Requirements Summary

6+ years of experience in application, data, or software development and architecture, 3+ years of hands-on experience with the Salesforce Platform, and a strong understanding of data modeling, governance, security, and privacy best practices

Benefits

Education

Master's degree

Full Job Description

Role Overview As a Technical Architect, Data & AI focused on Salesforce Data 360 (formerly Data Cloud) and Agentforce, you will be responsible for owning the end-to-end technical solution that turns unified customer data into intelligent, AI-powered experiences for our clients. You'll have the opportunity to make significant contributions to our success by working with the rest of our talented AI and Data team to delight customers. What You Will Do Lead and own the technical solution design across Data 360 and Agentforce—including data streams, DLOs, DMOs, identity resolution, calculated insights, segments, real-time activation, and the agent topics, instructions, and actions that consume that data. Design scalable and secure data architectures on Salesforce Data 360—defining ingestion patterns, harmonization, identity resolution rules, and zero-copy / data federation strategies. Why It Might Be a Fit If you’re ready to make your mark in the AI space, NeuraFlash, Part of Accenture is the place for you. You'll have the opportunity to collaborate with trailblazing experts who are passionate about pushing boundaries and leveraging technologies like Agentforce to create impactful customer outcomes. Requirements 6+ years of experience in application, data, or software development and architecture 3+ years of hands-on experience with 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)—data streams, DLOs, DMOs, identity resolution, calculated insights, and activation Proficiency in SQL and Apex, with exposure or working knowledge of modern coding languages (e.g., Python, JavaScript, Java) Experience designing data integration patterns across enterprise systems (MuleSoft, ETL/ELT tooling, data warehouses such as Snowflake, BigQuery, or Redshift) Understanding of data modeling, governance, security, and privacy best practices Experience with source control, branching/pull request strategies, and familiarity with CI/CD and DevOps principles Strong communication skills; the ability to convey complex technical details to all audiences Benefits Remote work Travel opportunities (up to 25% travel commitment) Flexibility in work schedule Collaborative work environment Opportunities for professional growth and development Competitive salary and benefits Equity or stock options Paid time off (vacation, sick leave, etc.) Health insurance Retirement plan (e.g. 401(k), pension) Learning budget or professional development opportunities Parental leave Wellness programs or employee assistance programs Visa or relocation assistance Remote flexibility Stipends or bonuses Paid holidays

Skills and Technologies