(1601) Senior Data Platform and Automation Engineer

Hace 4 días

Santiago, Santiago Metropolitan Region, Chile Nortal Jornada completa

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.

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.

What To Expect From Our Talent Connection Process

  • Profile revie