AgileEngine is an Inc. **** 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 DOLead 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 HAVES8+ 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 HAVESPractical experience and certification with Boomi AtomSphere.PERKS AND BENEFITSProfessional 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 Id52062 (Santiago de Querétaro)
🏢 Agileengine
📍 Santiago de Querétaro