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- 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

- 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)

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- 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)

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- 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

Required Languages

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- Combination of strategic architecture and hands-on execution

- Direct interaction with business and technical stakeholders

- Focus on scalable, secure, cloud-native solutions

- Participation in enterprise modernization initiatives

- Responsibility for architecture governance and technical decision-making

- Ability to explain architectural decisions, assumptions, risks, trade-offs, and lessons learned from previous implementations

📌 Data Solutions Architect (México)
🏢 SOFTTEK
📍 México