Data Architect

Reposted One Month Ago
Be an Early Applicant
Hiring Remotely in Spain
Remote
80K-95K Annually
Senior level
Digital Media
The Role
Design and evolve a scalable data platform and lakehouse for real-time big-data processing, low-latency analytics, and compliance. Translate product needs into architectures, establish governance, mentor engineers, and support AI/ML integration.
Summary Generated by Built In

The Opportunity

We’re looking for a Data Architect to join the Ookla solutions architecture team to drive the evolution of our data platform that powers Speedtest and our other data products. As a data architect, you will play a key role in evolving our data platform to meet the future needs of real-time big data processing, low latency analytical queries, AI/ML integration, and compliance requirements. In this role, you will design and implement scalable data models, storages and pipelines for critical product features that meet both our end users' and internal stakeholders' requirements while ensuring international compliance.

We are looking for world class talent and the applicants should have hands-on skills and attitude, a strong technical background in software and data architectures, and excellent communication skills.

Key Responsibilities

  • Creating and evolving architectural roadmaps for the data platform, ensuring alignment with product goals and long-term technical scalability.

  • You are able to turn product requirements to viable and scalable data architectures and implementations in a high data volume environment.

  • Acting as a bridge between data science, product engineering, and stakeholders to translate business strategy into technical vision.

  • You are able to 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.

Job Requirements

We are looking for the right person, not the exact list of requirements. If you believe your experience has prepared you for similar challenges, we’d like to hear from you.

  • 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) and 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.

  • Background check is required.

About 

Ookla, an Accenture company, is a global leader in connectivity intelligence that brings together the trusted expertise of Speedtest®, Downdetector®, Ekahau®, and RootMetrics® to deliver unmatched network and connectivity insights. By combining multi-source data with industry-leading expertise, we transform network performance metrics into strategic, actionable insights.

 

Our solutions empower service providers, enterprises, and governments with the critical data and insights needed to optimize networks, enhance digital experiences, and help close the digital divide. At the same time, we amplify the real-world experiences of individuals and businesses that rely on connectivity to work, learn, and communicate. From measuring and analyzing connectivity to driving industry innovation, Ookla helps the world stay connected.

 

 

About Accenture

Accenture helps the world’s leading enterprises reinvent by building their digital core and unleashing the power of AI to create value at speed for organizations across industries. Our strategy is to be the reinvention partner of choice for our clients and lead in the safe, widespread adoption of AI, and to be the most client focused, AI-enabled, great place to work in the world. We bring together the talent of our approximately 799,000 people with proprietary assets and platforms, deep process and industry expertise, and leading ecosystem relationships to deliver end-to-end solutions and measurable outcomes at scale. Through our Reinvention Services, we offer broad expertise across Cybersecurity, Digital Core, Finance, Industry and Enterprise, Song, Supply Chain and Engineering, and Talent, with advanced capabilities in AI and Data, Industry and Process, and Technology. We serve approximately 9,000 clients and generated approximately $70 billion in FY25 revenue. Visit us at accenture.com.

 

Compensation Range 

Ookla provides a range for the base pay. Factors that may be used to determine your actual pay may include your specific job related knowledge, skills, experience, and geographic location. The salary compensation for this role is €80,000 - €95,000. Individual pay within the compensation range for this business unit specific role is determined based on a variety of factors including experience, scope of the role, capabilities to perform the role, education and training, as well as business and company performance.

Skills Required

  • 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 and databases (MySQL, PostgreSQL, Redshift, Iceberg, Athena).
  • Experience with streaming and event-driven architectures for high-volume data processing (tools like Spark).
  • Strong understanding of data modeling and modern data architectures like data lakehouses.
  • Experience with AI/ML.
  • Proven ability to balance immediate delivery with long-term architectural integrity and manage technical debt.
  • Strong verbal and written communication skills and ability to act as a bridge between teams.
  • 6+ years of relevant data engineering experience.
  • Background check required.

Ziff Davis Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Ziff Davis and has not been reviewed or approved by Ziff Davis.

  • Healthcare Strength — Employer covers a substantial portion of medical costs and offers multiple plan choices with supportive features such as HSA options, low-deductible access points, and telemedicine. Wellbeing resources and mental health support further reinforce the overall healthcare offering.
  • Parental & Family Support — Generous paid parental leave for birth and non-birth parents is complemented by family‑planning support and practical assistance like medical travel and related logistics. Additional caregiving leave and adoption assistance are also described.
  • Leave & Time Off Breadth — Flexible Time Off in several regions and dedicated Volunteer Time Off indicate a broad approach to rest and community engagement. Company holidays and paid sick time add to overall time‑off flexibility.

Ziff Davis Insights

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The Company
HQ: New York, NY
2,138 Employees
Year Founded: 1927

What We Do

Ziff Davis (Nasdaq: ZD) is a vertically focused digital media and internet company whose portfolio includes leading brands in technology, entertainment, shopping, health, cybersecurity, and martech.

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