griddable.io
Overview
Salesforce is seeking a visionary, innovative, and deeply technical Principal Architect to lead the architectural strategy and design for Salesforce’s enterprise data, AI/ML, and automation platforms. Reporting to Salesforce’s Chief Data Officer, this VP-level architect will own the entire data and ML/AI platform architecture and its seamless integration across all other platform and application domains at Salesforce. As Salesforce builds the first agentic enterprise, a cohesive, scalable, and intelligent data architecture is more critical than ever before to enable humans and agents to deliver success together. This pivotal role is the single-threaded architectural owner responsible for the blueprint of our entire enterprise data ecosystem. This leader will drive the technical strategy to power data activations, automations, agents, and analytics across the enterprise with a trusted, resilient, and flexible architecture. They will ensure our architecture is robust, scalable, and forward-looking, capable of processing billions of events per day and providing new capabilities to Salesforce through technologies like vector databases, graph databases, ontology systems, unstructured data processing, LLM model distillation, and much more. Your Impact & Responsibilities
Architectural Vision & Strategy: Define and champion a compelling long-term technical vision for Salesforce’s unified data, analytics, ML/AI, and automation platforms. Ensure the architecture is aligned with the company strategy, customer needs, and the product roadmap. Technical Roadmap & Execution: Develop and manage a multi-year architectural roadmap with peer product and engineering leaders. Guide the organization in making critical technology choices and drive end-to-end technical design for data platforms, analytics systems, ML/AI infrastructure, and automation systems. Platform Design & Development: Lead the design of highly scalable, distributed, transactional data platforms on cloud infrastructure, particularly AWS. Provide architectural guidance to a large, integrated team of product managers, engineers, and data scientists. Drive decisions on data management, analytical data processing, customer data platforms, LLMs, vector and graph databases, and agentic development models. Cross-Functional Leadership: Collaborate with engineering, data science, product, and business units across the company to ensure architectural alignment and success. Stakeholder Management: Communicate complex architectural strategies to executive leadership and key stakeholders, translate business requirements into architectural solutions, and secure buy-in. Technical Mentorship & Development: Build and mentor a community of senior technical talent, fostering innovation, technical excellence, and continuous improvement. Governance & Operational Excellence: Drive platform governance, data modeling, lifecycle management, data quality, reliability, uptime, and compliance with data governance and privacy regulations. Industry Thought Leadership: Represent Salesforce and its data and AI vision at technical conferences, customer engagements, and relevant industry forums. Required Qualifications
15-20+ years of experience in software architecture, design, and development, with at least 7-10 years in a Principal-level or VP-level architectural role focused on enterprise-scale data, AI, or technology platforms. Master’s or PhD in Computer Science, Engineering, Data Science, or a related field, or equivalent work experience. Proven track record designing and launching complex, data-intensive, transactional systems on cloud platforms (especially AWS). Deep expertise with large-scale data platforms and technologies (data lakes, data warehouses, columnar formats, data processing engines). Deep expertise in modern data and AI architecture including LLMs, vector/graph databases, agentic development, ML engineering, and ontology systems. Expertise in Domain-Driven Design (DDD) and modeling complex business domains. Microservices and event-driven architecture experience. Modern software development practices with CI/CD, DevOps, and infrastructure-as-code. API design and management (REST, GraphQL) with awareness of gateways and service meshes. Architectural governance and quality, strong data modeling skills, and ability to communicate technical concepts to varied audiences. Excellent cross-functional collaboration and ability to influence in a global organization. Ability to travel domestically and internationally as needed (~15-25%). Preferred Qualifications
Deep technical experience with Salesforce products and ecosystem (Data Cloud, Tableau, MuleSoft, Informatica). Experience with data governance, privacy regulations, and implementing ethical AI frameworks. Active participation in data & AI/ML research, open-source communities, and industry events. Experience building enterprise products with machine learning and AI decision systems. Seniorities & Employment
Seniority level: Executive Employment type: Full-time Job function: Design, Art/Creative, and Information Technology Industries: IT Services and IT Consulting
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Salesforce is seeking a visionary, innovative, and deeply technical Principal Architect to lead the architectural strategy and design for Salesforce’s enterprise data, AI/ML, and automation platforms. Reporting to Salesforce’s Chief Data Officer, this VP-level architect will own the entire data and ML/AI platform architecture and its seamless integration across all other platform and application domains at Salesforce. As Salesforce builds the first agentic enterprise, a cohesive, scalable, and intelligent data architecture is more critical than ever before to enable humans and agents to deliver success together. This pivotal role is the single-threaded architectural owner responsible for the blueprint of our entire enterprise data ecosystem. This leader will drive the technical strategy to power data activations, automations, agents, and analytics across the enterprise with a trusted, resilient, and flexible architecture. They will ensure our architecture is robust, scalable, and forward-looking, capable of processing billions of events per day and providing new capabilities to Salesforce through technologies like vector databases, graph databases, ontology systems, unstructured data processing, LLM model distillation, and much more. Your Impact & Responsibilities
Architectural Vision & Strategy: Define and champion a compelling long-term technical vision for Salesforce’s unified data, analytics, ML/AI, and automation platforms. Ensure the architecture is aligned with the company strategy, customer needs, and the product roadmap. Technical Roadmap & Execution: Develop and manage a multi-year architectural roadmap with peer product and engineering leaders. Guide the organization in making critical technology choices and drive end-to-end technical design for data platforms, analytics systems, ML/AI infrastructure, and automation systems. Platform Design & Development: Lead the design of highly scalable, distributed, transactional data platforms on cloud infrastructure, particularly AWS. Provide architectural guidance to a large, integrated team of product managers, engineers, and data scientists. Drive decisions on data management, analytical data processing, customer data platforms, LLMs, vector and graph databases, and agentic development models. Cross-Functional Leadership: Collaborate with engineering, data science, product, and business units across the company to ensure architectural alignment and success. Stakeholder Management: Communicate complex architectural strategies to executive leadership and key stakeholders, translate business requirements into architectural solutions, and secure buy-in. Technical Mentorship & Development: Build and mentor a community of senior technical talent, fostering innovation, technical excellence, and continuous improvement. Governance & Operational Excellence: Drive platform governance, data modeling, lifecycle management, data quality, reliability, uptime, and compliance with data governance and privacy regulations. Industry Thought Leadership: Represent Salesforce and its data and AI vision at technical conferences, customer engagements, and relevant industry forums. Required Qualifications
15-20+ years of experience in software architecture, design, and development, with at least 7-10 years in a Principal-level or VP-level architectural role focused on enterprise-scale data, AI, or technology platforms. Master’s or PhD in Computer Science, Engineering, Data Science, or a related field, or equivalent work experience. Proven track record designing and launching complex, data-intensive, transactional systems on cloud platforms (especially AWS). Deep expertise with large-scale data platforms and technologies (data lakes, data warehouses, columnar formats, data processing engines). Deep expertise in modern data and AI architecture including LLMs, vector/graph databases, agentic development, ML engineering, and ontology systems. Expertise in Domain-Driven Design (DDD) and modeling complex business domains. Microservices and event-driven architecture experience. Modern software development practices with CI/CD, DevOps, and infrastructure-as-code. API design and management (REST, GraphQL) with awareness of gateways and service meshes. Architectural governance and quality, strong data modeling skills, and ability to communicate technical concepts to varied audiences. Excellent cross-functional collaboration and ability to influence in a global organization. Ability to travel domestically and internationally as needed (~15-25%). Preferred Qualifications
Deep technical experience with Salesforce products and ecosystem (Data Cloud, Tableau, MuleSoft, Informatica). Experience with data governance, privacy regulations, and implementing ethical AI frameworks. Active participation in data & AI/ML research, open-source communities, and industry events. Experience building enterprise products with machine learning and AI decision systems. Seniorities & Employment
Seniority level: Executive Employment type: Full-time Job function: Design, Art/Creative, and Information Technology Industries: IT Services and IT Consulting
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