Salesforce Technical Architect, Data & AI
NeuraFlash, Part of Accenture2 months ago
Remote, United StatesSenior
Base Salary
$87k - $266k/yr
Responsibilities
- Lead end-to-end 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, including 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.
- Collaborate with customers, project managers, solution architects, developers, and UX designers to translate business needs into technical solutions.
- Oversee and contribute to design, development, testing, and deployment throughout the project lifecycle.
- Define integration frameworks connecting Data 360, MuleSoft, enterprise data warehouses, and other systems through real-time and batch patterns.
- Establish source control, DevOps, and CI/CD practices for data and AI solutions.
- Coach and mentor developers and junior architects and stay current with Salesforce products and technical 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 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, 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 data integration patterns across enterprise systems, MuleSoft, ETL/ELT tooling, and data warehouses such as Snowflake, BigQuery, or Redshift.
- Understanding 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 details to varied audiences.
- Preferred qualifications include Agentforce or generative AI platform experience, RAG implementation experience, relevant Salesforce certifications, and experience defining testing approaches for data and generative AI solutions.
Benefits
- Remote and in-person work options are available through the Massachusetts headquarters, regional hubs, or remote work.
- Certain roles may require up to 25% travel.
- Flexible scheduling supports personal appointments and family obligations.
- The company provides a collaborative environment with town halls, company meetings, and employee feedback opportunities.
- The company offers team celebrations and social events.
Tech Stack
Categories
Solutions Engineering