DescriptionWe are currently searching for a
Data Infrastructure Architect:The Challenge (Responsibilities)- Architect and implement scalable batch and near-real-time data pipelines using Python, PySpark, Glue, EMR, Lambda, and Step Functions.
- Define data storage, transformation, and access patterns across S3, Redshift, Athena, RDS, and DynamoDB.
- Design event-driven and integration solutions using SNS, SQS, Kinesis, and APIs.
- Establish standards for data quality, observability, monitoring, logging, and failure recovery.
- Optimize data processing, storage, and query performance across AWS platforms.
- Lead troubleshooting of production issues and drive root cause analysis and corrective actions.
- Support cloud migration, data migration, and modernization initiatives.
- Review solution designs, code quality, and production readiness across projects.
- Collaborate with architects, platform teams, and business stakeholders to align technical solutions with business needs.
- Drive best practices for CI/CD, deployment automation, and documentation.
Your Profile (Requirements)- Degree holders for the visa application process.
- 12+ years of software development experience with a solid IT background.
- Experience as an application developer for projects similar in scope and responsibility.
- Advanced knowledge of AWS services and architecture.
- Strong experience with Python object-oriented programming, PySpark, SQL, and ETL frameworks.
- Deep experience with AWS services including Glue, EMR, Redshift, RDS, Athena, Lambda, Step Functions, SNS, SQS, S3, CloudWatch, and CloudTrail.
- Strong understanding of enterprise data architecture, migration, and support models.
- Experience with GitLab and Terraform and release/deployment practices.
- High-Performance Mindset: Resilience, emotional intelligence, and a focus on agile delivery.
- Technologist DNA: A deep understanding of the difference between "coding" and "engineering."
Desired- Experience with Kinesis, ECS, Batch, Beanstalk, and DynamoDB.
- Exposure to infrastructure-as-code and reusable platform patterns.
- Have a good understanding of performance engineering of code pipelines and near real-time systems.
- Good understanding of Agents and MCP.
- Familiarity with cloud-native foundations or AI coding assistants.
Languages- Advanced Oral English: For seamless collaboration with global teams.
- Advanced Spanish.
Special NotesWork ArrangementWe value flexibility to support your lifestyle. This position is available as:Requirements- Solid IT background and experience.
- Experience as an application developer for projects similar in scope and responsibility.
- Advanced knowledge of AWS services and architecture.
- Strong experience with Python object-oriented programming, PySpark, SQL, and ETL frameworks.
- Deep experience with AWS services including Glue, EMR, Redshift, RDS, Athena, Lambda, Step Functions, SNS, SQS, S3, CloudWatch, and CloudTrail.
- Strong understanding of enterprise data architecture, migration, and support models.
- Experience with GitLab and Terraform and release/deployment practices.
