(1601) Senior Data Platform and Automation Engineer

Nortal; São Paulo; Remote; BRL 601,000 - 902,000; Full time

Benefits offered by this job

Competitive USD salary

100% remote work

Paid time off

National holidays celebrated

Sick leave

Refundable annual credit

Team-building activities

Birthday day off

Job summary

Nortal is seeking a senior engineer to design secure, scalable data platform capabilities and governance automation. You will collaborate with domain experts, product managers, and governance teams to deliver reusable platform services and robust controls.

Join a fast-growing, autonomous team working 100% remotely in LATAM, with opportunities to mentor others, shape technical direction, and contribute to AI-enabled data initiatives across diverse clients.

Qualifications

• Bachelor’s degree in Computer Science, Data Engineering, Software Engineering, or a related STEM field.
• 6+ years of software/data engineering experience or equivalent demonstrated skill.
• 6+ years with Python, SQL, distributed processing, data modeling, and modern data engineering frameworks.
• Strong experience with cloud data platforms, data catalogs, metadata, lineage, data quality, and access controls.
• Experience with Databricks, Unity Catalog, Data Lake, Apache Spark, or comparable technologies.
• Experience with CI/CD, automated testing, environment separation, and production deployment.
• Experience building secure APIs, MCP servers, or tools for enterprise and AI-enabled applications.
• Experience with enterprise identity, RBAC, service accounts, secrets management, and least-privilege security.
• Full lifecycle experience: architecture, development, deployment, and production support.
• Nice to have: GitLab CI/CD or comparable; policy-as-code, infrastructure-as-code, and configuration-driven platforms; experience building data marketplaces, governance platforms, or internal developer platforms; familiarity with privacy, security, regulatory, and AI governance controls; experience in regulated or risk-sensitive environments.

Responsibilities

• Architect secure, scalable data platform and governance automation capabilities.
• Build automated controls for metadata, ownership, lineage, data quality, access, and policy enforcement.
• Develop secure APIs, MCP tools, and integrations for enterprise and AI-enabled applications.
• Build automated validation, testing, deployment, and monitoring across environments.
• Own production-quality code, tests, documentation, and operational guidance.
• Mentor other engineers and guide technical direction across teams.

Skills

Python

SQL

Distributed processing

Data modeling

Data engineering frameworks

Cloud data platforms

Data catalogs

Metadata

Data lineage

Data quality

Access controls

Databricks

Unity Catalog

Apache Spark

CI/CD

Automated testing

Environment separation

Production deployment

Secure APIs

MCP servers

Identity & RBAC

Secrets management

Least-privilege security

Full lifecycle

Policy as code

Infrastructure as code

Data marketplaces

Governance platforms

AI governance

Education

Bachelor's in STEM

Master's in STEM

Tools

Databricks

Unity Catalog

Data Lake

Apache Spark

Job description

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

Explore the Nortal experience!

Join our close-knit LATAM remote team: Connect through fun activities like coffee breaks, tech talks, and games with your team-mates and management.

Say goodbye to micromanagement! We champion autonomy, open communication, and respect for diversity as our core values.

Your well-being matters: Our People Care team is here from day one to support you with everything from time-off requests to wellness check-ins.

Plus, our Accounts Management team ensures smooth, effective client relationships, so you can focus on what you do best.

Ready to grow with us?

Here’s what we offer you by joining us!

• Competitive USD salary – We value your skills and contributions!
• 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 time off – Take the time you need according to your country's regulations, all while receiving your full salary. Rest, recharge, and come back stronger!
• National Holidays celebrated – Take time off to celebrate important events and traditions with loved ones, fully embracing your culture.
• Sick leave – Focus on your health without the stress. Take the necessary time to recover and feel better.
• Refundable 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 day off – Enjoy an extra day off during your birthday week to celebrate in style with friends and family!

About The Project

At Nortal, we know great talent doesn't wait for job openings. That's why we're building a community of passionate professionals for future opportunities.

These proactive searches align with the profiles our trusted clients seek regularly. Join our "Future Talent" network to be among the first considered when the right opportunity arises.

With over 160 new hires every year, we are constantly expanding our team with passionate and skilled professionals who want to make an impact.

We are looking for a self-directed senior engineer to build secure, scalable data platform capabilities and governance automation. You will bring strong data engineering, cloud platform, and enterprise integration experience, and work alongside domain experts, product managers, governance teams, and engineers to turn technical controls into reliable, reusable platform services.

How Your Day-to-day Work Will Look Like

• Architect secure, scalable data platform and governance automation capabilities, designing reusable, configuration-driven patterns for governed data and platform services.
• Build automated controls for metadata, ownership, lineage, data quality, access, and policy enforcement, and implement identity, authorization, least-privilege access, auditability, and credential management.
• Develop secure APIs, MCP tools, and integrations for enterprise and AI-enabled applications.
• Build automated validation, testing, deployment, and monitoring across environments, establishing observability for platform health, data quality, policy results, and failures.
• Own production-quality code, tests, documentation, and operational guidance, partnering with domain experts, PMs, governance teams, and engineers on technical controls.
• Mentor other engineers and guide technical direction across teams.

This Would Make You The Ideal Candidate

• Bachelor's degree in Computer Science, Data Engineering, Software Engineering, or a related STEM field (or a Bachelor's plus a Master's or higher in STEM).
• 6+ years of software/data engineering experience (or equivalent demonstrated skill).
• 6+ years of experience with Python, SQL, distributed processing, data modeling, and modern data engineering frameworks.
• Strong experience with cloud data platforms, data catalogs, metadata, lineage, data quality, and access controls.
• Experience with Databricks, Unity Catalog, Data Lake, Apache Spark, or comparable technologies.
• Experience with CI/CD, automated testing, environment separation, and production deployment.
• Experience building secure APIs, MCP servers, or tools for enterprise and AI-enabled applications.
• Experience with enterprise identity, RBAC, service accounts, secrets management, and least-privilege security.
• Full lifecycle experience: architecture, development, deployment, and production support.
• Nice to have: GitLab CI/CD or comparable; policy-as-code, infrastructure-as-code, and configuration-driven platforms; experience building data marketplaces, governance platforms, or internal developer platforms; familiarity with privacy, security, regulatory, and AI governance controls; experience in regulated or risk-sensitive environments.

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.

We would love to hear from you if you are eager to make an impact and join a collaborative team that values creativity and expertise.

Let's work together to shape the future of technology!