Data, Principal Architect

7 Minutes ago • 15-20 Years
Data Analysis

Job Description

Salesforce is seeking a Principal Architect to lead the architectural strategy and design for its enterprise data, AI/ML, and automation platforms. This VP-level architect will own the entire data and ML/AI platform architecture, ensuring seamless integration across all other platform and application domains. The role involves defining a long-term technical vision, managing architectural roadmaps, leading platform design on cloud infrastructure (especially AWS), and driving innovation in data activations, automations, agents, and analytics. This leader will ensure the architecture is robust, scalable, and forward-looking, capable of processing billions of events daily and leveraging technologies like vector databases, graph databases, and LLM model distillation.
Good To Have:
  • Deep technical expertise for Salesforce products and the Salesforce platform ecosystem, including Salesforce Data Cloud, Tableau, MuleSoft, and Informatica.
  • Experience with data governance, privacy regulations, and implementing ethical AI frameworks in practice.
  • 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.
Must Have:
  • 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, guiding critical technology choices and driving end-to-end technical design.
  • Lead the design of highly scalable, distributed, transactional data platforms on cloud infrastructure, particularly AWS.
  • Provide architectural guidance to product managers, engineers, and data scientists, driving decisions on data management, LLMs, and agentic development models.
  • Serve as a key collaborator and technical authority for engineering, data science, product, and business unit teams.
  • Engage with executive leadership to communicate complex architectural strategies and secure buy-in.
  • Translate business requirements into sound architectural solutions to enable resilient and scalable solutions.
  • Build and mentor a community of senior technical talent, fostering innovation and technical 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 adherence to data governance and privacy regulations.
  • Represent Salesforce and its data and AI vision at technical conferences, customer engagements, and industry forums.
  • 15-20+ years of experience in software architecture, design, and development, with 7-10 years in a Principal-level or VP-level architectural role.
  • 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 (data lakes, data warehouses, columnar stores, data processing engines).
  • Deep expertise in modern data and AI architecture, including LLMs, vector/graph databases, agentic development models, ML engineering, and ontology systems.
  • Expert in Domain-Driven Design (DDD) and practical application of its principles.
  • Extensive experience designing and implementing microservices architectures and event-driven systems.
  • Strong advocate for and practitioner of modern software development methodologies (Agile, Scrum, Kanban, CI/CD, DevOps, infrastructure-as-code).
  • Expertise in designing and managing robust, scalable, and secure APIs (REST, GraphQL), including API gateways and service meshes.
  • 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, with ability to synthesize complex technical concepts.
  • Outstanding written and verbal communication skills, able to present effectively to diverse audiences.
  • Proven ability to work cross-functionally and influence effectively in a global, matrixed organization.
Perks:
  • Time off programs
  • Medical insurance
  • Dental insurance
  • Vision insurance
  • Mental health support
  • Paid parental leave
  • Life and disability insurance
  • 401(k)
  • Employee stock purchasing program
  • Benefits and resources to support work-life balance
  • AI agents to accelerate impact

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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 adherence to 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 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 (e.g., AWS S3, Azure Data Lake), data warehouses (e.g., Snowflake, BigQuery, Redshift), columnar store databases and formats (e.g., Vertica, ClickHouse, Apache Parquet, ORC), and data processing engines (e.g., Apache Spark, Databricks, DBT).
  • 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): Deep understanding and practical application of DDD principles to model complex business domains and design loosely coupled, highly cohesive systems. Proven ability to establish a ubiquitous language and collaborate with domain experts to create effective models.
  • Microservices and Event-Driven Architecture: Extensive experience designing and implementing microservices architectures and event-driven systems.
  • Modern Software Development Practices: A strong advocate for and practitioner of modern software development methodologies, including Agile, Scrum, and Kanban. Deep experience with CI/CD (Continuous Integration/Continuous Delivery) pipelines, DevOps culture, and infrastructure-as-code (e.g., Terraform, CloudFormation).
  • API Design and Management: Expertise in designing and managing robust, scalable, and secure APIs (REST, GraphQL). Understanding of API gateways, service meshes, and API lifecycle management best practices.
  • Architectural Governance and Quality: Experience establishing and enforcing architectural best practices, coding standards, and design patterns. Proven ability to conduct architectural reviews and provide constructive feedback to engineering teams.
  • Extremely strong data modeling skills and a deep understanding of data modeling and data architecture best practices.
  • Exceptional strategic thinking and problem-solving skills, with a demonstrated ability to synthesize complex technical concepts into a clear architectural vision.
  • Outstanding written and verbal communication skills with the ability to craft compelling technical narratives and present effectively to diverse audiences, including C-level executives and deep technical teams.
  • Proven ability to work cross-functionally and influence effectively in a global, matrixed organization.
  • Ability to travel domestically and internationally as needed (~15-25%).

Preferred Qualifications:

  • Deep technical expertise for Salesforce products and the Salesforce platform ecosystem, including Salesforce Data Cloud, Tableau, and MuleSoft, and Informatica.
  • Experience with data governance, privacy regulations, and implementing ethical AI frameworks in practice through intelligent software engineering practices to ensure highly compliant and secure applications and data platforms
  • 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.

Unleash Your Potential

When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.

Accommodations

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Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.

For Washington-based roles, the base salary hiring range for this position is $281,000 to $449,600.

For California-based roles, the base salary hiring range for this position is $307,100 to $491,500.

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