- Proven experience as a Data Architect, Data Lead, or senior Data Engineer with architecture ownership responsibilities.
- Deep hands-on experience designing and governing production data pipelines built with dbt and Apache Airflow.
- Strong experience with Amazon Redshift data warehouse architecture and data mart design.
- Strong SQL and data modeling skills, with the ability to define and enforce modeling standards across a team, including data lineage, traceability, and auditability standards for a pipeline.
- Strong hands-on experience with Python for pipeline and tooling development.
- Experience with MySQL or similar relational databases, and familiarity with AWS cloud-native services such as S3, Lambda, EC2, and RDS.
- Comfort working within a regulated or compliance-driven environment (e.g., SOC-2, HIPAA, or similar), including justifying technical decisions for audit purposes.
- Experience providing technical leadership and mentorship to other data engineers.
- Experience working in a sprint-based agile delivery model, coordinating with cross-functional engineering teams.




- Strong documentation and communication skills; able to work effectively with both technical and non-technical stakeholders, including project-side architecture and product leadership.
- Advanced English.
- Comfortable using and evaluating AI-assisted development tools — AI coding assistants, code generation, or automated review tools — to improve team delivery speed and quality.

We are looking for someone able to
- Own technical architecture and design standards for the data pipelines supporting assigned projects, reviewing and approving technical designs for new pipeline components, Airflow DAGs, and data mart changes.
- Define and evolve dbt model standards — naming conventions, layering, and testing practices — ensuring consistency, quality, and maintainability across the data team's model layer.
- Provide technical leadership and direction to the data engineering team: architectura

📌 Data Architect (Buenos Aires)
🏢 Light-It
📍 Buenos Aires