4 hours ago
Base Salary
$175k - $225k/yr
Responsibilities
- Run discovery with customer marketing and data teams to translate business goals into specific data activation use cases.
- Profile customer data and design target-state schemas, identity-matching rules, and Hightouch configurations.
- Direct agents and customer teams in building warehouse models, transformations, and supporting data architecture.
- Review, correct, and own the quality, performance, and cost of generated SQL and data models.
- Define success metrics with customers, calculate outcomes, and defend results to senior leaders.
- Build semantic layers, metric definitions, and business logic that provide context for Hightouch agents.
- Remain the named architectural owner after handoff and create reusable reference architectures.
- Identify product gaps and communicate actionable feedback to product teams.
Requirements
- At least 5 years of experience in a customer-facing technical role such as analytics engineering, solutions architecture, forward-deployed engineering, data consulting, or in-house marketing data work at a large brand.
- Fluency in SQL and experience with Snowflake, Databricks, or BigQuery.
- Ability to understand undocumented warehouse data, evaluate generated SQL, and identify incorrect joins and other data-quality issues.
- Experience driving discovery, clarity, and alignment across complex engagements with many stakeholders.
- Strong data architecture judgment, including experience with customer targeting, identity matching, data modeling, and marketing outcomes.
- Preferred experience with dbt, SQLMesh, or similar transformation tooling and git-native, PR-driven workflows.
- Prior experience with identity resolution, customer data platforms, or master data management is preferred.
Benefits
- Remote-first, location-independent work arrangement.
- Meaningful equity is offered.
About Hightouch
Hightouch builds a composable customer data platform and agentic marketing tools that let companies activate data from their warehouses for targeting, analytics, and campaigns. It sells SaaS used by marketing and data teams, including reverse ETL, identity resolution, and real-time audiences across ads, email, and product channels. Founded in 2019 in San Francisco, it is privately held and counts Domino’s, Spotify, and Ramp among customers.