Cloud Data Architect

Summary

Join DoiT's Client Services team in LATAM as a Cloud Data Architect, working remotely from Colombia (ideally Bogota). This role involves applying your expertise in building and optimizing data systems on AWS. You will consult with clients on their cloud technology needs, grow your skills through dedicated learning time, and enhance your professional brand. The position requires extensive experience with AWS, data warehousing, and pipeline development. DoiT offers a flexible work environment, various benefits, and opportunities for professional growth.

Requirements

• 4+ years of experience engineering, developing, and troubleshooting large production-grade distributed systems on Amazon Web Services (AWS)
• Good verbal and written communication skills
• The expertise to architect, develop and troubleshoot large production-grade distributed systems on AWS and select the appropriate tools to tackle business problems at the correct scale
• Experienced working with cloud data storage, data warehousing, and/or data lake architecture, ELT/ ETL and reporting/ analytic frameworks and technologies, such as Redshift, Athena, Glue and EMR
• Experience with designing highly-available systems for serving transactional web-scale low-latency traffic using both RDBMS and NoSQL technologies, such as AWS RDS and DynamoDB
• A programming background with shell scripts and one or more of the following: JavaScript, Java, Python, GO or Rust
• Familiarity with debugging, refactoring and optimizing code and the experience to know when and how to automate tasks
• Hands on with deploying production data pipelines using orchestration tools like AWS MWAA/Airflow
• Excellent communication and presentation skills in English, both written and verbal

Responsibilities

• Apply your hands-on experience & skills in a consultative manner to address our customers’ strategic and tactical needs around cloud technologies
• Grow your technical and interpersonal skills by addressing customer challenges in your daily work and leveraging dedicated time allocated by the company for learning new technologies and engaging in internal initiatives
• Strengthen your personal brand through thought leadership activities such as blogging, public speaking, and participation in technology events

Preferred Qualifications

• Experience with AI/ML technologies like SageMaker is a plus
• Experience with QuickSight or other BI Visualization tools is a plus
• Being open to study and work with GCP data products

Benefits

• Unlimited Vacation
• Flexible Working Options
• Health Insurance
• Parental Leave
• Employee Stock Option Plan
• Home Office Allowance
• Professional Development Stipend
• Peer Recognition Program