Data, Principal Architect

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category

Software Engineering

Job Details

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

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. This is a unique opportunity to shape the future of data and AI at Salesforce, driving significant business impact and innovation at scale.

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 overall company strategy, customer needs, and the development of Salesforce’s product roadmap.

• Technical Roadmap & Execution: Develop and manage a multi-year architectural roadmap delivering with peer product and engineering leaders. Guide the organization in making critical technology choices and drive the 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 thoughtful architectural decisions on data management, analytical data processing, customer data platforms, LLMs, vector and graph databases, and agentic development models.

• Cross-Functional Leadership: Serve as a key collaborator and technical authority for engineering, data science, product, and business unit teams across the company. Build strong relationships and influence effectively with stakeholders at all levels of a global, matrixed organization to ensure architectural alignment and success.

• Stakeholder Management: Engage with executive leadership and key stakeholders to communicate complex architectural strategies, secure buy-in, and manage expectations. Translate business requirements into sound architectural solutions to enable product and engineering teams to build resilient and scalable solutions.

• Technical Mentorship & Development: Build and mentor a community of senior technical talent within the organization. Foster an inspiring culture of innovation, technical excellence, and continuous improvement that helps everyone do the best work of their careers.

• Governance & Operational Excellence: Drive operational excellence by implementing best practices for platform architecture, data modeling, and lifecycle management. Ensure architectural designs promote platform uptime, data quality, reliability, and adhe