- Strong experience in Solution Architecture, Data Architecture, Cloud Architecture
- Experience designing enterprise data platforms and data warehouses
- Hands-on experience with AWS cloud services
- Knowledge of AWS S3, Lambda, Glue, IAM, CloudWatch, CloudFormation, VPC
- Experience with Snowflake or similar data warehouse platforms
- Experience with Apache Airflow, dbt, AWS Glue
- Knowledge of data modeling, database design, integration patterns
- Knowledge of data governance, security, access management
- Experience with Infrastructure as Code, Terraform, CloudFormation
- Experience with DevOps practices, Git, CI/CD pipelines
- Programming or scripting experience, Python, Java, C#, SQL
- Ability to create architecture diagrams and technical documentation
- Experience working with Agile methodologies and SDLC practices

Required – Soft Skills

- Architectural thinking
- Strategic decision-making
- Strong problem-solving skills
- Technical leadership
- Communication and storytelling skills
- Ability to evaluate alternatives and trade-offs
- Technology adaptability
- Collaboration across technical and business teams

Nice to Have (Technical Skills)

- Experience with Microsoft Azure
- Experience with Microsoft Fabric
- Experience with Power Platform
- Experience with enterprise reporting and analytics platforms
- Knowledge of Microservices, Domain-Driven Design (DDD)
- Knowledge of Event-Driven Architecture, CQRS, Event Sourcing




- Experience leading technical teams
- Experience acting as a technical advisor
- Experience developing Proof of Concepts (PoC)
- Experience with Jira or Azure DevOps
- Cloud, Architecture, Data, Agile certifications

Responsibilities (Activities to perform)

- Design end-to-end data and cloud architectures
- Align solutions with business, security, scalability, and cost requirements
- Translate business needs into technical architecture proposals
- Design scalable ETL and ELT architectures
- Architect cloud-based data solutions using AWS services
- Design and orchestrate workflows using Airflow and dbt
- Design and optimize enterprise data warehouse solutions
- Evaluate architecture alternatives, risks, dependencies, trade-offs
- Define governance, security, monitoring, logging, observability strategies
- Create architecture documentation and solution diagrams
- Support Infrastructure as Code implementations
- Collaborate with Product Owners, Scrum Masters, engineers, business stakeholders
- Provide technical leadership during design and implementation
- Support scripting, coding, configuration, troubleshooting activities
- Participate in cloud operations and Proof of Concept development
- Support CI/CD implementation and automation practices
- Analyze system performance and data processing workloads
- Identify optimization opportunities across platforms and solutions

📌 Arquitecto de datos (México)
🏢 SOFTTEK
📍 México