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# Senior Data & Cloud Engineer

- **Company:** VDart, Inc.
- **Location:** Miami, FL, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Business Analytics Applications, Microsoft Azure, Big Data, Cloud Computing, Cloud Engineering, Databases, Information Engineering, Extract Transform Load (ETL), Data Security, Data Warehousing, Database Development, DevOps, Key Management, Meta-Data Management, Microsoft Software, SQL Azure, Oracle (Applications), Oracle SQL Developer, Performance Tuning, Azure Data Lake, Software Engineering, SQL Stored Procedures, PL-SQL, Data Ingestion, Azure Data Factory, Microsoft Fabric, Data Lakes, Data Management, Azure Synapse Analytics, Stream Analytics, Data Pipelines, Serverless Computing
- **Published:** October 22, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-data-cloud-engineer-miami-fl--d4a31fde-7c74-407e-9319-df1fa20258ed

## About the Role

Software Engineering, Cloud Computing, Data Management, Ecosystems, Sales Pipeline, Database Programming, Data Warehousing, Oracle PL-SQL, Microsoft Windows Azure, Microsoft Product Family, * 8+ years of experience in Data Engineering, Database Development, or Data Warehousing.

 * 5+ years of hands-on Oracle PL/SQL development experience.
 * 3+ years of experience with Azure Data Platform services.
 * 2+ years of experience with Microsoft Fabric implementation and administration.
 * Experience supporting enterprise-scale reporting and analytics environments.

## Description

This role will be responsible for migrating, optimizing, and managing data pipelines while ensuring scalability, security, performance, and reliability across the enterprise data ecosystem., Data Engineering & Development

 * Design, develop, and maintain complex Oracle PL/SQL programs, packages, stored procedures, functions, triggers, and performance tuning solutions.
 * Analyze existing database solutions and recommend modernization opportunities leveraging Azure and Microsoft Fabric.
 * Develop and optimize ETL/ELT processes for large-scale data movement and transformation.
 * Build and support enterprise data warehouse and data lake solutions.
 * Perform data modeling, data quality management, and metadata management activities.

Microsoft Fabric Responsibilities

 * Design and implement Microsoft Fabric solutions including:
 * Fabric Data Factory
 * Lakehouse
 * Data Warehouse
 * OneLake
 * Notebooks
 * Real-Time Analytics
 * Semantic Models
 * Power BI Integration
 * Develop data ingestion and transformation pipelines using Fabric.
 * Optimize Fabric workloads for performance, scalability, and cost efficiency.
 * Implement end-to-end analytics solutions within the Fabric ecosystem.

Azure Cloud Responsibilities

 * Design and implement cloud-native data solutions using Azure services.
 * Develop solutions utilizing:
 * Azure Data Factory (ADF)
 * Azure Data Lake Storage (ADLS)
 * Azure SQL Database
 * Azure Synapse Analytics
 * Azure Functions
 * Azure Key Vault
 * Azure Monitor
 * Azure DevOps
 * Support cloud migration initiatives from on-premises Oracle environments to Azure/Fabric platforms.
 * Ensure cloud architecture aligns with security, governance, and compliance standards.

Governance

 * Implement CI/CD pipelines and DevOps best practices.
 * Ensure data security, governance, and regulatory compliance.
 * Participate in architecture reviews and technology roadmap planning.