Responsibilities
- Architectural authority. Render credible, vendor-neutral “right tool for the job” recommendations across data, AI, and integration — and defend them in conversations ranging from a client CIO to a director-level IT lead.
- Solution integrity. Provide deep technical support for the architecture of both client services engagements and TrebleHook product features, ensuring designs are sound, scalable, and maintainable.
- Practice standards. Establish tooling standards, reference architectures, and reusable patterns that make our delivery repeatable and AI-accelerated.
- Technical mentorship. Guide and develop the integration practice lead and junior architects; raise the technical bar across the team.
- Pre-sales credibility. Partner with sales (including our CEO) on scoping, estimation, and technical storytelling that wins work and sets engagements up to succeed.
Requirements
- Demonstrated ownership of data architecture on real, messy enterprise programs
- Working command of Salesforce Data 360 (Data Cloud), plus Snowflake and/or Databricks
- Clear grasp of warehouse vs. lake vs. lakehouse, and of zero-copy / data federation tradeoffs
- Sound judgment on data modeling, governance, and when RAG vs. fine-tuning vs. structured retrieval applies
- Years of experience integrating enterprise systems across multiple platforms
- Practical depth in at least two of: MuleSoft, Boomi, Azure/Microsoft Fabric, Workato
- Strong direct-API integration skills (REST/SOAP, auth, error handling, throughput)
- Genuine understanding of Salesforce Agentforce capabilities and limits
- Working knowledge of leading foundation models (e.g., Claude, GPT) and how to choose between them
- Clear view of agent design, tool/function calling, MCP, and retrieval grounding
- Ability to translate AI capability into sound, deliverable architecture
- Direct experience architecting on or around the Salesforce platform
- Understanding of core Salesforce data model, sharing model, and governor limits
- Familiarity with Salesforce's AI and data products (Agentforce, Data Cloud)
- 10+ years in enterprise solution architecture, data engineering/architecture, or integration architecture, including senior client-facing and team-leadership exposure
- Exceptional ability to explain technical tradeoffs to both executive and hands-on technical audiences
- Proven success operating in a fully distributed team and contributing to an engaged, energizing remote culture
Nice to Have
- Hands-on with custom SQL databases and modern ELT patterns
- Experience grounding AI/agent solutions in governed enterprise data
- Familiarity with CDC patterns and event-driven data flows
- Exposure to data quality and MDM in mid-market settings
- Background building productized / reusable connectors
- Salesforce integration patterns (Platform Events, CDC, MuleSoft Composer)
- Comfort estimating and scoping custom integration work
- Experience deploying AI in regulated or data-sensitive environments
- Familiarity with the Anthropic / Claude platform and MCP connectors
- Prompt and context engineering for production workflows
- Awareness of AI evaluation, guardrails, and cost/latency tradeoffs
- Salesforce certifications (Architect track preferred)
- Experience with TrebleHook or similar Salesforce ISV/OEM products
- Experience supporting Salesforce-centric pre-sales and scoping
Additional Information
- Fully remote team
- Hands-on, billable leadership role
- Industry experience in AEC (architecture, engineering, construction) or Manufacturing preferred
- Vendor-neutral judgment required
- Comfortable in a small, fast-moving firm
