Salesforce Technical Architect, Data & AI
NeuraFlash, Part of Accenture11 days ago
Remote, IndiaSenior
Responsibilities
- Own technical solution design across Salesforce Data 360 and Agentforce, including data streams, DLOs, DMOs, identity resolution, calculated insights, segments, activation, and agent configuration.
- Design scalable and secure Data 360 architectures covering ingestion, harmonization, identity resolution, and zero-copy or data federation strategies.
- Architect RAG and generative AI solutions using Unstructured DMOs, Retrievers, Search Indexes, and Document Processing.
- Define integration frameworks connecting Data 360, MuleSoft, enterprise data warehouses, and other systems through real-time and batch patterns.
- Oversee and contribute to design, development, testing, and final deployment across the project lifecycle.
- Establish source control, branching, pull request, CI/CD, and DevOps practices for data and AI solutions.
- Collaborate with customers, project managers, solution architects, developers, and UX designers to translate business needs into technical solutions.
- Coach and mentor developers and junior architects while keeping current with Salesforce products and capabilities.
Requirements
- At least 6 years of experience in application, data, or software development and architecture.
- At least 3 years of hands-on Salesforce Platform experience in development or architecture.
- Bachelor’s or master’s degree in computer science, data engineering, or a related field.
- Hands-on experience architecting and implementing Salesforce Data 360, including data streams, DLOs, DMOs, identity resolution, calculated insights, and activation.
- Proficiency in SQL and Apex, with exposure to Python, JavaScript, or Java.
- Experience designing enterprise data integration patterns using MuleSoft, ETL/ELT tooling, and data warehouses such as Snowflake, BigQuery, or Redshift.
- Knowledge of data modeling, governance, security, and privacy best practices.
- Experience with source control, branching and pull request strategies, CI/CD, and DevOps principles.
- Strong communication skills and the ability to explain complex technical topics to varied audiences.
- Preferred experience with Agentforce or other generative AI and agentic platforms.
- Preferred experience building RAG solutions with Unstructured DMOs, Retrievers, and Search Indexes.
- Salesforce certifications such as Data Cloud Consultant, Platform Developer II, Application Architect, or Agentforce Specialist are preferred.
- Experience defining testing approaches for data and generative AI solutions is preferred.
Benefits
- Remote and in-person work options are available, including headquarters and regional hubs in Massachusetts.
- Certain roles may require up to 25% travel.
- Flexible scheduling and a culture focused on outcomes rather than fixed hours.
- Collaborative communication through town halls and company meetings.
- Team celebrations and company social activities.
Tech Stack
Categories
Solutions Engineering