HighLevel - 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.