Lead Azure Data Engineer/Architect-Technical Lead

Azure Data Engineering Technical Lead

Data Engineering Leadership Fabric

Location:  Remote USA- TRAVEL REQUIRED FOR FINAL INTERVIEW TO TAMPA, FL

Work Authorization:  Applicants must be legally authorized to work in the United States on a full-time basis without the need for current or future visa sponsorship. ( US Citizen or Green Card)

Type:   Full time/Direct

*******NO VENDORS*** Our client does not now or in the future provide any form of sponsorship. Applicants must be eligible to work direct without any sponsorship required.***

Role Description

This is a full-time, remote position leading a team of Data Scientists and Azure Data Engineers in the design, development, and delivery of machine learning models, enterprise data pipelines, and analytics solutions on  Microsoft Azure and Fabric.

• This full-time remote role is for a Lead Azure Data Engineer/Architect responsible for designing, building, and optimizing data solutions on  Microsoft Azure.
• The  Lead Azure Data Engineer /Architect will collaborate closely with stakeholders to gather requirements, translate them into technical designs, and ensure data quality, security, and
• The Technical Lead will guide and mentor other data engineers, collaborate with stakeholders to understand business requirements, and translate them into robust, maintainable data architectures.

8+ years Technical (Hands-On Leadership Required)

• Expert in Python, advanced T-SQL, strong Spark/PySpark
• Deep experience in:
• Azure Data Factory (ADF) for ML pipelines (required)
• Data engineering – ETL/ELT, data warehousing, medallion architecture
• Advanced experience with:
• Azure ecosystem
• Databricks
• Microsoft Fabric
• Apache Airflow

Qualifications

• 8+ years of Azure Data Engineering skill s, including building and maintaining data pipelines and integrating data from multiple sources.
• Hands-on experience with Data Modeling and Data Warehousing to design scalable, high-performance data structures and storage solutions.
• Proficiency in Extract Transform Load (ETL) processes, including orchestration, optimization, and monitoring of data workflows.
• Ability to enable and support Data Analytics, including preparing data for BI tools and advanced analytical use cases.
• Extensive experience with Microsoft Azure data services (e.g., Azure Data Factory, Azure Synapse, Azure Databricks, Azure SQL, Azure Data Lake).
• Demonstrated leadership skills, including mentoring technical teams, setting architectural standards, and driving project deliverables.
• Excellent communication and collaboration skills, with the ability to work effectively in remote, cross-functional teams.
• Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent practical experience.