Senior Data Platform Engineer (Remote • Flexible Hours)

AgileEngine; México; Híbrido; MXN 2.042.000 - 3.063.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth

Competitive compensation

Flextime

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 deliver Bronze/Silver/Gold models, manage Terraform provisioning, and implement CI/CD with GitHub Actions, while enforcing HIPAA-aligned data handling and Snowflake RBAC standards. This is a solo senior contributor role with high ownership.

Formación

• 4+ years of hands-on data engineering experience with full production pipeline ownership.
• Proven expertise in Snowflake administration and performance tuning.
• Strong SQL and data modeling fundamentals (Kimball, SCD).
• Production experience with SQLMesh or DBT operating in a warehouse-centric architecture.
• Experience ingesting data from REST APIs and SQL Server using Azure Data Factory (ADF) and Azure Functions.
• Hands-on experience using Terraform for infrastructure provisioning and robust CI/CD with GitHub Actions.
• Ability to audit and operate an existing data platform built by a third-party vendor.

Responsabilidades

• Develop and maintain scalable data pipelines ingesting from enterprise sources into Snowflake using Azure Data Factory, Azure Event Hub, and ADLS Gen2.
• Build and optimize analytics-ready data models (Bronze/Silver/Gold) using SQLMesh/DBT.
• Provision and manage platform infrastructure through Terraform, including Snowflake objects and Azure resources.
• Implement CI/CD pipelines with GitHub Actions for automated testing and multi-environment releases.
• Design and enforce data governance, security, and access controls including Snowflake RBAC and HIPAA-aligned practices.
• Configure cloud networking with Azure Private Endpoints and Private DNS zones.
• Build platform-wide observability using Datadog and ensure data lineage across pipelines.
• Write production-grade Python for ingestion utilities, data quality, and integrations.
• Apply Agile practices with stakeholders to deliver iterative increments.
• Document data engineering standards and reusable patterns for scale.
• Diagnose and resolve production issues across pipelines and platform services.

Conocimientos

Data engineering

SQL

Cloud data platforms

Agile delivery

Herramientas

Snowflake

SQLMesh/DBT

Azure Data Factory

Terraform

GitHub Actions

Azure DevOps

Datadog

Power BI

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 deliver Bronze/Silver/Gold models, manage Terraform provisioning, and implement CI/CD with GitHub Actions, while enforcing HIPAA-aligned data handling and Snowflake RBAC standards. This is a solo senior contributor role with high ownership.