Overview

Modern Salesforce implementations span multiple clouds (Sales, Service, Marketing), ERP systems, data lakes, and SaaS tools. Without deliberate data architecture, teams face slow queries, duplicate records, brittle integrations, and audit risk. This course teaches you to design scalable Salesforce data models and connect them safely to the enterprise. Through hands-on labs, you'll practice selecting the right sync/async integration patterns, building governed ERDs, applying field-level security and sharing policies, crafting selective queries with custom indexes, orchestrating bulk migrations, and monitoring with Event Monitoring dashboards. This course is designed for Salesforce professionals and aspiring architects who want to master data architecture and integration at an advanced, job-ready level. Learners should be familiar with Salesforce Admin basics, SOQL, relational DB concepts, JSON/XML, and HTTP fundamentals. Requires: Dev Org, Postman, Salesforce CLI installed. By the end, you'll deliver a production-ready architecture blueprint with a governed data model, integration contracts, migration plan, and operational metrics ready to scale in enterprise environments.

Syllabus

Data Modeling & Governance Fundamentals

Master enterprise Salesforce data architecture from modeling to production governance. Apply entity design patterns, ERD best practices, and Schema Builder diagrams; implement security controls (Profiles, Permission Sets, OWD, role hierarchy, sharing rules, FLS, validation rules) distinguishing field- vs. record-level access. Optimize Large Data Volumes with Query Plan, indexes, skinny tables, and big objects, showing measurable SOQL performance improvements.

Integration Patterns & Platform APIs

Architect production-grade Salesforce integrations by mastering sync (REST/SOAP, authentication, Named Credentials, External Services, idempotency, retries) and async/event-driven patterns (Platform Events, CDC, durable subscribers, delivery guarantees, DLQs). Apply sync vs. async decision matrices based on timing, volume, coupling, error handling, and use cases. Execute large-scale data migration with Bulk API 2.0, leveraging CSV compression, upserts, parent/child sequencing, reference data mapping, job monitoring, partial failure handling, and Async SOQL for massive datasets.

Data Quality, Observability & Operating at Scale

Establish production-ready data quality, compliance-grade security, and operational observability for enterprise Salesforce. Implement data quality controls: Matching and Duplicate Rules, Duplicate Jobs, cross-object validations, Flow vs. Apex logic, and merge strategies with master/child record handling. Deploy Shield-grade security: Platform/Classic Encryption, Field Audit Trail, Event Monitoring, and Transaction Security policies. Operationalize with dashboards and incident response: monitor API/errors, bulk job failures, validation/duplicate trends, set SLOs/error budgets, implement alerts via Reports or monitoring tools, and document runbooks with triage, RACI, rollback, and success criteria.