Data Architect (GCP)

Location: Hybrid from Chiasso, Switzerland; core hours from 10:00 to 16:00. Possibility to work from anywhere for a period of time per year according to local regulations.

Company

hirify.global is a European travel-tech company focused on dynamic holiday packages and technology-powered travel experiences.

What you will do

• Lead the architecture of the modern data stack on BigQuery and dbt, defining patterns, standards, and trade-offs for new and migrated workloads.
• Design and evolve the GCP data platform across BigQuery, Cloud Composer/Airflow, GKE, Cloud Run, Cloud SQL, and GCS.
• Define how data services and AI agents are built and deployed using Terraform and GitLab CI.
• Own batch, CDC, and event-stream ingestion standards for reliability, freshness, cost, and schema evolution.
• Maintain platform foundations for access management, security, FinOps, data lineage, and observability.
• Review designs, document architecture decisions, and create reusable Terraform modules, templates, documentation, and AI context for data engineers and analysts.

Requirements

• Hands-on experience designing and running public-cloud data platforms, ideally on GCP; demonstrated design and delivery matters more than a specific number of years.
• Strong Terraform and CI/CD skills, using GitLab CI or a similar tool, with solid knowledge of cloud IAM, networking, and containerized workloads including Kubernetes and Cloud Run.
• Deep knowledge of BigQuery or a comparable cloud data warehouse, including data modeling, partitioning, clustering, performance, and cost optimization.
• Hands-on experience with dbt and Airflow/Cloud Composer, plus Python for automation and lightweight services.
• Ability to explain architectural trade-offs to technical and non-technical stakeholders and drive decisions through completion.
• Fluent written and spoken English.

Nice to have

• Experience building and deploying AI agents and using AI-assisted development tools such as Claude, including writing instruction files, skills, and glossaries.
• Production experience with data integration and streaming tools such as Airbyte, Debezium/CDC, or Kafka.
• Familiarity with data governance practices including data contracts, lineage, and semantic or metric layers for BI tools and AI agents.

Culture & Benefits

• Permanent full-time employment with a 36-hour working week and a half working day on Fridays.
• Flexible start and end times, with core hours from 10:00 to 16:00.
• International, inclusive environment with colleagues from more than 10 countries and over 48 nationalities.
• Friday morning deep-work, learning, and training time, plus professional development paths and access to e-learning platforms.
• Two paid volunteering days per year, travel-industry discounts, staff fares, and leave options for significant life events.
• Applicants must be legally authorized to work in Switzerland and must not require visa sponsorship.

Hiring process

• HR interview lasting approximately 30 minutes.
• Manager interview focused on soft skills, followed by a team interview focused on technical knowledge.
• Offer extended; the process may vary slightly and further details are provided by the recruiter.