Position Title: Salesforce Data Cloud Developer

Department: Enterprise Data & Analytics Solutions

Location: Toronto, ON (Hybrid / Remote - 2 days per week, eventually 4 days/week)

Type: Contract

Length of Contract: 12 Months

Role Overview

We are seeking a Salesforce Data Cloud Developer to design, build, and optimize enterprise-grade data architecture within Salesforce Data Cloud (formerly Salesforce CDP). In this role, you will help transition our customer data ecosystem from fragmented, batch-processed systems to a unified, real-time data foundation. You will be responsible for building scalable data streams, mapping custom data models, configuring identity resolution rules, and delivering real-time calculated insights to power downstream analytics, AI models, and operational workflows.

Key Responsibilities

• Design, configure, and maintain Salesforce Data Cloud architecture, including Data Lake Objects (DLOs), Data Model Objects (DMOs), and custom attributes.
• Establish identity resolution rulesets, data harmonization strategies, and match-and-merge logic to create accurate, unified entity profiles.
• Develop Calculated Insights, Streaming Insights, and custom data transforms using SQL and Data Cloud formula fields.
• Build, monitor, and maintain high-volume data streams connecting Salesforce Data Cloud with enterprise platforms and cloud storage (e.g., Databricks, Snowflake, AWS S3, MuleSoft).
• Define and manage Data Spaces, access controls, and security policies to support multi-tenant operational needs.
• Collaborate with data engineering and business teams to enable real-time activation, audience segmentation, and downstream integration with analytics tools like Tableau.
• Ensure all data pipelines, models, and transformations strictly adhere to enterprise data governance, lineage tracking, and regulatory compliance standards.

Qualifications

• 3+ years of hands-on experience in Salesforce development, with demonstrated experience specializing in Salesforce Data Cloud.
• High proficiency in SQL, data modeling, schema design, and enterprise data integration patterns.
• Proven experience setting up ingestion APIs, identity resolution rules, data spaces, and calculated insights within Data Cloud.
• Strong background working with cloud data platforms and warehouses (e.g., Databricks, Snowflake, AWS, or Azure).
• Active Salesforce Data Cloud Accredited Professional or Data Cloud Consultant certification preferred.
• Nice to have: Experience working in banking, financial services, or regulated enterprise environments; familiarity with Salesforce Einstein 1 / Agentforce, Marketing Cloud, or Python for data engineering.