Data Foundation 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

Sales

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.

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.

The Data Foundation Technical Architect is a pre-sales customer-facing enterprise domain expert applying broad technical skills, with industry knowledge and deep business acumen, supporting sales teams in developing value propositions that align to our customers’ business strategies on agentic transformation and cloud adoption. The Data Foundation Technical Architect is a subject matter expert in one or more categories that may include: business strategy, application architecture, data & information, integration, security, cloud computing, artificial intelligence, distributed platforms, and analytics. With a solid blend of technical and sales skills, the Data Foundation Technical Architect uses a consultative approach to understand business and technical requirements.The Data Foundation Technical Architect determines which Salesforce and third party technologies to leverage in customer driven architectures, based upon product knowledge, industry experience, industry standard integration frameworks and Salesforce Architecture methodologies.With a broad IT background including solution architecture, technical architecture, software/systems engineering, cloud computing, and governance, the Data Foundation Technical Architect leads key discussions and considerations around change programs from both a business and technical perspective.

The Data Foundation Technical Architect helps the sales teams develop specific, repeatable propositions and go to market strategies.The Data Foundation Technical Architect also participates in the delivery of solution best practices, reference architectures, educational sessions and industry summits to existing customers, partners and to internal audiences.

 

Baseline Requirements:

• Ability to understand business & IT department requirements, translate those business needs into a compelling solution, and present your recommendations to executive, technical, and business audiences.

• Deep knowledge of enterprise software applications and their delivery

• Some coding experience and a willingness to work with code (Apex, Node, Go, R, Java or C#, JavaScript, python, Ruby, etc.)

• Database and data management fundamentals

• Web and mobile application development and architecture

• Application lifecycle management

• Integration principles and tools

• Enterprise data management tools and methods

• Process orchestration

• Principles of network, application, and information security

• Strong oral, written, presentation, and interpersonal communication and relationship skills.

• Strategic problem solver, thought leadership and comfort communicating with executive audiences.

• Excellent time management skills and the ability to support multiple, concurrent projects.

• Lifelong learner, inquisitive, practical, and passionate about technology and sharing knowledge.

• Willing and able to travel domestically and internationally.

• Bachelor’s degree in Computer Science, MIS, Software Engineering, Electrical Engineering, Data Science, Management Information Systems, other STEM degrees or equivalent work experience. Graduate study a plus.

• Hyperscalers:  Experience with AWS, Azure, GCP, and/or OCI would be preferred.

• Informatica IDMC:  This includes knowledge of Informatica capabilities along with common practices around Data Warehousing, Data Engineering, and Data Management.

Preferred Requirements:

• Experience working as an architect, solution engineer, IT consultant or developer in a customer facing role that provided differentiated software technology solutions. We are open to a variety of backgrounds.

• Experience in roles that required working hands-on to build, implement, administrate, or maintain enterprise software (e.g. software engineer, implementation architect, integration architect, or similar).

• Understanding of data strategy, risk mitigation, compliance and security.

• Experience with design thinking, persona-based discovery or other innovation techniques.

• Knowledge of the Salesforce platform, including Salesforce Certifications and/or Trailhead Superbadges

Designing Enterprise Agentic Systems (AI & Data Capabilities)

The ideal candidate will have hands-on experience designing and delivering AI-powered enterprise solutions, with a focus on reliability, governance, and real-world applicability—not just experimentation.

Core Capabilities:

• Agentic System Design:
  Ability to design and implement multi-agent architectures that operate across fragmented enterprise systems, where agents can reason, act, and collaborate to complete business workflows.

• LLM + Deterministic Orchestration:
  Strong understanding of when to use large language models versus deterministic logic (APIs, workflows, rules engines), and how to combine both to achieve reliable, cost-effective outcomes.

• Real-Time Data Grounding:
  Experience integrating AI systems with live enterprise data (via APIs, event streams, or data platforms), ensuring outputs are contextually accurate and not reliant on static or stale knowledge.

• Retrieval & Context Engineering (RAG):
  Ability to design retrieval-augmented systems that provide relevant, secure, and scoped context to AI models, with attention to latency, accuracy, and data access controls.

• Governance, Security & Auditability:
  Understanding of how to design AI systems with enterprise-grade controls, including identity propagation, data access policies, audit trails, and mechanisms to trace and debug agent decisions.

• AI Architecture & Integration:
  Experience integrating LLMs and agent frameworks into enterprise environments, including API gateways, middleware (e.g., MuleSoft or similar), and model-serving infrastructure.

• Prompt & Interaction Design:
  Proficiency in structuring prompts and interaction patterns to guide model behavior, including techniques such as few-shot prompting, tool usage, and response validation.

• Platform Ecosystem (Salesforce & Beyond):
  Familiarity with platforms such as Salesforce (e.g., Agentforce, Data Cloud, Flow) and how they integrate with broader enterprise ecosystems (e.g., Informatica, hyperscalers).

• Cost & Performance Optimization:
  Ability to reason about token usage, latency, and scaling trade-offs, and design architectures that balance performance, cost, and user experience.

Professional & Strategic Competencies

• Communication & Leadership: Strong oral, written, presentation, and interpersonal skills are a must. The role demands a strategic problem-solver, a thought leader, and someone comfortable communicating with executive audiences.

• Project Management: Excellent time management skills and the ability to support multiple, concurrent projects.

• Continuous Learning: A lifelong learner who is inquisitive, practical, and passionate about technology and sharing knowledge.

• Travel: Willing and able to travel up to 50% of time, at times internationally.

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

If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.

Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.

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.

At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $182,770 - $244,510 annually There is a different range applicable to specific work locations. In California and New York, and select cities in the metropolitan areas of Boston, Chicago, Seattle, and Washington DC, the base pay range for this role in those locations is $201,110 - $269,080 per year. Your recruiter can share more about the specific salary range for the job location during the hiring process. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.