Themesoft Inc.
Salesforce Subject Matter Expert
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Salesforce Subject Matter Expert with a contract length of "unknown" and a pay rate of "unknown." Key skills include Salesforce data architecture, ETL processes, data governance, and AI integration. Certifications required: Salesforce Certified MuleSoft Developer, Salesforce Certified Platform Data Architect, and Salesforce Certified MuleSoft Platform Architect.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
November 20, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Nashville, TN
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🧠 - Skills detailed
#AI (Artificial Intelligence) #Documentation #Scala #"ETL (Extract #Transform #Load)" #Data Ingestion #Data Architecture #Data Migration #Data Storage #Storage #Data Engineering #Data Modeling #Data Governance #Automation #Metadata #Strategy #Normalization #Data Integration #Migration #ML (Machine Learning) #Cloud #Data Pipeline #Data Cleansing
Role description
Seeking an experienced Salesforce Data Engineer to serve as a subject matter expert (SME) and technical authority in designing, implementing, and governing enterprise data solutions across Salesforce platforms. This role will support cross-agency initiatives utilizing Salesforce Public Sector Cloud and other Salesforce Clouds to enhance service delivery and citizen engagement.
• Design, develop, and maintain scalable data pipelines, extract transform and load (ETL) processes, integrations, and APIs between Salesforce and external systems
• Optimize data ingestion and transformation processes in alignment with best practices for Salesforce data architecture.
• Define and implement data storage, normalization, and performance strategies across Salesforce instances.
• Lead the data modeling strategy across Salesforce Clouds, including Public Sector Cloud, Service Cloud, and Experience Cloud.
• Monitor and manage data migration, deduplication, and cleansing efforts to ensure system consistency and integrity.
• Design and deploy AI-powered agents that interact with Salesforce data for dynamic decision support, customer service, and workflow automation.
• Collaborate with AI/ML specialists to integrate predictive models and generative AI assistants within Salesforce environments (e.g., Einstein GPT or other LLM-based tools).
• Coordinate the implementation of data governance frameworks and best practices across client organizations, with a focus on Salesforce data ecosystems.
• Work with the Salesforce product owner, business units, and stakeholders to align data governance requirements and strategies.
• Support the development and enforcement of data standards, naming conventions, data ownership, and stewardship models including business glossaries, data dictionaries, and metadata for key Salesforce data assets.
• Provide documentation and guidance for Salesforce data integrations, data cleansing initiatives, and deduplication strategies.
Experience:
Salesforce Platform Developer II (4-6 years)
Salesforce Certified MuleSoft Developer (4-6 years)
Salesforce Certified Platform Data Architect (7-9 years)
Salesforce Certified MuleSoft Platform Architect (7-9 years)
Thank you
Vinod
vinod@themesoft.com
Seeking an experienced Salesforce Data Engineer to serve as a subject matter expert (SME) and technical authority in designing, implementing, and governing enterprise data solutions across Salesforce platforms. This role will support cross-agency initiatives utilizing Salesforce Public Sector Cloud and other Salesforce Clouds to enhance service delivery and citizen engagement.
• Design, develop, and maintain scalable data pipelines, extract transform and load (ETL) processes, integrations, and APIs between Salesforce and external systems
• Optimize data ingestion and transformation processes in alignment with best practices for Salesforce data architecture.
• Define and implement data storage, normalization, and performance strategies across Salesforce instances.
• Lead the data modeling strategy across Salesforce Clouds, including Public Sector Cloud, Service Cloud, and Experience Cloud.
• Monitor and manage data migration, deduplication, and cleansing efforts to ensure system consistency and integrity.
• Design and deploy AI-powered agents that interact with Salesforce data for dynamic decision support, customer service, and workflow automation.
• Collaborate with AI/ML specialists to integrate predictive models and generative AI assistants within Salesforce environments (e.g., Einstein GPT or other LLM-based tools).
• Coordinate the implementation of data governance frameworks and best practices across client organizations, with a focus on Salesforce data ecosystems.
• Work with the Salesforce product owner, business units, and stakeholders to align data governance requirements and strategies.
• Support the development and enforcement of data standards, naming conventions, data ownership, and stewardship models including business glossaries, data dictionaries, and metadata for key Salesforce data assets.
• Provide documentation and guidance for Salesforce data integrations, data cleansing initiatives, and deduplication strategies.
Experience:
Salesforce Platform Developer II (4-6 years)
Salesforce Certified MuleSoft Developer (4-6 years)
Salesforce Certified Platform Data Architect (7-9 years)
Salesforce Certified MuleSoft Platform Architect (7-9 years)
Thank you
Vinod
vinod@themesoft.com
