Data Architect ID52062

AgileEngine; Monterrey; Híbrido; MXN 1.748.252 - 2.272.727; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth: Mentorship, TechTalks

Competitive compensation: USD-based pay

Exciting projects: Modern solutions with Fortune 500

Flextime: Flexible schedule with remote options

Descripción de la vacante

AgileEngine is seeking a Cloud Data Architect in Monterrey, Mexico, to lead the design of a next-generation AWS data platform. This role involves shaping data ingestion patterns and governance frameworks while ensuring performance and scalability. Candidates must have 8+ years in data engineering and expertise with AWS core services. The position offers mentorship, competitive compensation, and flexible working hours, making it ideal for those looking to advance in a dynamic environment with Fortune 500 projects.

Responsabilidades

• Lead design and implementation of enterprise data architecture following Medallion framework.
• Develop data models, pipelines, and schemas for data unification, governance, and analytics.
• Build and optimize AWS-based data infrastructure using core services.
• Implement Lakehouse architecture integrating structured and unstructured data.
• Ensure performance, scalability, and cost efficiency of the data ecosystem.
• Design and oversee data ingestion from multiple on-prem and cloud systems.
• Define integration strategies using batch, streaming, and event-driven patterns.
• Collaborate with governance teams to enforce data security and access control.
• Work with engineering and business teams to deliver scalable data solutions.
• Support data platform modernization initiatives and roadmap execution.
• Document architecture, standards, and data flows for diverse audiences.

Conocimientos

8+ years of experience in data engineering or architecture

5+ years of experience with AWS data ecosystems

Expertise with AWS core services (S3, Glue, Redshift)

Experience with data integration tools (dbt, Airflow)

Strong knowledge of data modeling (Medallion/Lakehouse)

Experience with infrastructure as code (Terraform)

Proficiency in Python, SQL, and PySpark

Strong understanding of data governance, quality, and security

Experience with enterprise-scale architecture

Upper-intermediate English level

Descripción del empleo

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

WHY JOIN US

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

ABOUT THE ROLE

As a Cloud Data Architect, you’ll lead the design of a next-generation AWS data platform from the ground up — building the Medallion Lakehouse architecture that will become the unified data foundation for the entire organization. This is a greenfield opportunity for a senior architect who wants genuine ownership: shaping ingestion patterns, governance frameworks, and scalable data models across S3, Redshift, Glue, dbt, and Airflow.

WHAT YOU WILL DO

• Lead design and implementation of enterprise data architecture following Medallion framework;
• Develop data models, pipelines, and schemas for data unification, governance, and analytics;
• Build and optimize AWS-based data infrastructure using core services;
• Implement Lakehouse architecture integrating structured and unstructured data;
• Ensure performance, scalability, and cost efficiency of the data ecosystem;
• Design and oversee data ingestion from multiple on-prem and cloud systems;
• Define integration strategies using batch, streaming, and event-driven patterns;
• Collaborate with governance teams to enforce data security, access control, and quality;
• Work with engineering and business teams to deliver scalable data solutions;
• Support data platform modernization initiatives and roadmap execution;
• Document architecture, standards, and data flows for diverse audiences.

MUST HAVES

• 8+ years of experience in data engineering or architecture;
• 5+ years of experience working with AWS data ecosystems;
• Expertise with AWS core services (S3, Glue, Redshift, Lambda, Athena, Kinesis, EMR);
• Experience with data integration tools (dbt, Step Functions, Airflow, AWS DMS, Kafka, Kinesis);
• Strong knowledge of data modeling (Medallion/Lakehouse, dimensional modeling, Data Vault, Kimball);
• Experience with infrastructure as code (Terraform, CloudFormation);
• Proficiency in Python, SQL, and Spark (PySpark) for ETL;
• Strong understanding of data governance, quality, and security;
• Experience with enterprise-scale architecture and data integration;
• Upper-intermediate English level.

NICE TO HAVES

• Practical experience and certification with Boomi AtomSphere.

PERKS AND BENEFITS

• Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
• Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
• Exciting projects: Modern solutions with Fortune 500 and top product companies.
• Flextime: Flexible schedule with remote and office options.