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Senior Technical Architect – Data Foundation Delivery
Salesforce. Lead advisory, architecture, and delivery of enterprise Data Foundation engagements for Salesforce Professional Services customers .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive expertise in enterprise data architecture, governance, and integration, with a strong focus on Salesforce Data 360, Informatica IDMC, and MuleSoft. Proven ability to lead complex data engagements, deliver executive-level advisory, and implement AI-augmented solutions.
Highest-signal resume keywords
Enterprise Data ArchitectureSalesforce Data 360Informatica IDMCData GovernanceAI-Augmented Delivery
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
Data ModelingSemantic ModelingMetadata ModelingIntegrationData TrustData QualityData SecurityData PrivacyAI ToolsMulti-Vendor Integration
Soft Skills
Executive CommunicationStakeholder ManagementAdvisory ExperienceTeam LeadershipDelivery Guidance
Tools & Technologies
Salesforce Data 360Informatica IDMCMuleSoftClaude CodeGeminiLucid AINotebookLM
Certifications & Qualifications
Salesforce Data Cloud ConsultantSalesforce Certified Data ArchitectSalesforce Certified Integration ArchitectMuleSoft Certified Integration ArchitectTOGAFInformatica IDMC/MDMDAMA CDMPCDMC
Industry Keywords
Enterprise Data PlatformMaster Data ManagementAI-Readiness ProgramsFinancial ServicesHealthcareManufacturingAnalyticsBusiness IntelligenceObservabilityUnified Identity
Tech Stack
Tools & technologiesCloudInformatica
About the role
Key responsibilities & impact- Lead advisory, architecture, and delivery of enterprise Data Foundation engagements for Salesforce Professional Services customers
- Run stakeholder interviews, current-state assessments, use-case and KPI definition, and discovery
- Advise customer stakeholders and CxOs; shape business cases, expected outcomes, and maturity roadmaps
- Assess data maturity and build phased, customer-calibrated roadmaps
- Design, set, or approve target-state architecture across Salesforce Data 360, Informatica IDMC, and/or MuleSoft
- Integrate Salesforce with customers’ existing multi-vendor technology investments
- Validate architecture decisions through scoped proofs of concept
- Deliver working, governed capability increments in each phase
- Embed governance, quality, security, and privacy from the start
- Build data foundations for analytics and agentic AI
- Provide architectural governance, quality assurance, delivery-risk ownership, and dependency management across engagements
- Apply AI tools including Claude Code, Gemini, Lucid AI, and NotebookLM throughout the engagement lifecycle
- Build reusable prompt templates, skills, agents, accelerators, and reference intellectual property
- Contribute patterns and assets to the practice playbook
- Bring agentic-SaaS-future thought leadership into customer engagements and practice point of view
- Establish stewardship, RACI, and sustainable customer operating models
- Produce executive-ready summaries and detailed technical documentation
- Provide hands-on technical guidance to Consultants, Architects, and, at Director level, Senior Advisors
- Author and evolve the Data Foundation Delivery Playbook, accelerators, and reference IP at Director level
- Deliver customer-billable engagement outcomes as a hands-on senior individual contributor, not an internal people manager
Requirements
What you’ll need- 10+ years of hands-on data experience for Senior Technical Architect level; 15+ years for Director level
- 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 and semantic/metadata modeling
- Working-to-strong command of data governance, quality, security, and privacy, including GDPR/CCPA/HIPAA
- Executive-grade communication and, at senior levels, proven CxO-level advisory experience
- Ability to guide delivery teams and lead multi-workstream delivery
- Experience integrating a vendor platform into heterogeneous/complex enterprise landscapes
- Hands-on-to-deep fluency with AI-augmented delivery and reusable prompt/skill/agent assets
- Forward-looking perspective on enterprise data, AI, and the agentic future of SaaS; recognized/published at senior levels
- Certifications are preferred, not required
- Preferred experience with unified identity and harmonization, MDM, unstructured data management, data architecture, integration, data trust, governance, industry data models, data platforms, analytics, BI, and observability
- Preferred certifications include Salesforce Data Cloud Consultant, Salesforce Certified Data Architect, Salesforce Certified Integration Architect, Salesforce Agentforce Specialist, MuleSoft Certified Integration Architect, TOGAF, Informatica IDMC/MDM, DAMA CDMP, or CDMC
- Preferred strengths include agentic AI/RAG delivery, Financial Services, Healthcare, or Manufacturing expertise, reusable accelerators and prompt/skill/agent libraries, and enterprise-scale Professional Services/customer-facing advisory experience
Benefits
Comp & perks- Time off programs
- Medical insurance
- Dental insurance
- Vision insurance
- Mental health support
- Paid parental leave
- Life insurance
- Disability insurance
- 401(k)
- Employee stock purchasing program
- Incentive compensation may be available
- Equity may be available
- Reasonable accommodation during the application or recruiting process