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 VacationsAnd 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.