Data Architect: Lakehouse & Data Modeling Expert

Tria Technologies GmbH; Tlaquepaque; Híbrido; MXN 700 000 - 1 100 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Paid Time Off

Savings Fund

Health Insurance

Paid Holidays

Education Assistance

Resumo da oferta

Avnet is seeking a Data Architect in Tlaquepaque, Jalisco, Mexico. The role develops data and knowledge-based solutions, designs data models, and maintains relational databases to support business objectives.

The candidate will work with Databricks and lakehouse architectures, leveraging SQL, Python/PySpark, and CI/CD practices. Responsibilities include data requirements analysis, designing data models for performance, coordinating data population, and ensuring data governance across domains.

Qualificações

• Designs and develops data and knowledge-based solutions.

Responsabilidades

• Assesses and analyzes data requirements at system and sub-system level.
• Creates, designs and diagrams logical data models for optimum performance.
• Designs, constructs and maintains relational databases and data population workflows.
• Documents data solutions and supports data governance across domains.

Conhecimentos

Databricks

Lakehouse architecture

SQL

Python

PySpark

CI/CD concepts

Data modeling

Data governance

Power BI

Formação académica

Bachelor's degree or equivalent

Databricks Data Engineer Associate

Azure Databricks certifications

Ferramentas

Git

GitHub

GitHub Actions

Databricks CLI

Microsoft Fabric

Azure data services

Unity Catalog

Power Automate

Descrição da oferta de emprego

Avnet is seeking a Data Architect in Tlaquepaque, Jalisco, Mexico. The role develops data and knowledge-based solutions, designs data models, and maintains relational databases to support business objectives.

The candidate will work with Databricks and lakehouse architectures, leveraging SQL, Python/PySpark, and CI/CD practices. Responsibilities include data requirements analysis, designing data models for performance, coordinating data population, and ensuring data governance across domains.