Data Mesh & Real-Time Architecture Lead

Dlocal LLP; Barcelona; Hybride; EUR 90 000 - 130 000; Plein temps

Avantages offerts par ce poste

Flexible schedule

Fintech environment

Referral bonus

Work From Anywhere

Résumé du poste

dLocal is seeking a Data Architect to shape a scalable, governed data ecosystem across Data & AI and engineering. You will connect data products, real-time platforms, analytical workloads, ML use cases, and business-facing data consumption with senior-level influence.

You will translate business needs into pragmatic designs, balancing scalability, reliability, latency, security, and cost. Hybrid work in Spain is possible and encouraged.

Qualifications

• 8–10+ years designing scalable data architectures in complex environments.
• Experience with data-mesh principles and domain ownership.
• Deep knowledge of streaming and event-driven systems (Kafka/Kinesis).
• Proficiency with cloud platforms (AWS/GCP) and Databricks ecosystem.
• Strong governance, privacy, security, and observability focus.

Responsabilités

• Define and evolve enterprise data architectures across batch/streaming.
• Lead data-mesh adoption and data-product thinking.
• Set reference architectures for data products, pipelines, and governance.
• Oversee latency, cost, reliability, and data quality in production.
• Guide MLOps and feature-platform capabilities for real-time use cases.

Connaissances

Data architecture

Data mesh

Streaming systems

Kafka

Kinesis

Flink

Spark

Databricks

AWS

GCP

Python

SQL

CI/CD

Infrastructure as code

Observability

MLOps

Feature stores

Data governance

Outils

Databricks

Unity Catalog

Delta Lake

Iceberg

dbt

Airflow

Kafka

Description du poste

dLocal is seeking a Data Architect to shape a scalable, governed data ecosystem across Data & AI and engineering. You will connect data products, real-time platforms, analytical workloads, ML use cases, and business-facing data consumption with senior-level influence.

You will translate business needs into pragmatic designs, balancing scalability, reliability, latency, security, and cost. Hybrid work in Spain is possible and encouraged.