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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data architecture, SQL fluency, and customer engagement, with a strong focus on defining success metrics and producing reusable reference architectures. Proficient in directing AI agents and managing data models to enhance performance and close data gaps.
Highest-signal resume keywords
Fluency In SQLExperience With Data ArchitectureDirecting AI AgentsFluent In SnowflakeExperience In Customer-Facing Technical Role
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ModelingIdentity ResolutionQuery Performance OptimizationData TransformationMetric Definition
Soft Skills
Customer EngagementCommunication
Tools & Technologies
SnowflakeDatabricksBigQueryDbtSQLMesh
Industry Keywords
Analytics EngineeringSolutions ArchitectureData ConsultingCustomer Data PlatformsMaster Data Management
Tech Stack
Tools & technologiesBigQuerySQL
About the role
Key responsibilities & impact- Run discovery with marketing and data teams to define specific activation use cases
- Profile and interpret customer data and architect solutions that close data gaps
- Create target-state schemas and identity matching rules
- Direct agents in profiling warehouses, proposing models, and generating transformations
- Review, rewrite, and own data models and their performance
- Define, compute, and defend success metrics with customers and senior leaders
- Remain the customer’s named architect for data model, source, and identity graph changes
- Produce reusable reference architectures
- Build semantic layers, metric definitions, and business logic for AI agents
- Identify product gaps and communicate them to product teams
Requirements
What you’ll need- Fluency in SQL
- Fluent in Snowflake, Databricks, or BigQuery
- Experience considering query performance and warehouse cost
- Experience directing AI agents and scrutinizing their output
- 5+ years 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
- Experience with data architecture
- Bonus: dbt, SQLMesh, or similar transformation tooling
- Bonus: git-native, PR-driven workflow
- Bonus: prior work with identity resolution, CDPs, or MDM
Benefits
Comp & perks- Meaningful equity
- Remote-first policy