Salesforce
Senior Technical Architect / Technical Architect Director - Data Foundation Delivery
$172K–$314K
Indiana - Remote +7 · Remote Customer-Based · Director · Full-time · Posted Sep 24, 2026
- Location
- Indiana - Remote
Ohio - Remote
Florida - Remote
Massachusetts - Remote
Colorado - Remote
North Carolina - Remote
Georgia - Remote
Illinois - Remote - Experience
- 10+ years (Senior Technical Architect) / 15+ years (Director).
About the job
Leads customer-facing advisory, architecture, and delivery of enterprise Data Foundation engagements, combining governed data platforms with analytics and agentic AI capabilities.
What you'll do
- Lead discovery, assess data maturity, shape business cases, and create phased customer roadmaps.
- Design and oversee delivery of enterprise data architectures, integrations, and working capability increments.
- Apply AI-augmented delivery practices and provide technical leadership, governance, and reusable assets.
What they ask for
- 10+ years (Senior Technical Architect) or 15+ years (Director) of hands-on data experience across consulting, engineering, architecture, MDM, integration, and governance.
- Demonstrated delivery or 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 and semantic/metadata modeling.
- Experience integrating vendor platforms into complex enterprise landscapes; fluency with AI-augmented delivery and executive-grade communication.
Nice to have
- Certifications are preferred, not required; listed certifications include Salesforce Data Cloud Consultant and Salesforce Certified Data Architect.
- Experience with agentic AI/RAG, industry depth in Financial Services, Healthcare, or Manufacturing, or reusable accelerators.
Pay
$172,500 - $313,700 annually (base salary)
Tools
Salesforce Data 360, Informatica IDMC, MuleSoft, Claude Code, Gemini, Lucid AI, NotebookLM, Einstein Trust Layer
AI focus
Use AI tools across the delivery lifecycle; create reusable prompts, skills, and agents; build governed data foundations for agentic AI and contribute agentic SaaS thought leadership.
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