Description

Key Responsibilities

• Design end-to-end customer data architectures including data ingestion, identity resolution, data modeling, security, and governance.
• Integrate Salesforce Data Cloud with enterprise platforms such as SAP, CRM systems, data lakes, and data warehouses.
• Develop scalable solutions for customer data unification and activation across marketing, sales, and service channels.
• Translate business and marketing requirements into technical architecture and implementation strategies.
• Enable real-time analytics, AI/ML, GenAI, and Agentforce use cases within the Salesforce ecosystem.
• Establish best practices for data governance, privacy, compliance, and security.
• Collaborate with business stakeholders, architects, developers, and leadership teams to deliver enterprise solutions.
• Support architecture reviews, technical roadmaps, and platform optimization initiatives.

Required Skills & Qualifications

8+ years of overall IT experience with 5+ years in architecture or technical leadership roles.

• Minimum 2+ years of hands-on experience with Salesforce Data Cloud.
• Salesforce certifications including Salesforce Data Cloud Consultant certification.
• Strong expertise in ETL processes, SQL, data integration, and API-based architectures.
• Experience with data warehousing platforms such as Snowflake, Databricks, BigQuery, or similar technologies.
• Strong understanding of Customer Data Platforms (CDP), identity resolution, and customer 360 solutions.
• Knowledge of data privacy regulations, governance frameworks, and security best practices.
• Excellent communication and stakeholder management skills.

Preferred Skills

• Experience with Sales Cloud, Service Cloud, Marketing Cloud, and Data Cloud.
• Exposure to AI/ML, GenAI, Agentforce, and real-time customer analytics.
• Experience working with enterprise integration platforms and large-scale data ecosystems

Key Skills

Education

Bachelor's degree