Staff Technical Data Architect

Who you are

• You come from a strong hands-on background in data engineering, with deep experience in ETL/ELT, data pipelines, complex data transformations, and data modelling. Ideally, you have worked as a senior data engineer on various types of data architectures and pipelines at scale before transitioning to a data architect role
• You have proven experience as a data architect incl. on (cloud) systems level, ideally across multiple teams, domains or projects
• You have experience in a (data) integration context, where robustness, reusable connector and ingestion frameworks, external integration patterns like schema-drift detection, backfill and replay, idempotency are key
• You get energized from optimizing technical architectures, structure, tooling, support and other processes, and from designing future-proof architectures in a fast-moving environment
• You have a proactive, "can-do" attitude, viewing challenges as opportunities and inspiring a positive, solution-oriented mindset
• You excel at seeing the bigger picture, breaking down large architectural projects into clear, scoped technical initiatives
• You have strong knowledge of data cloud technologies, data-related services and systems (like Google Cloud Pub/Sub, Google Cloud Composer/Airflow), and cloud database solutions (like BigQuery, Spanner, Snowflake, or Databricks)
• Professional proficiency in Python for large-scale data processing and pipeline development
• You are a forward-thinking architect who views AI as a core part of modern architecture. You have hands-on experience in working with AI tools and agentic workflows to ship higher-quality work, faster
• You are fluent in English, with excellent communication and stakeholder management skills
• We welcome:
• Experience building integrations with third-party APIs and other external data sources
• Experience within the hospitality technology sector or similar industries (e.g. airline industry)
• Google Cloud Platform (GCP), BigQuery, Spanner, Pub/Sub, Kubernetes, Python, Claude code
• Not ticking every box? No problem! We value diverse backgrounds and unique skill sets, and we encourage individuals from all walks of life to apply. If your experience looks a little different from what we've described, but you're passionate about what we do and are a quick learner, we'd love to hear from you!

What the job involves

• The Lighthouse Integrations Engineering teams are responsible for large-scale ingestion and transformation of hospitality data into Lighthouse’s data infrastructure
• We build and maintain complex data pipelines handling large data sets from a wide range of connected hospitality systems
• On a daily basis, our integrations data pipelines process millions of hotel reservations, tens of millions of prices, transactions and other data points from hundreds of integrated systems, hundreds of terabytes of daily data
• As Staff Technical Data Architect, Integrations, you will own the technical architecture of our Integration domains, a set of end-to-end data domains, unifying the world's hospitality data into a strategic unified canonical data model
• This is a high-impact role where you will see your work directly translate into real-world applications that impact hotels worldwide
• The role requires you to combine strong technical experience in data architecture and data engineering with a good sense of business acumen, product affinity and a drive for excellence
• Own the technical architecture of the data systems and pipelines that ingest and transform the massive volume of data powering our products. Your work spans multiple engineering teams and domains
• Gather requirements to realize the product and technical vision and to ingest and process the massive data sets we retrieve from third party systems
• Map out our current architecture, analyze and design the required future architecture to meet these requirements
• Help build, test, maintain, support and evolve the current and future architecture. Regularly dive deep into code, operational tooling, cloud resources, logs, monitoring, data quality, to stay grounded in the day-to-day reality of data engineering work
• Proactively and continuously improve the architecture and systems design
• Set up and own standards and best practices in data engineering and data architecture at scale
• Be a trusted go-to technical authority for the data engineers, fostering a culture of technical excellence and high quality
• Collaborate with the architects and leaders in other engineering and product teams, and in other parts of the organization to improve our organization’s architecture maturity
• Embed AI strategy in the Integrations architecture, and set the standard for how AI is applied across the department in architecture and engineering work. Identify and prioritize AI initiatives across our pipelines, tooling and engineering workflows; design and pilot those solutions

Benefits

• Vision & dental Insurance
• Work from home opportunities
• Health insurance