Data Architect

Holafly

Data Architect responsible for designing scalable GCP data platforms and mentoring teams at Holafly. Focus on real-time data processing and secure APIs for global connectivity.

Posted 7/27/2026full-timeDublin • 🇮🇪 IrelandSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and scaling enterprise data architecture on Google Cloud Platform, with a strong focus on building robust ELT pipelines and real-time streaming solutions. Proficient in Python for data processing and API development, while ensuring data governance and security standards are met.

Highest-signal resume keywords

Data Architecture DesignPython ProgrammingGoogle Cloud Platform (GCP)ELT Pipeline DevelopmentData Governance

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Hard Skills

Data ModelingAPI DevelopmentBigQueryDataflowDbtCloud StoragePipeline OrchestrationReal-Time ProcessingEvent-Driven ArchitectureFastAPI

Soft Skills

Exceptional Communication Skills

Tools & Technologies

Google Cloud DataflowPub/SubKafkaCloud Composer

Industry Keywords

Enterprise Data GovernanceData LakesData WarehousingAnalyticsQuantitative Field

Tech Stack

Tools & technologies

BigQueryCloudGoogle Cloud PlatformKafkaMicroservicesPython

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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.

Benefits

Comp & perks

25 Days of PTO
5% pension contribution
€ 3000 for Medical/Health coverage
Self development budget of $ 500