Data Architect

Ziff Davis

Data Architect for Ookla creating scalable data solutions and evolving the data platform for real-time big data processing. Collaborating with teams to ensure data quality, security, and compliance.

Posted 7/15/2026full-timeRemote • 🇪🇸 SpainMid-LevelSenior💰 €80,000 - €95,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing scalable data architectures, including data lakehouses, while effectively bridging communication between data science, product engineering, and stakeholders. Proven ability to mentor teams and establish data governance frameworks to ensure best practices in data management.

Highest-signal resume keywords

Data Architecture DesignPython ProgrammingSQL ProficiencyData Lakehouse ExpertiseStreaming Architecture Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingSoftware ArchitectureDistributed SystemsEvent-Driven ArchitectureAI/ML Familiarity

Soft Skills

Verbal CommunicationWritten CommunicationMentoring

Tools & Technologies

MySQLPostgreSQLRedshiftIcebergAthenaSpark

Industry Keywords

Data GovernanceBig Data ProcessingData PipelinesData StorageTechnical Debt Management

Tech Stack

Tools & technologies

Amazon RedshiftGoJavaMySQLPostgresPythonSparkSQL

About the role

Key responsibilities & impact

Design and implement scalable data models, storages and pipelines for critical product features
Drive the evolution of our data platform to meet future needs of real-time big data processing
Create and evolve architectural roadmaps for the data platform
Turn product requirements into viable and scalable data architectures and implementations
Act as a bridge between data science, product engineering, and stakeholders
Establish and follow data governance frameworks, standards, and best practices
Mentor senior engineers and architects on complex data modeling and distributed system challenges

Requirements

What you’ll need

Extensive experience in software and data architectures, with a focus on designing large-scale data lakehouses
Expert level fluency in programming (Python, Go or Java)
Strong working knowledge of SQL, databases (MySQL, PostgreSQL, Redshift, Iceberg, Athena)
Experience with streaming and event-driven architectures to process high volume data using tools like Spark
Strong understanding of data modeling and modern data architectures like data lakehouses
Experience with AI/ML is nice to have
Proven ability to balance immediate delivery with long-term architectural integrity while managing technical debt
Strong verbal and written communication skills
6+ years of relevant data engineering experience.

Benefits

Comp & perks

competitive salaries in addition to robust, health and wellness-focused benefits
paid time off when you need it
Employee Resource Groups
company-sponsored events
professional growth through educational support, mentorship programs, and career development resources
employee engagement programs and recognition awards