Overview
Salesforce Technical Architect, Data & AI will own end-to-end technical solutions that turn unified customer data into AI-powered experiences using Salesforce Data 360 (Data Cloud) and Agentforce.
What you'll do
- Lead technical solution design across Data 360 and Agentforce, including data streams, insights, segments, and real-time activation.
- Design scalable and secure Salesforce Data 360 data architectures, including ingestion and identity resolution rules.
- Architect RAG and Generative AI solutions using unstructured DMOs, retrievers, search indexes, and document processing.
- Define integration frameworks connecting Data 360 with MuleSoft and enterprise data warehouses using real-time and batch patterns.
- Establish DevOps, source control, and CI/CD practices for data and AI solutions.
- Oversee project lifecycle from initial design through development, testing, and deployment.
What you'll need
- 6+ years of experience in application, data, or software development and architecture.
- 3+ years of hands-on experience on the Salesforce Platform in a development or architecture role.
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
- Hands-on experience architecting and implementing Salesforce Data 360 (Data Cloud) features.
- Proficiency in SQL and Apex, with exposure to modern coding languages (e.g., Python, JavaScript, Java).
- Experience designing data integration patterns across enterprise systems (e.g., MuleSoft, ETL/ELT, Snowflake/BigQuery/Redshift).
- Understanding of data modeling, governance, security, and privacy best practices.
Details
- Work location is remote, limited to Bengaluru, Chennai, Gurugram, Hyderabad, Noida, or Pune only.
Read the full description and apply on the company’s own careers page.