Remote Senior Data Engineer — Platform Architect

AgileEngine; Santiago del Estero; Presencial; ARS 89.322.000 - 178.643.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Mentorship and learning budget

Competitive compensation

100% remote with flexible hours

Modern tech stack and global teams

Collaborative culture with autonomy

Well-being programs

Descripción de la vacante

AgileEngine is seeking a Senior Data Engineer to architect and build an enterprise data platform on Snowflake and Azure, owning the full stack from infrastructure provisioning through pipeline development, data modeling, governance, and observability.

You will build Bronze/Silver/Gold data models using SQLMesh, provision all platform resources with Terraform, implement CI/CD pipelines via GitHub Actions, and enforce HIPAA-aligned data handling and Snowflake RBAC standards.

Formación

• 4+ years of hands-on data engineering with full production pipeline ownership.
• Deep expertise in Snowflake administration and performance tuning.
• Strong SQL and data modeling fundamentals (Kimball, SCD).
• Production experience with SQLMesh or DBT in warehouse-centric architecture.
• Ingesting data from REST APIs and SQL Server using Azure Data Factory and Azure Functions.
• Terraform for infrastructure provisioning and CI/CD with GitHub Actions or Azure DevOps.
• Upper-intermediate English level.

Responsabilidades

• Develop and maintain scalable data pipelines ingesting from enterprise source systems (EHR, ERP, CRM, SaaS, PMS) into Snowflake using Azure Data Factory, Azure Event Hub, and ADLS Gen2.
• Build and optimize analytics-ready data models (Bronze/Silver/Gold layers) using SQLMesh.
• Provision and manage all platform infrastructure through Terraform, including Snowflake objects, Azure resources, networking components, and access controls, following infrastructure-as-code standards.
• Implement CI/CD pipelines using GitHub Actions for automated testing, environment promotion, and controlled multi-environment releases (dev/test/staging/production).
• Design and enforce data governance, security, and access control standards, including Snowflake RBAC, row-level security, column masking, and HIPAA-aligned data handling practices.
• Configure and maintain cloud networking and private connectivity, including Azure Private Endpoints, Private Link, Private DNS zones, managed identities, and network security groups.
• Build and operate platform-wide observability using Datadog or equivalent, covering pipeline health, data freshness, anomaly detection, alerting, and end-to-end data lineage.
• Write production-grade Python for ingestion utilities, data quality frameworks, and platform integrations, including reconciliation checks and automated tests that block bad data from reaching production.
• Apply Agile delivery practices including sprint planning, standups, and backlog refinement in collaboration with analytics and business stakeholders.
• Establish and document data engineering standards, reusable patterns, and best practices that scale with the platform and organization.
• Diagnose and resolve production issues across pipelines, infrastructure, networking, security, and platform services.

Conocimientos

Data engineering

Snowflake administration

SQL

Data modeling

Kimball methodology

SCD management

Terraform

GitHub Actions

Azure Data Factory

DBT/SQLMesh

Python

English communication

Herramientas

Terraform

SQLMesh

DBT

Snowflake

Azure

GitHub Actions

Descripción del empleo

AgileEngine is seeking a Senior Data Engineer to architect and build an enterprise data platform on Snowflake and Azure, owning the full stack from infrastructure provisioning through pipeline development, data modeling, governance, and observability.

You will build Bronze/Silver/Gold data models using SQLMesh, provision all platform resources with Terraform, implement CI/CD pipelines via GitHub Actions, and enforce HIPAA-aligned data handling and Snowflake RBAC standards.