Lead Data Engineer

Define event schemas, required fields, and compatibility rules in collaboration with the CDP team

Implement automated validation and contract enforcement to prevent breaking schema changes

Maintain versioning and compatibility guarantees for event producers and downstream consumers

Build and maintain pipelines that ingest, validate, and process high-volume product events

Ensure event streams are deduplicated, ordered correctly, and safe for downstream consumption

Partner with platform teams to ensure ingestion pipelines scale with product growth

Define and maintain identity stitching logic across anonymous and authenticated users

Handle identity merges, splits, and corrections while preserving tenant boundaries

Ensure identity resolution remains explainable, deterministic, and safe for downstream datasets

Design workflows that allow event datasets and identity graphs to be replayed or rebuilt safely

Build tooling for historical corrections, schema evolution, and dataset reprocessing

Ensure downstream models can be rebuilt without manual intervention when definitions evolve

Provide guidance and tooling that help product teams emit events consistently

Maintain validation checks and schema enforcement that catch instrumentation issues early

Collaborate with engineering teams to evolve instrumentation safely over time

Ensure deletion and suppression requests propagate correctly through event and identity pipelines

Partner with governance and security teams to support policy requirements

Define requirements and interfaces for event infrastructure and downstream analytical systems

Work with platform teams to ensure pipelines remain reliable, scalable, and observable.