Staff Database Engineer (AWS) – Latin America
We are seeking a highly skilled Staff Database Engineer to lead the design, optimization, and management of complex, multi-cloud data infrastructure.
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
Seniority level
Mid‑Senior level
Employment type
Full‑time
Job function
Information Technology
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