Senior Data Architect – Real-Time Lakehouse & AI

Ookla, LLC.; España; On-site; EUR 80,000 - 95,000; Full time

Job summary

Ookla is seeking a Data Architect to lead the evolution of our data platform that powers Speedtest and other data products. You will design scalable data models, storages and pipelines to meet real-time analytics, AI/ML integration, and compliance requirements.

You will collaborate with data science, product engineering, and stakeholders to translate business strategy into technical vision while maintaining data governance and security standards. A strong communication skillset is essential.

Qualifications

• Extensive experience in software and data architectures, focusing on large-scale data lakehouses.
• Strong fluency in Python, Go or Java and SQL with experience in modern databases.
• Experience with streaming/big data processing and AI/ML integration is a plus.
• Background check is required.

Responsibilities

• Creating and evolving architectural roadmaps for the data platform, ensuring alignment with product goals and long-term technical scalability.
• Turn product requirements into viable and scalable data architectures and implementations in a high data volume environment.
• Act as a bridge between data science, product engineering, and stakeholders to translate business strategy into technical vision.
• Establish and follow data governance frameworks, standards, and best practices to ensure data quality, security, and compliance.
• Raising the technical bar by mentoring senior engineers and architects on complex data modeling and distributed system challenges.

Skills

Python

Go

Java

SQL

Data Modeling

Tools

Spark

Redshift

Iceberg

Athena

MySQL

PostgreSQL

Job description

Ookla is seeking a Data Architect to lead the evolution of our data platform that powers Speedtest and other data products. You will design scalable data models, storages and pipelines to meet real-time analytics, AI/ML integration, and compliance requirements.

You will collaborate with data science, product engineering, and stakeholders to translate business strategy into technical vision while maintaining data governance and security standards. A strong communication skillset is essential.