Staff Database Engineer (AWS) (Remote - Latam)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Staff Database Engineer (AWS) in Latin America.

We are seeking a highly skilled Staff Database Engineer to lead the design, optimization, and management of complex, multi-cloud data infrastructure. This role offers the opportunity to architect scalable, fault-tolerant data pipelines and manage core databases across AWS and Azure environments. You will collaborate with cross-functional teams, mentor engineers, and ensure data reliability, governance, and performance at a global scale. The ideal candidate has deep expertise in AWS services, Python, SQL, and modern data orchestration tools, along with a strong understanding of relational and NoSQL database performance tuning. This is a fully remote position with flexibility to work from anywhere in Latin America, providing a dynamic environment to make a significant technical impact.

Accountabilities

• Architect, implement, and manage scalable and high-performance data pipelines using AWS Glue, Step Functions, Lambda, and Azure Data Factory.
• Design and maintain global data infrastructure across regions, ensuring low latency, high availability, and compliance with international standards.
• Oversee core databases and warehouses including Snowflake, PostgreSQL, MySQL, DynamoDB, DocumentDB, and MongoDB.
• Lead data migrations between cloud platforms and legacy systems with minimal downtime while ensuring data integrity.
• Define best practices for indexing, partitioning, sharding, and query optimization to support high-throughput workloads.
• Implement observability frameworks using CloudWatch, Azure Monitor, Datadog, and dashboards for monitoring and alerting.
• Orchestrate transformations with tools like DBT or Coalesce, maintaining strong data lineage, validation, and governance.
• Collaborate with Engineering, DevOps, and Analytics teams to deliver secure, reliable, and cost-efficient data solutions.
• Mentor engineers on database performance, automation, and best practices for data reliability.
• Drive automation and operational excellence via infrastructure-as-code, CLI tools, APIs, and CI/CD pipelines.

Requirements

• Bachelor’s Degree in Computer Science, Engineering, or a related field.
• 6+ years of experience as a Data Engineer, Database Engineer, or Cloud Data Architect.
• Proven hands-on expertise with AWS services, particularly Glue, Step Functions, and Lambda.
• Strong programming skills in Python and SQL for workflow development and optimization.
• Experience designing, building, and maintaining ETL/ELT data pipelines.
• Hands-on experience with at least two database systems among Snowflake, PostgreSQL, MySQL, DynamoDB, or MongoDB.
• Familiarity with monitoring and observability tools such as CloudWatch, Azure Monitor, or Datadog.
• Experience with Azure Data Factory, Synapse, Functions, and Azure Monitor.
• Knowledge of Infrastructure-as-Code tools such as Terraform, CloudFormation, or Bicep.
• Expertise in data migration, validation frameworks, partitioning, indexing, and sharding strategies.
• Experience with data transformation tools such as DBT or Coalesce.
• Proven mentoring and leadership skills for guiding engineers.
• Strong English communication skills for collaboration with US clients and teams.

Benefits

• Competitive salary paid in USD.
• 100% remote work with flexible schedule within LATAM time zones.
• Paid time off and national holidays according to local regulations.
• Sick leave to prioritize health and well-being.
• Annual refundable credit for perks to enhance work-life balance.
• Team-building activities, tech talks, and social events to foster connection.
• Birthday day off to celebrate personally and enjoy time with family and friends.
• Opportunity to work on cutting-edge global cloud data infrastructure and enterprise projects.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role.
Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!