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Client Data Cloud ArchitecteTeam • Toronto, ON
Client Data Cloud Architect

Client Data Cloud Architect

eTeam • Toronto, ON
23 hours ago
Job type
  • Full-time
Job description

Role: Client Data Cloud Architect
Location: Toronto Onsite Office

Client Architecture, Data Cloud, Marketing/CPRS domain knowledge
Role Overview:

The Data Cloud Architect is the senior technical authority for the Identity Resolution programme, responsible for designing and governing the end-to-end Client Data Cloud solution. This is a client-facing role requiring deep hands-on experience with enterprise-scale Data Cloud deployments in retail or consumer-facing industries. The Architect defines the resolution strategy — spanning deterministic, probabilistic, and household-level identity matching — and ensures the overall solution is technically sound, scalable, and fit for production at large customer graph volumes.

Key Responsibilities:

  • Design the end-to-end Data Cloud solution architecture — including unified profile schema, Data Model Objects (DMOs), Data Lake Objects (DLOs), and the identity resolution ruleset framework covering deterministic matching (exact email, phone, loyalty ID), fuzzy/normalised matching, and probabilistic scoring across incomplete or low-signal customer records.
  • Define the identity resolution strategy for a multi-source retail environment — governing how identifiers from loyalty, POS, e-commerce, and digital behavioural channels are prioritised, weighted, and reconciled into a single authoritative customer profile.
  • Configure and validate match rule thresholds in Data Cloud — balancing precision (avoiding false merges) against recall (maximising graph coverage), with specific attention to household-level grouping logic where shared address, device, or payment signals are used to link individual profiles.
  • Design the data ingestion architecture — defining batch versus near-real-time ingestion patterns, Data Service Credit optimisation strategy, and source-to-target mapping standards for all contributing data streams.
  • Establish technical governance standards for the offshore delivery team — architecture decision records, integration patterns, data quality thresholds, naming conventions, and configuration review sign-off before promotion to UAT or production.
  • Lead technical solutioning sessions with client IT, data engineering, and analytics stakeholders — translating business identity and activation requirements into Data Cloud configuration and integration specifications.
  • Own resolution quality benchmarking — defining match rate KPIs (deterministic rate overall resolution rate household linkage rate) and the methodology for measuring and reporting identity graph quality throughout the programme.
  • Monitor and control Data Cloud credit consumption — defining ingestion frequency, profile unification cadence, and segmentation refresh schedules to manage cost as data volumes and use case scope expand.
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Client Data Cloud Architect • Toronto, ON

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