Lead Data Platform & Automation Engineer

Nortal; Santiago; Remote; CLP 117,302,000 - 175,953,000; 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 Data Platform and Automation Engineer to design and deploy secure, scalable data platform solutions for a LATAM remote team. You will build governance automation, data quality controls, and enterprise-grade APIs while ensuring robust observability and production readiness.

You will mentor engineers, collaborate with governance and product teams, and contribute to a culture of autonomy and excellence.

Qualifications

• Bachelor's degree in Computer Science, Data Engineering, Software Engineering, or a related STEM field.
• 6+ years of software/data engineering experience.
• 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.
• 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, 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.

Skills

Python

SQL

Distributed processing

Data modeling

Modern data engineering frameworks

Cloud data platforms

Data catalogs

Metadata

Data quality

Access controls

Education

Bachelor's in Computer Science, Data Engineering, or Software Engineering

Bachelor's + Master's or higher in STEM

Tools

Databricks

Unity Catalog

Data Lake

Apache Spark

GitLab CI/CD

Job description

Nortal is seeking a Senior Data Platform and Automation Engineer to design and deploy secure, scalable data platform solutions for a LATAM remote team. You will build governance automation, data quality controls, and enterprise-grade APIs while ensuring robust observability and production readiness.

You will mentor engineers, collaborate with governance and product teams, and contribute to a culture of autonomy and excellence.