Salesforce Data Cloud Solution Architect

Salesforce Data Cloud Solution Architect

2 days ago Be among the first 25 applicants

This range is provided by Coforge. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$150,000.00 / yr - $160,000.00 / yr

Job Title / Role : Salesforce Data Cloud Solution Architect

Key Skills : Salesforce Data Cloud, CRM Analytics, Salesforce Data Models

Experience : 15+

Shift : General

Mode : On-Site

We at Coforge are seeking “Salesforce Data Cloud Solution Architect” with the following skill set :

Roles and Responsibilities

• Solution Design & Architecture Implementation & Integration Design end-to-end data architecture using Salesforce Data Cloud, integrating with various Salesforce clouds (Sales, Service, Marketing, etc.) and external systems.
• Define data models, ingestion pipelines, identity resolution strategies, and activation mechanisms. Ensure alignment with enterprise data governance and security standards.
• Lead the implementation of Data Cloud features including data ingestion, harmonization, segmentation, and activation.
• Collaborate with integration teams to connect external data sources (e.g., AWS, Azure, Snowflake, Mulesoft).
• Oversee ETL / ELT processes and ensure data quality and consistency.
• Work with business analysts, marketers, and data scientists to understand data needs and translate them into technical solutions.
• Provide guidance and best practices to development teams and ensure adherence to architectural standards.
• Monitor system performance and optimize data flows and queries.
• Implement scalable solutions to handle large volumes of customer data.
• Create architectural documentation, data flow diagrams, and technical specifications.
• Train internal teams on Data Cloud capabilities and usage.
• Technical Competencies : Deep understanding of Salesforce Data Cloud (CDP), CRM Analytics, Marketing Cloud, and core Salesforce platform.
• Experience with Salesforce data models, APIs, and integration patterns.
• Strong knowledge of data modeling, data lakes, data warehouses, and real-time data processing.
• Experience with identity resolution, data harmonization, and segmentation strategies.
• Proficiency in tools like Mulesoft, Informatica, Talend, or custom ETL solutions.
• Familiarity with cloud platforms (AWS, Azure, GCP) and data connectors.
• SQL, Python, Apex, and familiarity with JSON, XML. Experience with data visualization tools (Tableau, CRM Analytics).
• Understanding of data privacy regulations (GDPR, CCPA) and Salesforce Shield.
• Experience implementing role-based access controls and encryption.

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