Principal Customer Data Platform Engineer
Tasks
- Create reverse ETL and audience activation pipelines
- Define collection ingestion and modeling patterns
- Define experiment ready data contracts and feature flag state
- Design consent capture propagation storage and auditing
- Design event schema architecture and governance
- Design real time and batch capture boundaries
- Enforce event schema validation and versioning
- Establish data quality lineage and observability
- Implement consent honored at activation
- Implement identity resolution across web and app
- Integrate consent identity and audience data into MarTech
- Lead cross functional architecture decisions and evaluations
- Maintain technical documentation and decision records
- Manage vendors for delivery quality and fit
- Own customer data platform architecture end to end
- Own data platform contracts for activation flows
- Partner with data product and engineering on use case architecture
- Support experimentation platform warehouse interfaces
Perks/Benefits
Skills/Tech-stack
Audience Activation | BigQuery | CI Checks | Consent Management | Consent Mode | Conversion API | DBT | Data Contracts | Data Lineage | Data Modeling | Deterministic matching | Event schema | Experimentation platforms | Feature Flags | Hightouch | Identity resolution | Integration Patterns | Martech | Observability | Probabilistic matching | Reverse ETL | Schema Registry | Snowflake
Education
N/A
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