Data Infrastructure Architect

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

📋 Description

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

• Specify 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 recovery from failures.

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

• Lead troubleshooting in production, conduct root cause analysis, and implement corrective measures.

• Assist with cloud migration, data migration, and modernization projects.

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

• Work collaboratively with architects, platform teams, and business stakeholders to ensure technical solutions meet business objectives.

• Promote best practices in CI/CD, deployment automation, and comprehensive documentation.

⛳️ Requirements

• A degree is required for the visa application process.

• Over 12 years of software development experience with a robust IT background.

• Previous experience as an application developer on projects of comparable scope and responsibility.

• Advanced understanding of AWS services and architecture.

• Strong expertise in Python object-oriented programming, PySpark, SQL, and ETL frameworks.

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

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

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

• Possess resilience, emotional intelligence, and a focus on agile delivery.

• Proficient in oral English.

• Proficient in Spanish.

🏝️ Benefits

• Flexible work arrangement with the option for remote work.

• Opportunities for continuous learning and professional development.

• Exposure to high-impact projects and complex engineering challenges.

• Collaboration with international teams across global delivery centers.