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

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.

• 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 / Mule Soft)
• 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…