Salesforce Technical Architect

Salesforce Salesforce · Enterprise · Hyderabad, India, India

Salesforce Technical Architect role focused on designing and delivering complex Salesforce solutions for customers, leveraging Salesforce products, APIs, and integration technologies. The role requires a deep understanding of systems architecture, scalability, performance, and security within the Salesforce ecosystem, with a focus on long-term, scalable solutions and integration with other business systems. While the company emphasizes AI, this specific role is centered on the architecture and implementation of the CRM platform itself, not the direct development or research of AI models or agents.

What you'd actually do

  1. Collaborate with client stakeholders to define requirements, deliverables, and set and manage expectations
  2. Translate business requirements into well-architected solutions that best leverage the Salesforce platform
  3. Lead technical design sessions; architect and document technical solutions aligned with client business objectives; identify gaps between client's current and desired end states
  4. Provide oversight and governance of Salesforce projects
  5. Follow and help define coding standards. Lead code reviews during projects to ensure quality and appropriate design patterns are followed

Skills

Required

  • Salesforce platform expertise
  • Systems architecture
  • Solution design
  • Technical leadership
  • Integration technologies
  • API integration
  • Data migration
  • Coding standards
  • Code reviews
  • Environment management
  • Release management
  • Code versioning
  • Deployment methodologies
  • Platform security
  • Platform authentication
  • Salesforce certifications

Nice to have

  • Apex/Visualforce
  • Lightning
  • Mobile development technologies
  • ETL technologies
  • Sales Cloud
  • Service Cloud
  • Community Cloud
  • Marketing Cloud

What the JD emphasized

  • complex Salesforce solutions
  • systems architecture
  • scalable performance-driven solutions
  • large data volume limitations
  • platform architecture
  • design/development of large web-based systems
  • complete software product lifecycle exposure