Partner with product managers, marketers, and engineers to define, implement, and QA Segment tracking plans, ensuring consistent and reliable event data across all surfaces (web, mobile, backend)
Act as a technical owner for Segment event pipelines, monitoring schema drift, naming violations, destination delivery issues, and Protocols violations
Develop and manage custom mappings, traits, and transformations in Segment (including Segment Functions) to power downstream destinations like Braze, Amplitude, and Snowflake
Enable the marketing team to activate audiences and campaigns by ensuring accurate and timely data flows to destinations
Collaborate with data platform engineers to scale our Airflow-based orchestration and build testing frameworks for event and customer data quality
Conduct periodic audits, validation tests, and regressions to ensure data completeness and integrity across environments
Maintain documentation, event naming conventions, and cross-functional education efforts to drive better data literacy and consistency in instrumentation

3+ years of experience as a Data or Analytics Engineer with a focus on event-based data systems and customer data platforms
Deep familiarity with CDPs (ideally Segment) including tracking plans, Protocols, Connections, Destinations, and Functions
Understanding of SQL, dbt, Snowflake
Experience writing event schemas and partnering with developers on instrumentation across web, mobile, and backend systems
Understanding of key marketing concepts like user identity, traits, conversion tracking, campaign attribution, and event triggers
A passion for data quality, validation, and monitoring practices, especially around marketing and experimentation data
Familiarity with tools like Braze, Amplitude, Google Ads, or Facebook Pixel through Segment destinations
Familiarity with Airflow, Python/pandas, Git, and general data workflow management
Excellent collaboration skills and the ability to communicate clearly with both technical and non-technical stakeholders

Data Analytics Engineer

Key skills