Postúlate en Kit Empleo: kitempleo.com.ar/empleo/pyd1e

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.

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.

Postúlate en Kit Empleo: kitempleo.com.ar/empleo/pyd1e

📌 Data Architect (Capital)
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