Job description

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.

Requirements