Salesforce Data Cloud, Marketing Cloud

Job not on LinkedIn

🕒 August 20

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🎡 Marketing

👻 Ghost score 41%

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FindErnest

11 - 50 employees

Founded 2022

💼 Consulting

🏢 Enterprise

🤝 B2B

💰 $20k Pre Seed Round - FindErnest on 2023-01

Consulting • Enterprise • B2B

FindErnest is a global technology consulting and services company that helps enterprises, GCCs, startups, and SMBs accelerate digital transformation through a combination of technology consulting, product/platform engineering, managed IT services, AI & intelligent automation, cloud solutions, cybersecurity, enterprise applications, and workforce/talent solutions. Founded in 2022, the firm emphasizes integrating strategy and execution—combining advisory, implementation, managed services, and staffing under one roof—to deliver measurable business outcomes quickly and cost-effectively. Key offerings include digital transformation, product development, platform engineering, managed IT, AI automation, cloud and data services, and talent solutions; industries served span Technology & Internet, Healthcare & Life Sciences, BFSI, TME, Engineering & Construction, Supply Chain & Manufacturing, and Energy & Utilities. FindErnest positions itself as a mid-market, agile alternative to large SIs and pure staffing firms by delivering end-to-end transformation with a security-first, outcome-driven approach.

📋 Description

• Design and deliver unified customer engagement solutions • Build customer profiles, identity resolution, segmentation, and audience activation in Salesforce Data Cloud • Leverage Salesforce Marketing Cloud for personalized campaigns, journey orchestration, and multi-channel engagement • Integrate Data Cloud insights with Marketing Cloud to enable data-driven, real-time customer experiences across the customer lifecycle • Design and implement real-time personalization and next-best-action use cases • Develop customer lifecycle marketing using unified customer data • Create data-driven engagement strategies across email, mobile, and digital channels • Measure campaign effectiveness using customer insights and engagement analytics

🎯 Requirements

• 6-10 years of overall Salesforce experience • Strong hands-on experience with Salesforce Data Cloud (Data 360) • Experience with Data Streams, Data Lake Objects (DLO), Data Model Objects (DMO), and Data Mapping • Expertise in Identity Resolution and Unified Customer Profiles • Experience creating Segments and Audience Activation • Hands-on experience with Calculated Insights and Data Transformations • Understanding of Data Governance, Consent Management, Data Spaces, and Security • Experience with real-time and batch data ingestion • Strong knowledge of customer data models and customer 360 architecture • Experience integrating Data Cloud with Salesforce Clouds and external systems • Hands-on experience with Email Studio, Journey Builder, Automation Studio, Contact Builder, and Mobile Studio • Expertise in customer journey orchestration and campaign management • Experience implementing personalized and targeted marketing campaigns • Strong understanding of subscriber management, data extensions, and audience segmentation • Knowledge of AMPscript, SQL, and Marketing Cloud best practices • Ability to use Data Cloud audiences and unified profiles to drive Marketing Cloud campaigns • Experience activating Data Cloud segments into Marketing Cloud Journeys • Experience with real-time personalization and next-best-action use cases • Experience with customer lifecycle marketing using unified customer data • Experience creating data-driven engagement strategies across email, mobile, and digital channels • Knowledge of CDP-led personalization and customer engagement frameworks • Experience measuring campaign effectiveness using customer insights and engagement analytics • Salesforce Data Cloud Consultant Certification (preferred certification) • Salesforce Marketing Cloud Consultant Certification (preferred certification) • Marketing Cloud Developer Certification (preferred)

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