[Job-29269] AWS - Data Architect, Colombia

ColombiaRemoteHomeofficemid

Data ArchitectData & AI

0 views0 saves0 applied

Apply Now

Quick Summary

Overview

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.

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.

Technical Tools

awspythontypescriptci-cdetlforecastingmachine-learningproject-management

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:

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.

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

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.

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

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:

- 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.