Data Solutions Architect

Softtek

México

On-site

MXN 900,000 - 1,500,000

Full time

43 hours ago
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Job summary

Softtek is seeking a Senior Solution Architect to lead end-to-end data and cloud architecture initiatives. You will design enterprise data platforms and data warehouses, leveraging AWS services and modern orchestration with Airflow and dbt.

You will translate business needs into scalable technical proposals, drive governance and security, and collaborate with cross-functional teams while guiding architectural decisions and SDLC adherence.

Qualifications

  • 5+ years in solution and data 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.
  • Experience with Apache Airflow, dbt, AWS Glue.
  • Knowledge of data modeling, database design, integration patterns.
  • Knowledge of data governance and security.
  • Infrastructure as Code with Terraform/CloudFormation.
  • DevOps practices, Git and CI/CD.
  • Programming in Python/Java/SQL.
  • Ability to create architecture diagrams and documentation.
  • Experience with Agile methodologies and SDLC.
  • Architectural thinking and strategic decision-making.
  • Strong problem-solving and technical leadership.
  • Communication and storytelling with stakeholders.

Responsibilities

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

Skills

Solution Architecture
Data Architecture
Cloud Architecture
AWS
Snowflake
Airflow
dbt
Terraform
CloudFormation
CI/CD
Python
Java
SQL
Architecture diagrams
Agile
SDLC
Leadership
Communication
Stakeholder management

Tools

AWS
Snowflake
Airflow
dbt
Terraform
CloudFormation
Jira/Azure DevOps
Python
SQL

Job description


  • 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)


  • 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


Required Languages


  • 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

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