Drimva

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.

Model-written summary · the original posting is authoritative

First seen Oct 10, 2026 · Last verified Nov 5, 2026 (UTC)