Lead Azure Data Engineer

Overview

Hybrid
$65 - $75
Contract - W2
Contract - Independent
Contract - 6 Month(s)

Skills

Big Data
Cloud Computing
Data Engineering
Data Quality
Data Architecture
Data Governance
Data Flow
Data Processing
Data Lake
Data Warehouse
Databricks
ELT
DevOps
Conflict Resolution
Extract
Transform
Load
Microsoft Azure
SQL

Job Details

Job Title: Lead Azure Data Engineer
Location: Atlanta, GA (Hybrid)
Experience: 10+ Years
Employment Type: Long Term Contract

Job Description:

We are seeking a highly experienced Lead Azure Data Engineer to join our team on a contract basis. This role is ideal for a data engineering professional with a deep understanding of Azure cloud technologies and modern data warehousing practices. The ideal candidate will have a strong background in Data Vault modeling, enterprise data architecture, and experience working with Microsoft Fabric, Databricks, or similar big data platforms.

Key Responsibilities:

  • Lead the design, development, and deployment of scalable data pipelines and ETL/ELT processes on Azure cloud platforms.
  • Architect and implement Data Vault 2.0 models and methodologies for enterprise data warehousing.
  • Collaborate with data architects, analysts, and business stakeholders to translate data requirements into technical solutions.
  • Optimize and manage data flows across various sources, using Azure Data Factory, Synapse Analytics, Databricks, and other Azure-native services.
  • Contribute to the evaluation and adoption of emerging tools and technologies, including Microsoft Fabric.
  • Provide technical leadership and mentorship to junior data engineers and team members.
  • Ensure best practices for data governance, data quality, and security are followed.

Must-Have Skills:

  • 10+ years of experience in Data Engineering or related field.
  • Strong proficiency in Data Vault modeling techniques and data warehousing concepts.
  • Hands-on experience with Azure Cloud services (Data Factory, Synapse, Data Lake, etc.).
  • Working knowledge of Microsoft Fabric or willingness to learn and lead adoption.
  • Experience with Databricks, Apache Spark, or similar big data platforms.
  • Proficiency in SQL, Python, or Scala for data processing and transformation.
  • Strong problem-solving and communication skills.

Preferred Qualifications:

  • Azure Data Engineer Certification (e.g., DP-203) is a plus.
  • Experience with CI/CD pipelines and DevOps practices for data solutions.
  • Familiarity with data mesh or modern data architecture frameworks.
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