Staff Database Engineer

Staff Database Engineer (AWS) — Remote (Latin America) This position is posted by Jobgether on behalf of a partner company. We are seeking a highly skilled Staff Database Engineer to lead the design, optimization, and management of complex, multi-cloud data infrastructure across AWS and Azure. You will architect scalable, fault-tolerant data pipelines and manage core databases, collaborating with cross-functional teams, mentoring engineers, and ensuring data reliability, governance, and performance at a global scale. This is a fully remote role with flexibility to work from anywhere in Latin America. 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 When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. The process is transparent and skills-based, focusing on fit for the role. The final decision and next steps are determined by the company owning the job opening. #J-18808-Ljbffr