Staff Data Architect, Integrations – AI-Driven Data

Lighthouse; Oost-Vlaanderen; Hybride; EUR 120 000 - 180 000; Plein temps

Avantages offerts par ce poste

Flexible time off

Career development

Impactful work

Mobility budget

Net allowance

Lunch vouchers

Comprehensive health insurance

Pension funding

Referral bonuses

Résumé du poste

Lighthouse is seeking a Staff Technical Data Architect, Integrations to lead the technical architecture of our data ingestion and transformation pipelines. You will own end-to-end data domains, unifying hospitality data into a strategic canonical model and guiding engineering teams across multiple domains.

Your work will shape how we ingest, process, and apply data at scale, with a strong focus on AI-enabled architecture and high-quality delivery.

Qualifications

• We are seeking a hands-on data architect with strong data engineering background.
• Experience designing end-to-end data architectures at scale is required.
• Proficiency with ETL/ELT, data modelling, and cloud data platforms is essential.

Responsabilités

• Own the technical architecture of the data systems and pipelines powering Lighthouse products.
• Ingest and transform large data volumes from hospitality systems into a unified canonical model.
• Define standards for data engineering at scale and mentor data engineers.
• Collaborate with architects and product teams to evolve the architecture.

Connaissances

Data engineering

Data architecture

ETL/ELT

Cloud data platforms

Python

English (Fluent)

Outils

Google Cloud Pub/Sub

Google Cloud Composer/Airflow

BigQuery

Spanner

Snowflake

Databricks

Kubernetes

Python

Claude code

Description du poste

Lighthouse is seeking a Staff Technical Data Architect, Integrations to lead the technical architecture of our data ingestion and transformation pipelines. You will own end-to-end data domains, unifying hospitality data into a strategic canonical model and guiding engineering teams across multiple domains.

Your work will shape how we ingest, process, and apply data at scale, with a strong focus on AI-enabled architecture and high-quality delivery.