Architect Engineer, Data Platform Services

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 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 the Role Data Platform Services (DPS) is engineering the data foundation that powers Salesforce’s AI transformation. We build and operate the platforms that make trusted, governed, and semantically rich data available at the speed and scale that Agentforce and next-generation AI products demand. Our work spans the full data lifecycle - from ingestion and lakehouse architecture to data-as-a-product (DaaP), quality, observability, and agent-ready context delivery - and our platform is consumed by Salesforce’s largest internal business units every day. We are looking for a Distinguished Engineer to define and lead the technical strategy for this platform. This is DPS’s most senior individual contributor role. You will shape how the platform evolves to support AI-native consumption patterns, set the standards that engineering teams across DPS build to, and be the technical voice that connects platform capabilities to Salesforce’s broader AI and data strategy. You will report directly to the VP of Data Platform Services and will partner closely with Architects and Engineering leaders across the organization, with product leadership, and with Salesforce’s Product and Engineering teams as part of Salesforce’s Customer Zero programs - where DPS both validates and influences the data platform capabilities that ship to Salesforce’s external customers. What You’ll Do Define the DPS platform strategy to support AI-native workloads, including data governance, enrichment, and surfacing for reliable consumption by AI agents and LLM pipelines. Own the technical vision for transforming raw datasets into high-fidelity, discoverable, and agent-ready assets. Define global standards for automated data contracts, versioned schemas, and enforceable SLAs to build self-service infrastructure that enables domain teams to ship data with production-level rigor, quality, and observability. Set standards governing how DPS teams design, build, and operate platform services—API design, data contracts, reliability, observability, security, and service ownership—and drive adoption across the organization. Lead the reliability and scalability strategy for DPS platform services, establishing architectural principles, SLO frameworks, and operational standards for platform performance at enterprise scale. Serve as the authoritative technical voice across design reviews, cross-team architecture decisions, and long-range planning, surfacing tradeoffs clearly, resolving dependencies, and aligning technical investment with business outcomes. Invest in coaching PMTS and senior engineers across DPS, raise technical quality through design patterns and proposals, and represent DPS’s technical vision to CDO leadership and peer platform teams. Participate in Salesforce’s Customer Zero programs—providing structured technical feedback on Data Cloud, Agentforce, and platform capabilities from the perspective of an enterprise-scale internal operator, and collaborating with product teams to influence the roadmap. What We’re Looking For Required Significant experience in software or platform engineering—typically 12 to 15+ years—with demonstrated impact at the scope of a senior or principal IC, owning technical direction across multiple teams, shaping multi-year roadmaps, and influencing engineering outcomes at an organizational level. Demonstrated ability to define and drive a multi-year technical strategy for a platform organization—owning it and making it legible and actionable for engineering and business audiences. Deep expertise in distributed systems design, cloud-native platform architecture, and reliability and scalability patterns governing enterprise-scale platform services. Strong understanding of data platform architecture—including lakehouse design, data catalog and governance, data contract frameworks, and metadata management—from a platform engineering perspective. Experience shaping how data platforms enable AI/ML workloads—including how data is structured, governed, and served for agentic or LLM-based consumption—and familiarity with agent integration patterns such as MCP or equivalent protocols for connecting data systems to AI runtimes. Fluency in agentic development patterns—prompt and tool design through evaluation, deployment, and observability—and a working understanding of how data platform decisions shape what agents can reliably do, paired with a strong grasp of the full product development lifecycle. Track record of setting engineering standards—data quality frameworks, automated data contracts, and SLA enforcement—and building the technical culture and tooling that make those standards easy to adopt across teams. Working knowledge of infrastructure-as-code, containerization (Kubernetes, Docker), and CI/CD patterns in a cloud environment (AWS, GCP, or Azure). Excellent written and verbal communication skills, including the ability to make complex architectural tradeoffs legible to both engineering and executive audiences. Ability to lead through influence—comfortable setting direction without authority, building consensus, and holding teams to high standards through dialogue. Preferred Experience operating within a data mesh or federated data organization, where platform services and domain-owned data products coexist. Experience with semantic layer design and knowledge graph-based approaches to enriching data for AI and analytics consumption. Background in enterprise data governance—including attribute-based access control, data classification, and regulatory compliance frameworks at scale. Experience in a Customer Zero or product co-development capacity—working directly with a vendor’s product team to influence the roadmap based on real operational experience. Familiarity with Salesforce platform capabilities—Data Cloud, Agentforce, MuleSoft, Tableau Next—from an operator or integration perspective. BS/MS in Computer Science, Software Engineering, or a related technical discipline, or equivalent work experience. The Right Fit Can articulate a three-year platform strategy and still care deeply about whether the API design is right. Is as comfortable writing a proposal for CDO leadership as reviewing a service design with a senior engineer. Sees data governance, semantic enrichment, and observability as foundational AI infrastructure—not compliance overhead. Has strong opinions about what makes a platform trustworthy and scalable, and can back those opinions with data and engineering rationale. Operates with extreme ownership—identifying gaps and closing them, whether that means writing the spec, reviewing the design, or escalating to the right person. 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. Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. ... 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. Compensation & Benefits 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. The typical base salary range for this position is $218,400 - $365,200 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $263,200 - $401,400 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable. #J-18808-Ljbffr salesforce.com, inc.