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# Salesforce Data Cloud Technical Consultant

- **Company:** Accenture
- **Location:** Orlando, FL, United States
- **Experience:** Experienced
- **Salary:** $73,800.0 - $218,800.0
- **Contract:** Permanent contract
- **Skills:** Adaptable Database Systems, Agile Methodology, Artificial Intelligence, Applications Architecture, JIRA, BigQuery, Cloud Computing, Continuous Integration, Customer Data Management, Data Governance, Extract Transform Load (ETL), Cloud Services, Azure Data Lake, Salesforce.Com, SQL Databases, Systems Architecture, Systems Integration, Talend, Apex Code, Data Processing, Enterprise Software Applications, Data Ingestion, Snowflake, SOAPAPI, Git, Salesforce Sales Cloud, Integration Frameworks, Salesforce Object Query Language (SOQL), Data Management, Marketing Cloud, User Identification, Mulesoft, Amazon Redshift, Databricks
- **Published:** October 11, 2026
- **Apply:** https://www.juju.com/job/1_accenturefeed-R00343042_en

## About the Role

Hiring locations are Chesterbrook, PA, or Orlando, FL. What you need: + A minimum of three years of experience designing and implementing enterprise Salesforce solutions including hands-on experience with Salesforce Data 360, including data ingestion, data modeling, identity resolution, calculated insights, segmentation, and activation. + A minimum of three years of experience integrating Salesforce Data 360 with Sales Cloud, Service Cloud, Marketing Cloud, and external enterprise systems. + Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate Degree, must have minimum 6 years work experience) Bonus points if you have: + Strong knowledge of the Salesforce Platform, including Apex, Lightning Web Components (LWC), SOQL, REST/SOAP APIs, and integration best practices. + Experience with SQL, cloud data platforms (e.g., Snowflake, Databricks, BigQuery, Redshift, Azure Data Lake), and ETL/integration tools such as MuleSoft, Informatica, or Talend. +
Familiarity with Zero Copy, data federation, data governance, privacy, consent management, and enterprise security best practices. + Knowledge of Agentforce, Einstein, and AI-powered customer engagement use cases. + Experience with Git, CI/CD, Jira, and Agile delivery methodologies. + Salesforce Data 360 experience across Sales Cloud, Service Cloud, Marketing Cloud, and external enterprise data sources + Experience designing Zero Copy or data federation patterns with modern cloud data platforms + Proficiency with Git, CI/CD pipelines, JIRA, and modern DevOps delivery practices + Salesforce Certified Data Cloud Consultant Cert + Salesforce Application Architect or System Architect Cert Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience.

## Description

For our people, it brings an opportunity to shape truly boundaryless career paths in a highly collaborative team of experts where they can learn from each other and solve the world's most complex client challenges The Work: Leads the design, development, and implementation of Salesforce Data 360 solutions to unify enterprise customer data and enable analytics, segmentation, activation, and AI-driven engagement.
Partners with solution architects to design and implement scalable data models, integrations, identity resolution, and governance frameworks across the Salesforce ecosystem.Key Responsibility:* Lead end-to-end Salesforce Data 360 implementation projects from discovery and solution design through deployment and support* Design scalable Data 360 solutions including data ingestion, data modeling, identity resolution, calculated insights, segmentation, and activation* Develop integration frameworks connecting Data 360 with Salesforce CRM, Marketing Cloud, external data platforms, and enterprise applications* Establish data governance, security, privacy, consent management, and compliance practices for enterprise data operations* Mentor developers and technical teams, conduct solution reviews, and define development best practices* Troubleshoot complex data processing, integration, and performance issues across high-volume data environments* Collaborate with business stakeholders, architects,
and delivery teams to translate business requirements into technical solutions* Create reusable accelerators, templates, and implementation frameworks to improve delivery speed and consistency This is a hybrid role and will require three days per week in the office.