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[Job-29269] AWS - Data Architect, Colombia

Roles & Responsibilities

  • Proficient in AWS data pipeline design using AWS Glue, AWS Step Functions, and Amazon S3
  • Expertise in Infrastructure as Code 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, including analytics workloads and RDS-to-S3 ingestion

Requirements:

  • Design and implement AWS data pipelines and analytics architectures (data lakes, event-driven pipelines) with security by IAM and encryption
  • Infrastructure as Code using CloudFormation and/or CDK and delivering IaC in production
  • Design and deploy ML deployment patterns with SageMaker, including endpoints, batch transforms, and inference pipelines, with CI/CD for ML pipelines and infrastructure
  • Set up CloudWatch monitoring and dashboards for data pipelines; enable observability and collaborate on knowledge transfer and documentation

Job description

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
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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