Azure Data Lake Lead Engineer - Scale Data & Governance

Amaze Systems

Houston (TX)

On-site

USD 152,000 - 248,000

Full time

10 hours ago
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Job summary

Amaze Systems Inc in Houston, TX seeks a visionary Lead Azure Data Engineer to drive the design and delivery of Azure-based data lake solutions, governance, and high-volume analytics. This senior role requires strategic leadership and hands-on expertise in cloud data architectures.

You will architect pipelines with Databricks Delta Live Tables, Unity Catalog, and Delta Lake, mentor teams, collaborate with executives, and ensure cost-efficient, scalable data platforms in a fast-paced, onsite

Qualifications

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

Responsibilities

  • Architect scalable Azure-based data lake solutions.
  • Lead data transformation pipelines with Databricks Delta Live Tables and Structured Streaming.
  • Governance, security, and data quality across platforms.
  • Mentor teams in Azure, Databricks, and data streaming technologies.
  • Collaborate with cross-functional teams and translate tech challenges for executives.

Skills

SQL
Python/Scala
ETL pipelines
Databricks
Azure data engineering
Data governance

Education

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

Tools

Azure Data Factory
Azure Data Lake Storage
Databricks
Delta Live Tables
Unity Catalog
Synapse Analytics
Qlik Replicate
PowerBI

Job description

Amaze Systems Inc in Houston, TX seeks a visionary Lead Azure Data Engineer to drive the design and delivery of Azure-based data lake solutions, governance, and high-volume analytics. This senior role requires strategic leadership and hands-on expertise in cloud data architectures.

You will architect pipelines with Databricks Delta Live Tables, Unity Catalog, and Delta Lake, mentor teams, collaborate with executives, and ensure cost-efficient, scalable data platforms in a fast-paced, onsite

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