Senior Technical Architect​/Technical Architect Director - Data Foundation Delivery

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, Mule Soft). 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.

• 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

• 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

• Provide architectural governance and quality assurance across concurrent engagements
• Own delivery risk: exec buy-in, business engagement, scope, and dependency management

• 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,…