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 USIf 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 ROLEAs 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:

Versátil schedule with remote and office options.

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📌 Data Architect (Ciudad de México)
🏢 Agileengine
📍 Ciudad de México