Data Architect

Company Overview

Holafly is a high-growth scale-up revolutionising how businesses and travellers connect to the internet abroad. Since 2018, we’ve empowered travellers in over 200 destinations worldwide with secure and reliable eSIM solutions. With a team of 500+ professionals across multiple countries, we are scaling globally to support travellers with seamless, unlimited data connectivity. We’re not just connecting people—we’re enabling freedom and peace of mind, ensuring our users stay connected from the second they land, wherever their journey takes them.

The Role

As our Data Architect, you will design the strategic blueprint for our enterprise data infrastructure, bridging Holafly's global business goals with elite technical execution. Your visionary architecture will empower our teams to leverage real-time data and modern cloud systems, directly shaping the future of global connectivity.

Key Responsibilities

• Design and scale our enterprise data architecture across the Google Cloud Platform (GCP), optimizing our data lakes, BigQuery warehouses, and event-driven infrastructure.

• Architect robust ELT pipelines utilizing dbt to guarantee modular, thoroughly tested, and highly reliable enterprise data models.

• Drive advanced programmatic solutions using Python to automate complex third-party API ingestion and build custom orchestration frameworks.

• Enable low-latency analytics by designing high-performing, real-time streaming pipelines leveraging Google Cloud Dataflow, Pub/Sub, or Kafka for immediate operational use cases.

• Develop secure data APIs and microservices that facilitate efficient, scalable data consumption across internal applications and external partners.

• Establish enterprise data governance and security standards while providing technical leadership and mentorship to our engineering teams.

Qualifications

• 7+ years of senior-level experience as a Data Architect, Modeler, or Lead Engineer with a degree in a quantitative or technical field.

• Expert-level proficiency in Python for high-volume data processing, pipeline orchestration, and API development (e.g., FastAPI).

• Deep hands-on expertise with GCP analytics (BigQuery, Cloud Storage, Composer) and real-time processing architectures, specifically using Dataflow.

• Advanced experience with dbt (Core or Cloud) for building scalable, test-driven dimensional data models.

• Exceptional communication skills, with a proven ability to translate complex cloud architecture strategies for non-technical stakeholders.

Nice to Have

• Google Cloud Certifications (Professional Data Engineer or Professional Cloud Architect).

• Practical experience with modern data concepts like Data Mesh or Lakehouse architectures.

Benefits & Perks

• 25 Days of PTO

• 5% pension contribution

• € 3000 for Medical/Health coverage

• Self development budget of $ 500