[Job-29269] AWS - Data Architect, Colombia

 Posted 2 months ago
     
5-10 years experience
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AI Summary

Design and implement automated AWS data pipelines and infrastructure as code for an ML-based demand forecasting system. Manage ML model deployment patterns using SageMaker and establish architecture governance and monitoring.

We are tech transformation specialists, uniting human expertise with AI to create scalable tech solutions.

With over 8,000 CI&Ters around the world, we’ve built partnerships with more than 1,000 clients during our 30 years of history. Artificial Intelligence is our reality. 


We are looking for a Data Architect responsible for automated data pipelines, infrastructure as code, deployment patterns, and architecture governance for an ML-based demand forecasting system in the public transportation sector

 

Key Responsibilities:

  • Design and Architecture:

    • Create and implement AWS data pipeline designs using AWS Glue, Step Functions, and Amazon S3.
    • Develop architecture for analytics workloads, including data lake patterns and event-driven pipelines.
    • Establish security architecture ensuring IAM policies, encryption, and least-privilege access.
  • Infrastructure as Code:

    • Utilize AWS CloudFormation and/or AWS CDK (TypeScript or Python) for infrastructure automation.
    • Deliver Infrastructure as Code (IaC) solutions in production environments.
  • Machine Learning Deployment:

    • Design and deploy ML model deployment patterns using Amazon SageMaker, including endpoints, batch transforms, and inference pipelines.
    • Manage the CI/CD processes for ML pipelines and infrastructure deployments.
  • Monitoring and Observability:

    • Set up monitoring solutions using CloudWatch, including alarms and health dashboards for data pipelines.
  • Collaboration and Documentation:

    • Engage with customer development teams for knowledge transfer and documentation.
    • Contribute to project management in Firm Fixed Price or milestone-based delivery engagements.

Required Skills and Qualifications:

Knowledge & Skills:

    • Proficient in AWS data pipeline design, including:
      • AWS Glue (ETL jobs, crawlers, catalog)
      • AWS Step Functions
      • Amazon S3
    • Expertise in Infrastructure as Code (IaC) using AWS CloudFormation and/or AWS CDK (TypeScript or Python).
    • Experience deploying SageMaker models in sandbox and production environments.
    • Experience designing and deploying data/ML architectures on AWS. 
    • Experience in architecture design for analytics workloads, including RDS-to-S3 ingestion.
    • Strong understanding of security architecture, including IAM policies and VPC design.
    • Knowledge of monitoring tools such as CloudWatch and pipeline health dashboards.
    • Understanding of hybrid connectivity solutions (VPN, Direct Connect) and familiarity with Oracle RDS.

Expected Certifications

 

                    • AWS Certified Solutions Architect – Associate
                    • AWS Certified Data Engineer – Associate or AWS Certified DevOps 

 

 

#LI-LO1

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Our benefits include:


- Premium Healthcare

- Meal voucher

- Maternity and Parental leaves

- Mobile services subsidy

- Sick pay-Life insurance

- CI&T University   

- Colombian Holidays

- Paid Vacations

And many others. 



Collaboration is our superpower, diversity unites us, and excellence is our standard. 

We value diverse identities and life experiences, fostering a diverse, inclusive, and safe work environment. We encourage applications from diverse and underrepresented groups to our job positions.

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