Azure Lead Data Engineer

Job Title: Azure Lead Data Engineer (Azure LDE)

Location: Remote

Employment Type: Contract

Rate: $60/hr

Experience Required: 8+ Years

We are seeking an experienced Azure Lead Data Engineer with strong expertise in Azure Cloud, Snowflake, Azure Data Factory (ADF), and DBT to design, build, and optimize enterprise-scale data pipelines. This is an excellent opportunity for a hands-on data engineering leader who can architect modern cloud data solutions while mentoring engineering teams and driving best practices in data integration, governance, and performance optimization.

Top Required Skills:

• Azure Cloud & Azure Data Factory (ADF)

• Snowflake & SnowSQL

• DBT (Data Build Tool)

Key Responsibilities:

• Design, develop, and maintain scalable ETL/ELT pipelines using Azure Data Factory, Snowflake, and DBT.

• Build and optimize data integration workflows that ingest and transform data from multiple enterprise source systems into Snowflake.

• Develop efficient, optimized SQL queries for data extraction, transformation, and validation.

• Collaborate with business stakeholders to understand requirements and translate them into scalable technical solutions.

• Monitor, troubleshoot, and optimize data pipelines to ensure high availability, reliability, and performance.

• Provide technical leadership, mentoring, and guidance to junior Data Engineers.

• Implement and maintain data quality, governance, metadata, and documentation standards.

• Work closely with Data Architects, Data Analysts, DevOps, and cross-functional teams in a cloud-native environment.

• Support continuous improvement initiatives for cloud data engineering and automation.

Required Qualifications:

• Bachelor''s degree in Computer Science, Data Engineering, Information Technology, or a related field.

• 8+ years of experience in Data Engineering with Azure cloud technologies.

• Strong hands-on experience with Azure Cloud Platform services.

• Proven expertise in Azure Data Factory (ADF) for orchestration and automation of enterprise data pipelines.

• Advanced SQL skills for complex data transformation and performance optimization.

• Strong experience with Snowflake, SnowSQL, and cloud data warehousing.

• Hands-on experience with DBT (Data Build Tool) for data modeling and warehouse transformations.

• Experience working with large-scale cloud-based data platforms and enterprise datasets.

• Excellent analytical, problem-solving, communication, and collaboration skills.

Preferred Qualifications:

• Experience with DataStage, Netezza, Azure Data Lake, Azure Synapse Analytics, or Azure Functions.

• Experience with Python or PySpark for custom data processing and transformations.

• Knowledge of CI/CD pipelines, DevOps practices, and deployment automation for data engineering.

• Experience with data governance, metadata management, or enterprise data catalog tools.

• Familiarity with Power BI, Tableau, or other business intelligence platforms.

If you are a seasoned Azure Data Engineer with expertise in Azure, Snowflake, DBT, and cloud-native data engineering, we''d love to hear from you. Apply today with your updated resume.