Senior Technical Architect / Technical Architect Director - Data Foundation Delivery

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 Customer Success 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. Applications for this position will be accepted on an ongoing basis. This role leads the advisory, architecture, and delivery of enterprise Data Foundation engagements for Salesforce Professional Services customers. Drawing on deep data experience (10+ years for the Senior Technical Architect level; 15+ years for the Director level), you run discovery, set the technical vision, design/approve the target architecture, and drive delivery across a progressive, customer-calibrated maturity journey — advising customer stakeholders (up to CxO level at the Director tier) along the way. You bring the Data Foundation Delivery to life, including core data capabilities, associated frameworks, and the ability to operate across one or more of the platform stack (Salesforce Data 360, Informatica IDMC, MuleSoft). As a Salesforce practitioner/leader, you help customers bring the Salesforce ecosystem into the broader landscape of technology investments they've already made — balancing platform-agnostic execution (interoperable, open-standards, multi-vendor) and platform-centric execution (Salesforce-native), so the data foundation fits the customer's reality rather than forcing a single stack. Every foundation is built with governance, quality, security, and privacy embedded from day one, and serves both traditional analytics for people and agentic AI for machines. You are a hands-on practitioner of AI-augmented professional services delivery and an emerging-to-established thought leader on the agentic future of the SaaS industry — applying a forward-looking perspective on enterprise data, AI agents, and the SaaS ecosystem to how you advise and deliver, and contributing that experience back to the practice's point of view. This is a customer-billable delivery role — a hands-on/senior individual contributor accountable for engagement outcomes and technical leadership, not an internal people-management position. What You Will Do (Key Responsibilities) Advisory & Strategy Lead discovery: stakeholder interviews, current-state assessment, use-case and KPI definition; at senior levels, serve as trusted advisor to customer CxOs and shape the business case Assess data maturity and build a phased, customer-calibrated roadmap Align customer stakeholders and sponsors; contribute to/own the business case and expected outcomes Frame guidance as adaptable options, meeting customers at their entry point (customer-360, regulatory governance, analytics modernization, unstructured/RAG) Represent the practice in complex, high-stakes engagements Architecture & Delivery Design/set/approve target-state architecture across one or more of the platform stack (Salesforce Data 360 / Informatica IDMC / MuleSoft) Deliver both platform-agnostic and platform-centric execution — integrate Salesforce cleanly with (or position it as the center of gravity within) the customer's existing multi-vendor technology investments (data platforms, warehouses, lakes, and tools) Validate architecture decisions through scoped POCs before production build Deliver working software/value every phase — no big-bang, governance-first discipline Embed governance, quality, security, and privacy from the start Build for dual consumption: analytics for people and agentic AI for machines Delivery Oversight & Risk (Director-level emphasis) Provide architectural governance and quality assurance across concurrent engagements Own delivery risk: exec buy-in, business engagement, scope, and dependency management AI-Augmented Delivery Apply/set the standard for AI-augmented professional services delivery — use AI tools (Claude Code, Gemini, Lucid AI, NotebookLM) across the engagement lifecycle to compress effort and raise quality Build (or define the approach for) reusable, capability-driven (not tool-centric) assets: prompt templates, skills, and agents that deliver a capability regardless of underlying tool Work with human-at-the-helm rigor so AI-accelerated output stays trusted, auditable, and grounded; at senior levels, set measurable AI-acceleration targets and quality guardrails Contribute proven patterns and assets back to the practice's playbook, accelerators, and reference IP Industry Thought Leadership (Agentic SaaS Future) Bring (or own) a forward-looking perspective on the agentic future of the SaaS industry into engagements — helping customers build AI-ready, agent-native data foundations Contribute to (or shape) the practice's point of view — POVs, reference patterns, and enablement on where enterprise data and AI agents are heading Grow as, or represent the practice as, an internal and customer-facing voice on agentic delivery Governance & Enablement Establish stewardship, RACI, and sustainable operating models with the customer Produce clear, concise, executive-ready summaries alongside deep technical detail Provide hands-on technical guidance/leadership to Consultants, Architects, and (at Director level) Senior Advisors on the engagement; hand off with runbooks and a sustainable operating model Author and evolve the Data Foundation Delivery Playbook, accelerators, and reference IP (Director level) What You Bring (Preferred Experience) Unified Identity & Harmonization — identity resolution, match/merge, golden records Master Data Management — domains, survivorship, hierarchies, 360 views Unstructured Data Management — document ingestion, chunking, embeddings, RAG grounding Data Architecture & Semantic Modeling — conceptual/logical/physical models, semantic layer, glossary Data Integration, Orchestration & Activation — API-led connectivity, CDC, real-time events, activation Data Trust, Security & Privacy — classification, access control, masking, Einstein Trust Layer Data Governance & Stewardship — catalog, lineage, data quality, stewardship & policy Industry Data Models & Accelerators — FSC, Health Cloud, Manufacturing Cloud blueprints Data Platform & Infrastructure — lakehouse, compute, catalog, cloud foundation Analytics, BI & Data Observability — dashboards, self-service BI, freshness/quality monitoring Required Qualifications 10+ years (Senior Technical Architect) / 15+ years (Director) of hands-on data experience across data & analytics consulting, engineering, architecture, MDM, integration, and governance Demonstrated delivery/leadership of enterprise data platform, MDM, integration, governance, or AI-readiness programs Hands-on/deep expertise with one or more of Salesforce Data 360, Informatica IDMC, MuleSoft Strong-to-authority-level data modeling (conceptual/logical/physical) and semantic/metadata modeling Working-to-strong command of data governance, quality, security, and privacy (e.g., GDPR/CCPA/HIPAA) Executive-grade communication, up to proven CxO-level advisory at senior levels; ability to guide delivery teams and lead multi-workstream delivery Experience integrating a vendor platform into heterogeneous/complex enterprise landscapes — balancing platform-agnostic and platform-centric approaches Hands-on-to-deep fluency with AI-augmented delivery — using AI tools as a core part of the workflow and building reusable prompt/skill/agent assets A forward-looking, and at senior levels recognized/published, perspective on enterprise data, AI, and the agentic future of SaaS Certifications Certifications are preferred, not required — a proven delivery and thought-leadership track record carries the most weight. Preferred Certifications Salesforce Data Cloud Consultant Salesforce Certified Data Architect Salesforce Certified Integration Architect Salesforce Agentforce Specialist (Director) MuleSoft Certified Integration Architect (Sr. Architect level) TOGAF (Director) Additional Pluses Informatica IDMC / MDM certification Salesforce Agentforce Specialist (Sr. Architect level) MuleSoft Certified Integration Architect (Director level) DAMA CDMP or CDMC Preferred / Differentiating Strengths Experience/track record delivering agentic AI / RAG on a governed data foundation Industry depth/expertise in Financial Services, Healthcare, or Manufacturing (industry data models) Track record/history building reusable accelerators and prompt/skill/agent libraries Prior Professional Services / customer-facing advisory or leadership experience at enterprise scale How Success Is Measured (First 12 Months) Certification Attainment: complete required certifications to be compliant and ready for customer engagements Discovery-to-roadmap / Customer impact: consistently produce customer-calibrated maturity assessments and roadmaps that secure signed charters; ramp quickly to be billable on one or more engagements Delivery / Architecture standard: ship working, governed capability increments each phase, with consistent, governed, dual-purpose foundations across the portfolio Advisory impact / Business outcomes: measurable stakeholder alignment and adoption; clear business (not just technical) outcomes realized AI-augmented delivery: apply AI tooling to reduce delivery effort while improving consistency; contribute reusable prompt/skill/agent assets to the practice, adopted team-wide at senior levels Thought leadership: bring a credible agentic-SaaS-future perspective into engagements; at Director level, own a defined, published practice POV shaping customer engagements and market positioning Governance / Enablement: leave every engagement with a sustainable stewardship and operating model; delivery teams ramped and productive through technical leadership 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. Accommodations If you need a reasonable accommodation during the application or the recruiting process, please submit a request via 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. 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. 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: 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 $172,500 - $313,700 annually. 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. #J-18808-Ljbffr