About the role

Salesforce Solutions Architect specializing in Data Engineering at Pottencial, integrating Salesforce with analytical platforms. Leading governance and scalable solutions in CRM environments.

Responsibilities

Define, evolve and govern solutions involving:
Sales Cloud (pipeline, leads, opportunities, forecasting)
Service Cloud (cases, omnichannel, SLAs, knowledge)
Marketing Cloud (journeys, automations, segmentation)
Financial Services Cloud (data model, financial profiles, 360° customer view)
Build solutions that connect Salesforce with business systems, billing, transactional engines and analytics platforms
Lead integrations between Salesforce and enterprise systems (REST, events, middleware, streaming)
Ensure governance, versioning, traceability and security best practices
Design efficient flows using Apex, LWC, Flows and automations
Work with enterprise data models to ensure consistency, quality and governance between Salesforce and the analytics ecosystem
Support the data team in CRM data ingestion, transformation and integration processes
Work on CDC, replication, segmentation, enrichment and standardization of information between Salesforce and the Data Platform
Understand how data from Salesforce can be structured, loaded and transformed in Snowflake
Support decisions on analytical modeling, performance and data pipelines integrated with the platform
Collaborate with data engineers and architects to define layers, contracts and corporate governance
Work with product, data, marketing, support and sales teams to connect business strategy with scalable solutions
Actively participate in the CRM roadmap and data architecture evolution.

Strong experience in Salesforce Architecture (Sales, Service, Marketing and FSC)
Proficiency in data models, automations, Apex, LWC, SOQL and development/configuration best practices
Experience with enterprise integrations (REST, APIs, events, middleware)
Knowledge of Data Engineering: pipelines, modeling, quality and governance
Understanding of analytical structures, ETL/ELT, CDC and integration between CRM and Data Platform
Familiarity with security best practices: profiles, permission sets, sharing rules, roles
Knowledge of Snowflake (modeling, performance, ingestion and integration with Salesforce)
Salesforce certifications (Architect, Consultant, Platform Developer, FSC)
Experience with Data Cloud (Customer 360)
Experience in financial services, insurance or products with high data complexity
Knowledge of event-driven architecture.