This is a fully remote position, open to applicants in United States.

• Design and implement scalable batch and near-real-time data pipelines utilizing Python, PySpark, Glue, EMR, Lambda, and Step Functions.

• Define data storage, transformation, and access methodologies across S3, Redshift, Athena, RDS, and DynamoDB.

• Create event-driven and integration solutions leveraging SNS, SQS, Kinesis, and APIs.

• Set standards for data quality, observability, monitoring, logging, and failure recovery.

• Enhance data processing, storage, and query performance across AWS platforms.

• Lead the resolution of production issues and conduct root cause analysis alongside corrective measures.

• Assist in cloud migration, data migration, and modernization efforts.

• Evaluate solution designs, code quality, and production readiness across various projects.

• Collaborate with architects, platform teams, and business stakeholders to ensure technical solutions meet business requirements.

• Promote best practices for CI/CD, deployment automation, and thorough documentation.

• A degree is required for the visa application process.

• 12+ years of software development experience with a strong IT foundation.

• Experience as an application developer on projects with similar scope and responsibilities.

• Advanced knowledge of AWS services and architecture.

• Extensive experience with Python object-oriented programming, PySpark, SQL, and ETL frameworks.

• Profound experience with AWS Glue, EMR, Redshift, RDS, Athena, Lambda, Step Functions, SNS, SQS, S3, CloudWatch, and CloudTrail.

• Strong understanding of enterprise data architecture, migration, and support models.

• Familiarity with GitLab, Terraform, and release/deployment practices.

• Resilience, emotional intelligence, and a commitment to agile delivery.

• Advanced proficiency in oral English.

• Advanced proficiency in Spanish.

• Preferred: experience with Kinesis, ECS, Batch, Beanstalk, and DynamoDB.

• Preferred: exposure to infrastructure-as-code and reusable platform patterns.

• Preferred: understanding of performance engineering for code pipelines and near-real-time systems.

• Preferred: knowledge of Agents and MCP.

• Preferred: familiarity with cloud-native principles or AI coding assistants.

• Flexible work arrangement with remote work options.

• Opportunities for continuous learning and professional development.

• Engagement with high-impact projects and intricate engineering challenges.

• Collaboration with global teams across 39 delivery centers worldwide.

Data Infrastructure Architect

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