{"schemaVersion":"jobsearcher.job.v1","id":"293afbaa0a491a04feae5248","url":"https://jobsearcher.com/jobs/293afbaa0a491a04feae5248","canonicalUrl":"https://jobsearcher.com/jobs/293afbaa0a491a04feae5248","title":"Architect Engineer, Data Platform Services","description":"About the Role Data Platform Services (DPS) is engineering the data foundation that powers Salesforce's AI transformation. We build and operate platforms that make trusted, governed, and semantically rich data available at the speed and scale demanded by Agentforce and next‑generation AI products. 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 is consumed by Salesforce’s largest internal business units every day.\nThis is DPS’s most senior individual contributor role. You will define and lead the technical strategy for this platform, shape how it evolves to support AI‑native consumption patterns, set the standards that engineering teams build to, and be the technical voice that connects platform capabilities to Salesforce’s broader AI and data strategy.\nWhat You’ll Do AI Readiness Strategy : Define how the DPS platform evolves to support AI‑native workloads, including how data is governed, enriched, and surfaced for reliable consumption by AI agents and LLM pipelines.\nData‑as‑a‑Product Platform : Own the technical vision for transforming raw datasets into high‑fidelity, discoverable, and agent‑ready assets and define global standards for automated data contracts, versioned schemas, and enforceable SLAs.\nEngineering Standards & Architecture : Set the standards governing how DPS teams design, build, and operate platform services — API design, data contracts, reliability, observability, and secure‑by‑default ownership — and drive adoption across the organization.\nPlatform Reliability & Scale : Lead the reliability and scalability strategy for DPS platform services, establishing architectural principles, SLO frameworks, and operational standards that govern performance at enterprise scale.\nTechnical Leadership : Serve as the authoritative technical voice across design reviews, cross‑team architecture decisions, and long‑range planning, surfacing tradeoffs clearly, resolving dependencies, and partnering with Engineering Directors to connect technical investment to business outcomes.\nEngineering Multiplier : Invest in coaching PMTS and senior engineers across DPS, raise the technical quality of the organization through shared design patterns and written proposals, and represent DPS’s technical vision to CDO leadership and peer platform teams.\nCustomer Zero : 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 operator, and collaborating with Product teams to influence the roadmap.\nWhat 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.\nDemonstrated ability to define and drive a multi‑year technical strategy for a platform organization and make it legible and actionable for engineering and business audiences.\nDeep expertise in distributed systems design, cloud‑native platform architecture, and the reliability and scalability patterns that govern enterprise‑scale platform services.\nStrong understanding of data platform architecture, including lakehouse design, data catalog and governance, data contract frameworks, and metadata management.\nExperience 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.\nFluency in agentic development patterns, from prompt and tool design through evaluation, deployment, and observability, with a working understanding of how platform decisions shape agent capabilities.\nTrack record of setting engineering standards—data quality frameworks, automated data contracts, and SLA enforcement—and building the culture and tooling that makes those standards easy to adopt across teams.\nWorking knowledge of infrastructure‑as‑code, containerization (Kubernetes, Docker), and CI/CD patterns in a cloud environment (AWS, GCP, or Azure).\nExcellent written and verbal communication skills, including the ability to make complex architectural tradeoffs legible to both engineering and executive audiences.\nAbility to lead through influence, setting direction without authority and building consensus while holding teams to high standards.\nBS/MS in Computer Science, Software Engineering, or a related technical discipline, or equivalent work experience.\nPreferred Experience operating within a data mesh or federated data organization where platform services and domain‑owned data products coexist.\nExperience with semantic layer design and knowledge graph‑based approaches to enriching data for AI and analytics consumption.\nBackground in enterprise data governance—including attribute‑based access control, data classification, and regulatory compliance frameworks at scale.\nExperience in a Customer Zero or product co‑development capacity, working directly with a vendor’s product team to influence the roadmap based on operational experience.\nFamiliarity with Salesforce platform capabilities—Data Cloud, Agentforce, MuleSoft, Tableau Next—from an operator or integration perspective.\nThe Right Fit Considers the intersection of platform engineering, AI readiness, and technical strategy.\nCan articulate a three‑year platform strategy and still care deeply about whether the API design is right.\nWrite proposals for CDO leadership as comfortably as reviewing a service design with a senior engineer.\nViews data governance, semantic enrichment, and observability as foundational AI infrastructure, not compliance overhead.\nHas strong opinions about what makes a platform trustworthy and scalable, backed by data and engineering rationale.\nOperates with extreme ownership, identifying gaps and closing them—whether by writing the spec, reviewing the design, or escalating to the right person.\nAccommodations If you need a reasonable accommodation during the application or recruiting process, please submit a request via the Accommodations Request Form.\nPosting Statement / EEO Salesforce is an equal‑opportunity employer and maintains a policy of non‑discrimination with all employees and applicants, respecting rights to merit‑based assessment 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 protected classifications. Recruiting, hiring, and promotion decisions are fair and based on merit. Compensation is determined by location, job level, job‑related knowledge, skills, and experience.\n\n#J-18808-Ljbffr","company":"100 Salesforce","rawCompany":"100 salesforce","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-07-05T03:21:52.494Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Architect Engineer, Data Platform Services","description":"About the Role Data Platform Services (DPS) is engineering the data foundation that powers Salesforce's AI transformation. We build and operate platforms that make trusted, governed, and semantically rich data available at the speed and scale demanded by Agentforce and next‑generation AI products. 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 is consumed by Salesforce’s largest internal business units every day.\nThis is DPS’s most senior individual contributor role. You will define and lead the technical strategy for this platform, shape how it evolves to support AI‑native consumption patterns, set the standards that engineering teams build to, and be the technical voice that connects platform capabilities to Salesforce’s broader AI and data strategy.\nWhat You’ll Do AI Readiness Strategy : Define how the DPS platform evolves to support AI‑native workloads, including how data is governed, enriched, and surfaced for reliable consumption by AI agents and LLM pipelines.\nData‑as‑a‑Product Platform : Own the technical vision for transforming raw datasets into high‑fidelity, discoverable, and agent‑ready assets and define global standards for automated data contracts, versioned schemas, and enforceable SLAs.\nEngineering Standards & Architecture : Set the standards governing how DPS teams design, build, and operate platform services — API design, data contracts, reliability, observability, and secure‑by‑default ownership — and drive adoption across the organization.\nPlatform Reliability & Scale : Lead the reliability and scalability strategy for DPS platform services, establishing architectural principles, SLO frameworks, and operational standards that govern performance at enterprise scale.\nTechnical Leadership : Serve as the authoritative technical voice across design reviews, cross‑team architecture decisions, and long‑range planning, surfacing tradeoffs clearly, resolving dependencies, and partnering with Engineering Directors to connect technical investment to business outcomes.\nEngineering Multiplier : Invest in coaching PMTS and senior engineers across DPS, raise the technical quality of the organization through shared design patterns and written proposals, and represent DPS’s technical vision to CDO leadership and peer platform teams.\nCustomer Zero : 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 operator, and collaborating with Product teams to influence the roadmap.\nWhat 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.\nDemonstrated ability to define and drive a multi‑year technical strategy for a platform organization and make it legible and actionable for engineering and business audiences.\nDeep expertise in distributed systems design, cloud‑native platform architecture, and the reliability and scalability patterns that govern enterprise‑scale platform services.\nStrong understanding of data platform architecture, including lakehouse design, data catalog and governance, data contract frameworks, and metadata management.\nExperience 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.\nFluency in agentic development patterns, from prompt and tool design through evaluation, deployment, and observability, with a working understanding of how platform decisions shape agent capabilities.\nTrack record of setting engineering standards—data quality frameworks, automated data contracts, and SLA enforcement—and building the culture and tooling that makes those standards easy to adopt across teams.\nWorking knowledge of infrastructure‑as‑code, containerization (Kubernetes, Docker), and CI/CD patterns in a cloud environment (AWS, GCP, or Azure).\nExcellent written and verbal communication skills, including the ability to make complex architectural tradeoffs legible to both engineering and executive audiences.\nAbility to lead through influence, setting direction without authority and building consensus while holding teams to high standards.\nBS/MS in Computer Science, Software Engineering, or a related technical discipline, or equivalent work experience.\nPreferred Experience operating within a data mesh or federated data organization where platform services and domain‑owned data products coexist.\nExperience with semantic layer design and knowledge graph‑based approaches to enriching data for AI and analytics consumption.\nBackground in enterprise data governance—including attribute‑based access control, data classification, and regulatory compliance frameworks at scale.\nExperience in a Customer Zero or product co‑development capacity, working directly with a vendor’s product team to influence the roadmap based on operational experience.\nFamiliarity with Salesforce platform capabilities—Data Cloud, Agentforce, MuleSoft, Tableau Next—from an operator or integration perspective.\nThe Right Fit Considers the intersection of platform engineering, AI readiness, and technical strategy.\nCan articulate a three‑year platform strategy and still care deeply about whether the API design is right.\nWrite proposals for CDO leadership as comfortably as reviewing a service design with a senior engineer.\nViews data governance, semantic enrichment, and observability as foundational AI infrastructure, not compliance overhead.\nHas strong opinions about what makes a platform trustworthy and scalable, backed by data and engineering rationale.\nOperates with extreme ownership, identifying gaps and closing them—whether by writing the spec, reviewing the design, or escalating to the right person.\nAccommodations If you need a reasonable accommodation during the application or recruiting process, please submit a request via the Accommodations Request Form.\nPosting Statement / EEO Salesforce is an equal‑opportunity employer and maintains a policy of non‑discrimination with all employees and applicants, respecting rights to merit‑based assessment 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 protected classifications. Recruiting, hiring, and promotion decisions are fair and based on merit. Compensation is determined by location, job level, job‑related knowledge, skills, and experience.\n\n#J-18808-Ljbffr","datePosted":"2026-07-05T03:21:52.494Z","dateModified":"2026-07-05T03:21:52.494Z","hiringOrganization":{"@type":"Organization","name":"100 Salesforce","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"293afbaa0a491a04feae5248"},"url":"https://jobsearcher.com/jobs/293afbaa0a491a04feae5248"}}