Salesforce Data Cloud Technical Lead

Long Finch Technologies

McLean, VA

Posted On: Feb 12, 2026

Posted On: Feb 12, 2026

Job Overview

Job Type

Full-time

Experience

12 - 18 Years

Salary

Depends on Experience

Work Arrangement

On-Site

Travel Requirement

0%

Required Skills

  • Sales Cloud
  • Apex
  • Lightning Web Components
  • REST/SOAP APIs
  • Salesforce Data Cloud
  • Visualforce
Job Description
Must Have Technical/Functional Skills
  • Sales Cloud, Service Cloud, Experience Cloud (Community Cloud), Marketing Cloud, Data Cloud
  • Apex, Lightning Web Components (LWC), Visualforce, SOQL
  • REST/SOAP APIs and integration patterns
  • Minimum 8 years of experience in Salesforce Cloud, with multi-year exposure to Data Cloud implementations.
  • Hands-on expertise in Salesforce Data Cloud (CDP), data modelling, ingestion pipelines, and architecture design.
  • Strong proficiency in Apex, Lightning (LWC), integrations (REST/SOAP), and Integration tools like MuleSoft
  • Familiar with data governance, privacy regulations (GDPR, CCPA), and implementable controls.
  • Certified credentials such as Salesforce Certified Data Cloud Consultant, Data Architect, or Technical Architect.
  • Strong problem-solver with experience in Agile delivery, stakeholder collaboration, and technical mentoring.

 

Roles & Responsibilities
  • Lead end-to-end solution delivery for Salesforce Data Cloud implementations—from discovery and impact analysis to design, deployment, and post-go-live support.
  • Architect data models, ingestion pipelines, and data flows within Data Cloud, ensuring scalability, performance, and cost-effectiveness.
  • Collaborate in client discovery workshops to define business-centric use cases and translate them into technical requirements.
  • Mentor and guide developers, enforce best practices, conduct solution reviews, and ensure high code quality. 
  • Oversee integration between Data Cloud and external systems (CRM, ERP, marketing platforms) using REST/SOAP APIs and ETL tools.
  • Create and manage architecture artifacts—data models, flow diagrams, consumption estimates, deployment plans, and cutover strategy. 
  • Implement and monitor data governance, security protocols, and compliance (e.g., GDPR, CCPA).
  • Drive performance monitoring post-launch, proactively identify issues, and optimize system health.
  • Prepare comprehensive documentation and provide training to support stakeholder adoption and ongoing optimization.

Job ID: LFT120525


Posted By

Mayank Rawat

Bilingual Recruiter