Senior Data Engineering Lead – Azure & Databricks

Amaze Systems

Houston (TX)

Presencial

USD 180.000 - 230.000

Jornada completa

hace 9 horas
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Descripción de la vacante

Amaze Systems in Houston, TX seeks a Lead Data Engineer to architect and lead scalable Azure-based data lake initiatives. You will drive Databricks Delta Live Tables pipelines, oversee data governance, and mentor a team delivering end-to-end analytics solutions.

Strong leadership and cloud data experience required. You will collaborate with executives to translate technical challenges into actionable insights, ensuring performance, security, and budget adherence across large-scale data

Formación

  • Bachelor’s or Master’s degree in IT or a related discipline.
  • 15–17 years of experience delivering cost-effective cloud-based data analytics solutions.
  • Proven track record in building data lake architectures and optimizing performance in big data environments.
  • Azure Data Engineering or Databricks certification preferred.

Responsabilidades

  • Architect, design, and implement scalable Azure-based data lake solutions.
  • Lead the development of data transformation pipelines using Databricks Delta Live Tables and Structured Streaming.
  • Provide technical leadership and ensure adherence to best practices and quality standards.
  • Establish roadmaps for capability-building across technologies like Qlik Replicate and Unity Catalog.
  • Oversee data governance, security, and metadata management.
  • Mentor and develop a high-performing team skilled in Azure and data streaming.

Conocimientos

Azure Data Platform
Databricks
Delta Live Tables
Unity Catalog
SQL
Python/Scala/Spark-SQL
ETL pipelines
Data governance
Leadership
Data migration

Educación

Bachelor’s or Master’s degree in IT or related field

Herramientas

PowerBI
QlikSense
Azure Synapse
Databricks

Descripción del empleo

Amaze Systems in Houston, TX seeks a Lead Data Engineer to architect and lead scalable Azure-based data lake initiatives. You will drive Databricks Delta Live Tables pipelines, oversee data governance, and mentor a team delivering end-to-end analytics solutions.

Strong leadership and cloud data experience required. You will collaborate with executives to translate technical challenges into actionable insights, ensuring performance, security, and budget adherence across large-scale data

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