Remote Databricks Data Engineer - AI Lakehouse Architect

Livefront

United States

A distancia

USD 150.000 - 190.000

Jornada completa

14 días+
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Descripción de la vacante

Livefront is seeking a Databricks Data Engineer to join our growing data practice. Design and build production data pipelines, architect Lakehouse solutions on Databricks, and own data quality and CI/CD across AWS and Azure.

This senior position offers remote work with Peru-based clients and opportunities to shape our analytics platforms. Ideal candidates have 3–5 years of data engineering experience, deep Databricks expertise, SQL and Python proficiency, and a track record translating business

Formación

  • 3–5 years of data engineering experience in production environments.
  • 2+ years in production Databricks contexts, consulting or client delivery a plus.
  • Strong AWS and Azure cloud skills relevant to Databricks deployments.
  • Proficient in SQL and Python with clean, maintainable code.
  • Experience designing Lakehouse architectures and delta lake patterns.
  • Ability to translate business needs into scalable data solutions.
  • Familiarity with CI/CD for data pipelines and testing.

Responsabilidades

  • Design and build end-to-end data pipelines with ingestion, transformation, and data quality checks.
  • Architect Lakehouse solutions on Databricks for analytics and AI needs.
  • Maintain transformation layers (DLT, PySpark notebooks, dbt) with SLAs.
  • Develop data foundations (Unity Catalog, Feature Store, MLflow) powering ML apps.
  • Collaborate with product and backend teams to model data and APIs.
  • Consult with clients to define data strategies and sustainable solutions.
  • Lead data architecture discussions or support internal data teams as needed.
  • Operate in multi-cloud AWS and Azure environments with Databricks alignment.

Conocimientos

Databricks
SQL
Python
AWS
Azure
Lakehouse
DLT
CI/CD
Data Modeling
Communication

Herramientas

Lakeflow Declarative Pipelines
Autoloader
Structured Streaming
Unity Catalog
dbt
MLflow

Descripción del empleo

Livefront is seeking a Databricks Data Engineer to join our growing data practice. Design and build production data pipelines, architect Lakehouse solutions on Databricks, and own data quality and CI/CD across AWS and Azure.

This senior position offers remote work with Peru-based clients and opportunities to shape our analytics platforms. Ideal candidates have 3–5 years of data engineering experience, deep Databricks expertise, SQL and Python proficiency, and a track record translating business

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