Job Title - Salesforce Data Engineer
Location :
Hybrid; 312 Rosa L. Parks Avenue N., 20th floor Nashville, Tennessee 37243
Contract Duration - 12 Months
- 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)