Staff Technical Data Architect, Integrations
Core
Design and own the technical architecture for large-scale data ingestion and transformation pipelines that unify global hospitality data into a canonical model.
Role type
Staff Technical Data Architect (Integrations)
Builds
End-to-end data domains and unified canonical data models for real-time intelligence.
Domain
Hospitality technology / Data Engineering / Cloud Infrastructure
Deliverable
production ML models | product features | infrastructure
Required skills
Data architecture design, ETL/ELT pipeline development, complex data transformations, data modeling, integration patterns (schema-drift detection, backfill, replay, idempotency), cloud database solutions, Python for large-scale processing, AI strategy implementation, technical standards definition.
Preferred skills
Hospitality or airline industry experience, experience building third-party API integrations, hands-on experience with agentic AI workflows.
Technologies
Google Cloud Platform (GCP), BigQuery, Spanner, Pub/Sub, Kubernetes, Python, Claude code, Airflow/Composer, Snowflake, Databricks.
Responsibilities
Map current and design future architecture to meet massive data ingestion requirements, dive deep into code and operational tooling to maintain system health, proactively improve architecture and systems design, set up and own data engineering standards and best practices, act as a trusted technical authority for data engineers, collaborate with cross-functional teams to improve architecture maturity, embed AI strategy into integration architecture and pilot AI solutions.
Seniority
Staff, hands-on IC with strategic scope
