Salesforce Tech Lead/Developer

CLOUDSCOUTS SOFTWARE SOLUTIONS LLC
Nashville, TN, United States
about 1 month ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
4 years minimum
Working hours
Shift work
Job source

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Cloud Computing Customer Data Management Data Architecture Data Cleansing Data Deduplication Data Dictionary Data Governance Extract Transform Load (ETL) Data Migration Decision Support Systems
+8 more
Cloud Services Salesforce.Com Data Storage Technologies Data Ingestion Large Language Models GPT Data Pipelines Mulesoft

Job description

The State of Tennessee is 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.

Requirements

  • 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)

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

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Building modern data pipelines for legacy exports

Dr. Alexander Wachtel Dr. Alexander Wachtel +1 · World Congress 2025

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