Jobs / Capgemini
Salesforce Data Cloud Architect
Capgemini · Mississauga, ON, Canada
Mississauga, ON, CanadaExp: 8+ yrs83,144-195,060 CAD/yearlyHybrid
Remuneration
83,144-195,060 CAD/yearly
Location
Mississauga, ON, Canada
Visa sponsorship
Not specified
Job summary
The Data Cloud Architect is the senior technical authority for the Identity Resolution program, responsible for designing and governing the end-to-end Salesforce Data Cloud solution. This client-facing role requires 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.
Benefits
Paid time offVacationCompany paid holidaysPersonal DaysSick LeaveMedical coverageDental coverageVision coverageRetirement savings plansLife insuranceDisability insuranceEmployee assistance programs
Qualifications
- 8+ years in data architecture with hands-on experience in Salesforce Data Cloud/CDP
- Strong knowledge of identity resolution (deterministic, probabilistic, fuzzy matching)
- Experience in data modeling, unified customer profiles, and large-scale data solutions
- Familiarity with data integration patterns (batch and real-time), APIs, and ETL/ELT processes
- Exposure to retail or consumer-facing data environments and cloud platforms (AWS/Azure/GCP)
- Proven client-facing consulting experience with strong stakeholder management
- Ability to translate business requirements into technical solutions
- Strong analytical, problem-solving, and decision-making skills
- Experience leading cross-functional and offshore teams
- Excellent communication and presentation abilities
Responsibilities
- Design end-to-end Data Cloud solution architecture, including unified profile schema, Data Model Objects (DMOs), Data Lake Objects (DLOs), and identity resolution ruleset framework
- Define identity resolution strategy for multi-source retail environment, governing identifier prioritization, weighting, and reconciliation into a single authoritative customer profile
- Configure and validate match rule thresholds in Data Cloud, balancing precision against recall, with attention to household-level grouping logic
- Design data ingestion architecture, defining batch versus near-real-time ingestion patterns, Data Service Credit optimization strategy, and source-to-target mapping standards
- Establish technical governance standards for offshore delivery team, including architecture decision records, integration patterns, data quality thresholds, naming conventions, and configuration review sign-off
- 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 methodology for measuring and reporting identity graph quality
- Monitor and control Data Cloud credit consumption, defining ingestion frequency, profile unification cadence, and segmentation refresh schedules to manage cost
Skills
AWSAzureGCP
Travel
Required within the GTA as needed
Industry
RetailConsumer-Facing Industries
Relocation
No