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salesforce cloud sql python apex📋 Description
- Own end-to-end technical solution across Data 360 and Agentforce.
- Design scalable data architectures on Salesforce Data 360.
- Architect RAG and Generative AI with DMOs and retrievers.
- Define integration frameworks across Data 360, MuleSoft, and data warehouses.
- Establish DevOps, source control, and CI/CD for data and AI solutions.
- Coach developers and junior architects; stay current with Salesforce.
🎯 Requirements
- 6+ years in application, data, or software development and architecture.
- 3+ years Salesforce Platform in a dev or architecture role.
- Bachelor's or Master's in Computer Science, Data Engineering, or related field.
- Hands-on with Salesforce Data 360 (Data Cloud): data streams, identity resolution, activation.
- Proficiency in SQL and Apex; exposure to Python, JavaScript, or Java.
- Experience MuleSoft data integration and data warehouses (Snowflake/BigQuery/Redshift).
🎁 Benefits
- Remote or in-person at HQ in Massachusetts or regional hubs.
- Travel up to 25% for certain roles.
- Flexible scheduling; trust-based culture.
- Collaborative environment with open executive town halls.
- Celebrate and team events; supportive culture.
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