consumer and retail, digital-native, and public sector. Enough about us, let’s talk about you This is a Senior Consultant role: 7–10 years of total experience with 4–6 years hands-on on Google Cloud (or equivalent cloud with a credible GCP transition path). You will lead workstreams and mentor 2–4 junior team members while working under the direction of a Manager or Senior Manager. Qualifications • 7–10 years total technology experience; 4–6 years hands-on delivering data platforms on Google Cloud. • Working knowledge of Gemini Enterprise and the Vertex AI stack — Vertex AI Search, embeddings and vector indices, grounding on BigQuery / Cloud Storage — and a clear point of view on how to expose enterprise data to agents safely. • Understanding of the data-foundation prerequisites for agentic AI: canonical semantic layer, entity resolution, metadata and lineage, row/column-level access controls that carry through to agent-time retrieval. • Deep hands-on with BigQuery (partitioning, clustering, materialized views, BI Engine, cost governance), Dataproc, Dataflow (Apache Beam), Cloud Storage, and Pub/Sub. • Experience with transformation and orchestration tooling: Dataform, dbt, Cloud Composer / Airflow. • Strong data-modeling skills — dimensional, Data Vault, and modern lakehouse patterns; comfortable choosing between them for the client's use case. • Governance and security fluency: Dataplex, IAM, VPC-SC, CMEK, DLP, row/column access policies. • Proficient in SQL and Python; comfortable with Terraform for infrastructure as code. • Track record of leading a data workstream through discovery, design, build, and hypercare on at least two enterprise engagements. • Strong client-facing communication and stakeholder management. Good to have • GCP certification (Professional Data Engineer or Professional Cloud Architect). • Experience with streaming architectures (Pub/Sub + Dataflow, Kafka on GKE). • Exposure to real-time features for ML and agentic use cases. • Familiarity with Databricks-on-GCP or Snowflake-on-GCP interop scenarios. • Prior professional-services or regulated-industry (financial services, public sector, healthcare) experience. • Security Clearance (Reliability / Secret) Quebec Locations: Bilingualism in French and English is required for this position due to the nature of t