
Salesforce Technical Architect, Data & AI
Posted 4 days ago

Posted 4 days ago
• Take charge of the technical solution design for Data 360 and Agentforce, which includes managing data streams, DLOs, DMOs, identity resolution, calculated insights, segments, real-time activation, along with the agent topics, instructions, and actions that utilize this data.
• Create scalable and secure data architectures on Salesforce Data 360 by defining ingestion patterns, harmonization processes, identity resolution rules, as well as zero-copy and data federation strategies.
• Conduct in-depth analysis of the limitations and boundaries of Data 360 and Agentforce, discovering innovative solutions that enhance business outcomes.
• Design RAG and Generative AI solutions utilizing Unstructured DMOs, Retrievers, Search Indexes, and Document Processing while adhering to RAG best practices.
• Work collaboratively with customers, Project Managers, Solution Architects, Developers, and UX Designers to translate business requirements into well-structured solutions.
• Manage and contribute to all phases of the project lifecycle, from initial design to development, testing, and final deployment.
• Establish integration frameworks and reference architectures that link Data 360, MuleSoft, enterprise data warehouses, and other systems using both real-time and batch processing patterns.
• Implement DevOps, source control, and CI/CD practices for data and AI solutions.
• Guide and mentor developers and junior architects while staying updated on new Salesforce products and technical capabilities.
• A minimum of 6 years of experience in application, data, or software development and architecture.
• At least 3 years of hands-on experience with the Salesforce Platform in a development or architecture capacity.
• A Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related discipline.
• Practical experience in architecting and implementing Salesforce Data 360 (Data Cloud), including data streams, DLOs, DMOs, identity resolution, calculated insights, and activation.
• Proficiency in SQL and Apex, along with knowledge of modern coding languages such as Python, JavaScript, or Java.
• Experience in designing data integration patterns across enterprise systems, including MuleSoft, ETL/ELT tools, and data warehouses like Snowflake, BigQuery, or Redshift.
• A solid understanding of data modeling, governance, security, and privacy best practices.
• Familiarity with source control, branching/pull request strategies, and knowledge of CI/CD and DevOps principles.
• Strong communication skills, with the ability to articulate complex technical concepts to diverse audiences.
• Remote & In-Person: Whether you are based out of our headquarters in Massachusetts, one of our regional hubs, or among the majority of our NeuraFlash, Part of Accenture Family who work remotely, we prioritize keeping everyone connected and unified as one team.
• Travel: Prepare to pack your bags and travel! For certain roles, travel is an exciting aspect of the job, with an expected travel commitment of up to 25%. If you enjoy adventure and are open to a bit of jet-setting, this opportunity could be your chance to explore new places while positively impacting clients.
• Flexibility: Have to take your dog to the vet, pick up the kids from school, or fetch the in-laws from the airport? We understand that a perfect 9-5 isn’t feasible. If you need to step out for any of those, no worries! We cultivate a culture of trust and understanding, valuing quality work over the hours spent achieving it.
• Collaboration: Your voice matters here! With a team of intelligent individuals, it’s natural to consider suggestions and feedback on how to keep NeuraFlash, Part of Accenture thriving. Our executive team hosts town halls and company meetings to address any suggestions or questions, regardless of their size.
• Celebrate Often: We take our work seriously, but not ourselves. Whether it’s an arm wrestling contest, costume party, or ugly holiday sweater day, our teams love to have fun. While we work diligently, we also remember to pause and celebrate both the significant and minor achievements together.
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