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Open nowPosted 12 hours ago

Senior Data Platform and Automation Engineer

Jobgether3,739 open roles

Where
Brazil
Work mode
Remote
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Your applicationOpen nowSenior Data Platform and Automation EngineerJobgether · Brazil

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Jobgether's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

8.1% of postings close within 7 days. Measured by our own scanner across the market. Jobgether postings stay open a median of 6 days.

Share of postings closed within
  1. 1.7%1 day
  2. 3.6%3 days
  3. 8.1%7 days
  4. 15.1%14 days
  5. 34.0%30 days
This job: posted 12 hours ago

Jobgether median: 6 days open

The posting

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Platform and Automation Engineer based in Brazil.

This role offers the opportunity to design and build secure, scalable data platforms and governance automation for complex enterprise environments. You will combine strong data engineering, cloud platform, software development, and enterprise integration expertise to create reliable and reusable platform capabilities. The position has a broad technical scope, spanning data governance, metadata, lineage, data quality, access controls, APIs, automation, and production operations. You will work closely with domain experts, product managers, governance specialists, and engineers to turn technical requirements into robust platform services. Your work will help establish secure, observable, and highly automated foundations for governed data and AI-enabled applications. As a senior technical contributor, you will also influence architecture, mentor engineers, and promote engineering standards across teams. The environment values autonomy, collaboration, continuous learning, and the ability to take ownership of production-quality solutions from architecture through operational support.

Accountabilities

  • Architect and develop secure, scalable data platform and governance automation capabilities using reusable, configuration-driven patterns.
  • Build automated controls covering metadata, data ownership, lineage, data quality, access management, and policy enforcement.
  • Implement enterprise security capabilities including identity management, authorization, role-based access control, least-privilege principles, auditability, service accounts, and credential management.
  • Develop secure APIs, MCP tools, and integrations supporting enterprise and AI-enabled applications.
  • Design and maintain automated validation, testing, deployment, and monitoring processes across development and production environments.
  • Establish strong observability for platform health, data quality, governance policies, system failures, and operational performance.
  • Own production-quality code, automated tests, technical documentation, and operational guidance throughout the full software and data engineering lifecycle.
  • Collaborate with domain experts, product managers, governance teams, and engineers to translate technical controls and business requirements into reliable platform services.
  • Contribute to architecture decisions, technical standards, and continuous improvements across engineering teams.
  • Mentor other engineers and provide technical guidance to help strengthen engineering practices and delivery quality.
  • Support production environments and troubleshoot issues across architecture, development, deployment, and ongoing operations.
  • Bachelor's degree in Computer Science, Data Engineering, Software Engineering, or a related STEM field, or a Bachelor's degree combined with a Master's or higher qualification in STEM.
  • 6+ years of experience in software engineering, data engineering, or equivalent demonstrated technical expertise.
  • 6+ years of hands-on experience with Python, SQL, distributed processing, data modeling, and modern data engineering frameworks.
  • Strong experience with cloud data platforms and data governance capabilities, including data catalogs, metadata, lineage, data quality, and access controls.
  • Practical experience with Databricks, Unity Catalog, Data Lake, Apache Spark, or comparable technologies.
  • Experience implementing CI/CD pipelines, automated testing, environment separation, and production deployments.
  • Experience developing secure APIs, MCP servers, or tools for enterprise and AI-enabled applications.
  • Strong understanding of enterprise identity, RBAC, service accounts, secrets management, authorization, and least-privilege security.
  • Demonstrated full-lifecycle engineering experience covering architecture, development, deployment, production support, and operational improvement.
  • Experience with GitLab CI/CD or comparable tooling is a plus.
  • Knowledge of policy-as-code, infrastructure-as-code, and configuration-driven platform approaches is desirable.
  • Experience building data marketplaces, governance platforms, internal developer platforms, or similar enterprise capabilities is advantageous.
  • Familiarity with privacy, security, regulatory, and AI governance controls is beneficial, particularly in regulated or risk-sensitive environments.
  • Strong problem-solving, communication, collaboration, and mentoring skills, with the autonomy to operate effectively in a remote environment.
  • Competitive salary paid in USD.
  • 100% remote work, with the flexibility to work from anywhere in the region.
  • Access to coworking spaces across LATAM for networking and collaboration.
  • Paid time off according to applicable local regulations, while maintaining full salary.
  • Paid national holidays to support cultural and personal celebrations.
  • Sick leave to allow time for recovery and well-being.
  • Refundable annual credit that can be used toward selected lifestyle and work-life balance benefits.
  • Team-building activities, including coffee breaks, technical talks, games, and social gatherings.
  • Birthday week day off.
  • Support from a dedicated People Care team focused on employee well-being and day-to-day support.
  • An autonomous, collaborative environment with open communication and respect for diversity.
  • Opportunities to work on complex, business-critical technology initiatives involving data, cloud platforms, automation, governance, and AI.
  • Opportunities to learn, share knowledge, mentor colleagues, and contribute to technical direction.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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