(PR0065) Data Architect

oin Nortal for your next big adventure. We are seeking a Senior Data Architect to join our team, grow with us, and teach us a few things along the way.

Why join Nortal

Say Goodbye to Micromanagement: We champion autonomy, open communication, and respect for diversity as our core values.

Outcomes Over Hours: We believe in a work model focused on impact, providing you with the flexibility to balance your professional success with your personal well-being.

Vibrant Community: Join our close-knit LATAM remote team and connect through tech talks, virtual coffee breaks, and team-building activities.

Support from Day One: Our People Care team is here to support you throughout your journey, from wellness check-ins to professional growth.

Our benefits ✨

Competitive USD salary.

100% remote work: While you can work from anywhere, you’re always welcome to connect with teammates and grow your network at our coworking spaces across LATAM.

Paid off & national holidays: Take the time you need according to your country’s regulations while receiving your full salary.

Sick leave: Focus on your health without stress. Take the necessary time to recover and feel better.

Annual credit: Spend it on the perks you love to enhance your work-life balance.

Team-building activities: Join us for coffee breaks, tech talks, and after-work gatherings to bond with your Nortal family and feel part of our vibrant community.

Birthday off: Enjoy an extra day off during your birthday week to celebrate in style with friends and family.

About the project

As a Senior Data Architect, you will be responsible for designing, implementing, and optimizing scalable cloud data architectures using Google Cloud Platform (GCP) and BigQuery. You will define data architecture strategies, develop robust data models and integration patterns, and ensure data solutions are secure, governed, high-performing, and cost-efficient. You will also collaborate closely with engineering teams and business stakeholders to translate business requirements into scalable and reliable data solutions.

What you’ll do

Design, develop, and maintain scalable, secure, and high-performance cloud data architectures using Google Cloud Platform (GCP).

Architect and optimize BigQuery-based data solutions , ensuring performance, scalability, reliability, and cost efficiency.

Define and implement data models, data pipelines, and integration patterns to support analytical and business requirements.

Design and oversee ETL/ELT processes for ingesting, transforming, and integrating data from multiple sources.

Establish and maintain data architecture standards, best practices, and design principles across data platforms.

Implement and promote data governance, security, access control, data quality, and compliance best practices.

Monitor and optimize BigQuery queries, storage strategies, partitioning, clustering, and overall cloud costs .

What makes you a great fit 🎯

5+ years of experience in BI, Analytics, or Data Engineering.

Strong experience as a Data Architect.

Advanced expertise in GCP and BigQuery.

Experience designing cloud data architectures, data models, and pipelines.

Knowledge of ETL/ELT, data integration, governance, and security.

Ability to optimize BigQuery performance and costs.

Strong communication and stakeholder management skills.

Global Impact, Local Culture 🌍

For over 25 years, we’ve been shaping digital transformation, delivering complex solutions for global enterprises and public sector organizations. Today, we are at the forefront of an AI-driven transformation era, helping organizations turn data into real business value. By combining deep domain expertise with data and AI, we design solutions that create immediate impact while scaling for the future.

We believe complexity doesn’t have to mean complicated, and that the best solutions are those that work in the real world, not just on paper. That’s why our clients trust us with their most ambitious, business-critical initiatives.

Apply now and let’s shape the future of technology together! 🧑 ‍ 💻

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