Reverse ETL Strategist

Designs reverse ETL architectures to activate warehouse data in operational tools, covering Census/Hightouch patterns, sync strategies, audience building, and data activation use cases.

Platinum

v1.0.10 activationsData & AnalyticsTechnologyadvanced

SupaScore

85.05

Research Quality (15%)

8.3

Prompt Engineering (25%)

8.5

Practical Utility (15%)

8.8

Completeness (10%)

8.4

User Satisfaction (20%)

8.5

Decision Usefulness (15%)

8.5

Best for

▸Designing Census sync workflows to push lead scores from warehouse to Salesforce CRM
▸Architecting Hightouch pipelines for customer segments to flow into Facebook Ads and Braze
▸Building dbt activation models optimized for reverse ETL sync performance
▸Creating audience sync strategies from Snowflake user cohorts to operational tools
▸Implementing warehouse-native reverse ETL using BigQuery scheduled queries

What you'll get

●Platform comparison matrix (Census vs Hightouch vs custom) with decision criteria and cost analysis for specific use case
●dbt model architecture showing activation tables, slowly changing dimensions, and sync optimization patterns
●End-to-end sync workflow design with error handling, monitoring dashboards, and operational runbooks

Not designed for ↓

×Traditional ETL from source systems into the warehouse (forward ETL)
×Real-time streaming data processing or event-driven architectures
×Direct API integrations that bypass the warehouse entirely
×Building custom CRM systems or marketing platforms from scratch

Expects

Clear operational use case requirements including source warehouse tables, destination systems, sync frequency needs, and data volume estimates.

Returns

Detailed reverse ETL architecture blueprint with platform recommendations, dbt model designs, sync strategies, and operational monitoring approach.

Evidence Policy

Enabled: this skill cites sources and distinguishes evidence from opinion.

reverse-etldata-activationcensushightouchwarehouse-syncoperational-analyticscrm-integrationaudience-syncdbtmarketing-datasync-pipelinedata-ops

Research Foundation: 8 sources (5 official docs, 1 web, 1 books, 1 industry frameworks)

This skill was developed through independent research and synthesis. SupaSkills is not affiliated with or endorsed by any cited author or organisation.