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Salary: USD 175,000 - 225,000 / annual
Hightouch is an Agentic Marketing Platform powered by a Composable CDP. The company enables marketing teams to analyze performance, brainstorm ideas, and generate creative using AI. Named a Leader in the 2026 Gartner Magic Quadrant for Customer Data Platforms, Hightouch is trusted by enterprises like Domino's, Spotify, Aritzia, Cars.com, Ramp, and PetSmart.
As a Forward Deployed Architect, you will work with a small number of enterprise customers to establish their data architecture vision and deploy AI agents to build it. This is a new role on a growing team where you'll shape playbooks, standards, and engagement models.
Key responsibilities include:
- Run discovery with marketing and data teams to translate business goals into specific activation use cases
- Profile and understand customer data, using agents for initial analysis while you validate and architect solutions
- Create target-state schemas and identity matching rules that make customer data activation-ready
- Design identity matching rules that support the customer's targeting grain (person, household, device, etc.)
- Direct the build by reviewing agent-generated code, rewriting errors, and owning model performance
- Define success metrics, agree them with the customer pre-build, and validate results
- Hand off day-to-day operations while remaining the named architect for ongoing changes and rework
- Build semantic layers, metric definitions, and business logic that enable marketers to ask questions in plain language
- Serve as eyes and ears for product teams, identifying gaps and bringing back actionable insights
You'll work at the intersection of data architecture and AI-driven development, leveraging agents as force multipliers while maintaining rigorous quality control. The role requires deep technical judgment, customer-facing leadership, and the ability to drive alignment across complex stakeholder groups.
REQUIREMENTS:
- 5+ years in a customer-facing technical role: analytics engineering, solutions architecture, forward-deployed engineering, data consulting, or in-house marketing data work at a large brand
- SQL fluency: ability to read and debug complex queries, understand query performance and warehouse costs. Fluent in Snowflake, Databricks, or BigQuery
- Proven ability to drive discovery and alignment across dozens of stakeholders with differing opinions
- Comfort directing AI agents rather than writing code directly; instinct to leverage AI for leverage, not just speed
- Deep understanding of data architecture, identity resolution, and marketing activation workflows
BONUS:
- Experience with dbt, SQLMesh, or similar transformation tooling with git-native, PR-driven workflows
- Prior work with identity resolution, CDPs, or Master Data Management (MDM)
