Salesforce.com-posted 3 months ago
$281,000 - $449,600/Yr
Full-time • Senior
Remote • Seattle, WA
5,001-10,000 employees
Publishing Industries

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.

  • Define and champion a compelling long-term technical vision for Salesforce's unified data, analytics, ML/AI, and automation platforms.
  • Develop and manage a multi-year architectural roadmap delivering with peer product and engineering leaders.
  • Lead the design of highly scalable, distributed, transactional data platforms on cloud infrastructure, particularly AWS.
  • Serve as a key collaborator and technical authority for engineering, data science, product, and business unit teams across the company.
  • Engage with executive leadership and key stakeholders to communicate complex architectural strategies.
  • Build and mentor a community of senior technical talent within the organization.
  • Drive operational excellence by implementing best practices for platform architecture, data modeling, and lifecycle management.
  • Represent Salesforce and its data and AI vision at technical conferences, customer engagements, and relevant industry forums.
  • 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 technical field, or equivalent work experience.
  • Proven track record of designing, building, and launching complex, data-intensive, transactional systems on cloud platforms (especially AWS).
  • Deep, hands-on expertise with large-scale data platforms and technologies, including data lakes, data warehouses, columnar store databases, and data processing engines.
  • Deep expertise in modern data and AI architecture, including strong knowledge of LLMs, vector and graph databases, agentic development models, machine learning engineering, and ontology systems.
  • Expert in Domain-Driven Design (DDD).
  • Extensive experience designing and implementing microservices architectures and event-driven systems.
  • A strong advocate for and practitioner of modern software development methodologies, including Agile, Scrum, and Kanban.
  • Expertise in designing and managing robust, scalable, and secure APIs.
  • Experience establishing and enforcing architectural best practices, coding standards, and design patterns.
  • Extremely strong data modeling skills and a deep understanding of data modeling and data architecture best practices.
  • Exceptional strategic thinking and problem-solving skills.
  • Outstanding written and verbal communication skills.
  • Proven ability to work cross-functionally and influence effectively in a global, matrixed organization.
  • Ability to travel domestically and internationally as needed (~15-25%).
  • Deep technical expertise for Salesforce products and the Salesforce platform ecosystem.
  • Experience with data governance, privacy regulations, and implementing ethical AI frameworks.
  • Active participation in the data & AI/ML research, open-source community, and industry events.
  • Experience building or significantly contributing to enterprise products that incorporate machine learning and AI decision systems.
  • Time off programs
  • Medical, dental, vision, mental health support
  • Paid parental leave
  • Life and disability insurance
  • 401(k)
  • Employee stock purchasing program
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