Data Architect; Soledad

Agile Engine 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.

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

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.

• 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.

• 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, Cloud Formation);
• 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.

• Practical experience and certification with Boomi Atom Sphere.

• Professional growth:
  Mentorship, Tech Talks, 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:
  Adaptable schedule with remote and office options.