Cloud Data Engineering Manager

Job Description

Job Description

Octagon Talent Solutions is a full-service technology recruitment and staffing company based in South Florida. We humanize technical recruitment by identifying candidates' long-term career goals and assessing cultural fit when presenting opportunities. Our focus on long-term relationships helps ensure placements that last.

We are 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 energy innovation, applying your technical skills in a company guided by their values.

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