Architect (Marketing)

Hightouch is an Agentic Marketing Platform powered by the industry-leading Composable CDP. With complete brand context, customer data, and performance history in one place, every marketer finally has the power to build and ship end-to-end campaigns themselves. Teams move faster, stay on brand, and get AI marketing that actually works.
Hightouch is an Agentic Marketing Platform powered by the industry-leading Composable CDP. With complete brand context, customer data, and performance history in one place, every marketer finally has the power to build and ship end-to-end campaigns themselves. Teams move faster, stay on brand, and get AI marketing that actually works.
Founded in 2019 and headquartered in San Francisco, Hightouch enables marketing teams to analyze performance, brainstorm ideas, and generate creative at a speed and quality that wasn't previously possible.
Named a Leader in the 2026 Gartner® Magic Quadrant™ for Customer Data Platforms, Hightouch is trusted by leading enterprises like Domino's, Spotify, Aritzia, Cars.At Hightouch, our mission is to help our customers leverage data and AI to grow their businesses. If you're energized by velocity, obsessed with raising the bar, and want to build alongside people who care deeply about each other and our customers, we'd love to meet you.
Those agents rely on a solid data foundation and set of context, which is what this role is for. You go into our most complex enterprise customers and set the vision for their architecture, deploy a team of agents to build it, and you catch and solve any quality issues along the way.
You'll work with a small number of enterprise customers to figure out what they need, champion a specific implementation plan, and build it yourself or in conjunction with the customer's team. This is a new role on a team we're building now. Our platform does the heavy lifting. You drive the vision for the data architecture and have the judgment to dive into the details when the details are what matter. The best candidates are fluent in marketing outcomes and customer engagement, with real depth in data.
Establish what the customer is trying to do. Run discovery with marketing and data teams and get from "we want better targeting" to specific activation use cases.
Profile and understand the data, with agents doing the first pass and you deciding what it actually means, so you can architect a solution that closes data gaps at the customer and lands them with a working Hightouch configuration
Create target-state schemas and identity matching rules that make a customer’s data activation-ready
Deeply understand how the customer targets and at what grain — e.g., Put agents to work profiling the warehouse, proposing models and generating transformations. Review everything they produce, rewrite what they get wrong, and own the models and their performance regardless of who or what typed them.
Define the number that proves it worked, agree it with the customer before the build starts, compute it, and defend it to senior leaders
You remain the named person they and their account manager come back to when the data model changes, new sources land, or their identity graph needs rework. You produce reference architectures the next engagement can reuse
The semantic layer, metric definitions and business logic you encode are what let a marketer at a Fortune 500 ask a question in plain language and get an answer worth acting on. You'll point them at warehouses with undocumented tables and no reliable dictionary, and you'll be the last judgment before what they build ships to millions of people. SQL Fluency. Anyone can generate a thousand lines of SQL now. Fluent in Snowflake, Databricks or BigQuery, with query performance and warehouse cost as things you think about unprompted.
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.
The work is data architecture. Bonus Points

dbt, SQLMesh or similar transformation tooling;