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 Engineer (PostgreSQL DBA) based in Brazil.
This role offers the opportunity to take ownership of critical database infrastructure within a data-driven, international environment. You will focus heavily on PostgreSQL administration, performance optimization, security, reliability, and scalability across core data systems. Beyond hands-on DBA responsibilities, you will translate business needs into actionable data engineering priorities and help ensure technical solutions support broader organizational objectives. You will collaborate closely with technical and non-technical stakeholders while guiding the team on database, reporting, and data management best practices. The position also places a strong emphasis on modern AI and automation, using emerging tools to improve database operations, testing, reliability, and software delivery. It is an ideal opportunity for a senior data professional who combines deep technical expertise with leadership, communication, and a continuous-improvement mindset.
Accountabilities:
- Administer, maintain, and optimize PostgreSQL databases, with additional responsibility for SQL Server and Oracle environments, ensuring strong performance, availability, scalability, and security.
- Design and maintain database schemas, indexes, partitions, and related structures to support efficient queries, growing data volumes, and long-term scalability.
- Monitor database health and performance, identify bottlenecks, troubleshoot complex issues, and implement query and infrastructure optimizations.
- Manage database backup, recovery, and disaster recovery processes to support operational resilience and business continuity.
- Implement and maintain database security practices, including access controls, encryption, auditing, and other measures designed to protect sensitive data.
- Ensure database environments comply with applicable data governance requirements, internal security policies, and relevant industry standards.
- Participate in daily standups, prioritize technical work, and align engineering activities with evolving business needs and organizational priorities.
- Translate business requirements into well-defined data engineering and database administration tasks, helping the team focus effort where it delivers the greatest business value.
- Collaborate with cross-functional teams to ensure data solutions and Power BI-related initiatives are technically sound and aligned with business objectives.
- Provide technical guidance and mentorship to team members while promoting best practices across database management, reporting, data quality, and operational processes.
- Apply modern AI models and developer tools to improve PostgreSQL performance tuning, database reliability validation, migration planning, testing, and operational runbook automation.
- Use AI-assisted approaches to generate test scenarios, expand regression coverage, identify edge cases, and improve the efficiency of engineering workflows.
- Build practical automation that reduces repetitive manual work while maintaining appropriate standards for quality, security, reliability, and auditability.
- Evaluate AI-generated outputs critically, select appropriate models and tools for specific tasks, and apply secure approaches when working with sensitive or business-critical data.
- Identify opportunities for measurable efficiency gains, including faster delivery cycles, improved system stability, reduced operational effort, and greater predictability across engineering activities.
Requirements
- Strong hands-on experience with PostgreSQL database administration, particularly performance tuning, optimization, security, monitoring, backup, and recovery.
- Experience administering or supporting additional relational database technologies such as SQL Server and Oracle.
- Strong understanding of database architecture, schema design, indexing, partitioning, query optimization, availability, and scalability.
- Practical experience with database monitoring, troubleshooting, disaster recovery planning, and operational reliability.
- Solid knowledge of database security principles, including access management, encryption, auditing, governance, and protection of sensitive information.
- Strong analytical and problem-solving abilities, with exceptional attention to detail and a structured approach to diagnosing technical issues.
- Excellent communication skills and the ability to explain complex technical concepts clearly to both technical and non-technical stakeholders.
- Demonstrated ability to prioritize workloads, manage competing requirements, and align technical execution with business objectives.
- Leadership and mentoring capabilities, with the confidence to guide team members and establish effective data management and engineering practices.
- Experience translating business requirements into actionable technical tasks and collaborating effectively with cross-functional teams.
- Familiarity with Power BI and data reporting environments is beneficial, although direct Power BI development is not required.
- Strong hands-on experience with modern AI models and developer tooling, with the ability to apply AI to software delivery, database operations, and engineering productivity.
- Experience using AI for PostgreSQL performance tuning, reliability validation, migration planning, operational automation, and testing workflows.
- Ability to create automation that delivers measurable improvements while preserving quality, security, and auditability.
- Sound judgment when evaluating AI-generated outputs, including the ability to select suitable tools and apply secure patterns when handling sensitive data.
- Demonstrated track record of using automation or AI to improve efficiency, stability, delivery speed, or operational predictability.
- Availability to work U.S. Eastern Standard Time (EST) hours while based in Brazil.
- Ability to provide a resume in English.
Benefits
- Remote opportunity for candidates based in Brazil.
- Work schedule aligned with U.S. Eastern Standard Time (EST) hours.
- Opportunity to work in an international, data-driven environment.
- Senior-level ownership of critical database infrastructure and data engineering initiatives.
- Opportunity to work extensively with PostgreSQL and additional enterprise database technologies.
- Exposure to modern AI models, automation, and emerging developer tools applied to real-world engineering challenges.
- Opportunity to influence database reliability, scalability, security, and operational efficiency.
- Collaboration with cross-functional teams and international stakeholders.
- Opportunity to mentor colleagues and contribute to data engineering best practices.
- Professional growth through work spanning database administration, data engineering, business alignment, AI, and automation.
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!
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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