Octagon Talent
Job Description
Job Overview
ITRADE is in search of a Lead Cloud Data Engineering Manager for one of our leading client companies in the Ft. Lauderdale area. This exciting opportunity allows you to leverage your expertise in Microsoft Azure ecosystem to design and implement scalable cloud-based data solutions while leading data engineering initiatives. You'll work at the forefront of clean energy innovation, applying your technical skills in a company guided by values of relationship-building, entrepreneurial spirit, and contagious energy.
Responsibilities
Design, build, and maintain scalable cloud-based data solutions within the Microsoft Azure ecosystem
Lead development of data pipelines and ETL / ELT workflows using Azure Data Factory
Develop and optimize data lake and warehouse architectures using Azure Data Lake Storage Gen2, Azure Synapse Analytics, and SQL Server
Implement robust data ingestion frameworks for structured and unstructured data sources
Design and enforce data governance standards and security policies using Azure Purview and SQL Server security roles
Collaborate with stakeholders to deliver semantic models, Power BI datasets, and dashboards
Manage CI / CD processes for data infrastructure using Azure DevOps
Provide technical mentorship to junior engineers
Requirements
Bachelor's or Master's degree in Computer Science, Information Systems, or related field
7+ years of professional experience in data engineering, with 3+ years focused on Microsoft cloud data technologies
Strong expertise in T‑SQL, including optimized queries, stored procedures, and views
Experience with data modeling best practices, dimensional modeling, and snapshotting techniques
Advanced SQL concepts knowledge (joins, aggregates, indexing, normalization)
Proven experience building enterprise‑grade solutions with Azure Data Factory, Synapse, Data Lake Storage Gen2, Functions, and Logic Apps
Hands‑on experience with Power BI, including DAX and M language
Familiarity with Agile / Scrum methodologies, Git, and project management tools
Experience with data governance, compliance, and security requirements
#J-18808-Ljbffr
Responsibilities
Design, build, and maintain scalable cloud-based data solutions within the Microsoft Azure ecosystem
Lead development of data pipelines and ETL / ELT workflows using Azure Data Factory
Develop and optimize data lake and warehouse architectures using Azure Data Lake Storage Gen2, Azure Synapse Analytics, and SQL Server
Implement robust data ingestion frameworks for structured and unstructured data sources
Design and enforce data governance standards and security policies using Azure Purview and SQL Server security roles
Collaborate with stakeholders to deliver semantic models, Power BI datasets, and dashboards
Manage CI / CD processes for data infrastructure using Azure DevOps
Provide technical mentorship to junior engineers
Requirements
Bachelor's or Master's degree in Computer Science, Information Systems, or related field
7+ years of professional experience in data engineering, with 3+ years focused on Microsoft cloud data technologies
Strong expertise in T‑SQL, including optimized queries, stored procedures, and views
Experience with data modeling best practices, dimensional modeling, and snapshotting techniques
Advanced SQL concepts knowledge (joins, aggregates, indexing, normalization)
Proven experience building enterprise‑grade solutions with Azure Data Factory, Synapse, Data Lake Storage Gen2, Functions, and Logic Apps
Hands‑on experience with Power BI, including DAX and M language
Familiarity with Agile / Scrum methodologies, Git, and project management tools
Experience with data governance, compliance, and security requirements
#J-18808-Ljbffr