Remote Data Architect - GCP & BigQuery (Modernization)

BairesDev; España; A distancia; EUR 107.000 - 143.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

100% remote work

USD or local currency compensation

Hardware provided for home setup

Flexible hours

Parental leave and vacations

Descripción de la vacante

BairesDev is seeking a Data Architect to design the data architecture underpinning AI-driven modernization efforts on GCP. You will build BigQuery pipelines and analytics solutions, supporting legacy COBOL systems replatformed in Java, Go, or .NET within a consulting setting.

You will collaborate with distributed teams and client stakeholders to shape data-driven outcomes, leveraging cloud-native architecture and analytics at scale.

Formación

• 8+ years of experience in cloud architecture with GCP.
• Strong data architecture on GCP including BigQuery and analytics pipelines.
• Experience with application modernization, re-architecting legacy systems into Java, Go, or .NET.
• Consulting or professional services background with client-facing delivery experience.
• Advanced proficiency in English.

Responsabilidades

• Design and build data architecture on GCP, including BigQuery and analytics pipelines.
• Support modernization initiatives by architecting data flows for re-platformed systems.
• Define data pipelines and analytics build-outs that scale with modernization efforts.
• Collaborate with client stakeholders and distributed engineering teams in a fully GCP-based environment.

Conocimientos

GCP expertise

Data architecture

Client-facing delivery

English proficiency

Herramientas

BigQuery

GCP

Java

Go

.NET

Descripción del empleo

BairesDev is seeking a Data Architect to design the data architecture underpinning AI-driven modernization efforts on GCP. You will build BigQuery pipelines and analytics solutions, supporting legacy COBOL systems replatformed in Java, Go, or .NET within a consulting setting.

You will collaborate with distributed teams and client stakeholders to shape data-driven outcomes, leveraging cloud-native architecture and analytics at scale.