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Senior Microsoft Azure Data Engineer Jobs in Florida

2T Consulting

Azure Databricks Solution Architect

Miami, FL · On-site

$61.25 - $79.75/hr

Required Qualifications * 12+ years of experience in Data Engineering, Data Architecture, or ... Microsoft Azure and/or Databricks certifications. * Experience developing reusable frameworks ...

2T Consulting

Azure Databricks Solution Architect

Miami, FL · On-site

$60.75 - $79.25/hr

Required Qualifications * 12+ years of experience in Data Engineering, Data Architecture, or ... Microsoft Azure and/or Databricks certifications. * Experience developing reusable frameworks ...

2T Consulting

Azure Databricks Solution Architect

Miami, FL · On-site

$58 - $75.50/hr

Required Qualifications * 12+ years of experience in Data Engineering, Data Architecture, or ... Microsoft Azure and/or Databricks certifications. * Experience developing reusable frameworks ...

2T Consulting

Azure Databricks Solution Architect

Miramar, FL · On-site

$58.75 - $76.75/hr

Required Qualifications * 12+ years of experience in Data Engineering, Data Architecture, or ... Microsoft Azure and/or Databricks certifications. * Experience developing reusable frameworks ...

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Senior Microsoft Azure Data Engineer information

What does a Senior Microsoft Azure Data Engineer do?

A Senior Microsoft Azure Data Engineer is responsible for designing, building, and maintaining data solutions using Microsoft Azure cloud services. They manage data pipelines, ensure data quality, and optimize storage and processing for large-scale data environments. These professionals also collaborate with other teams to implement best practices in data security, compliance, and performance, leveraging tools like Azure Data Factory, Azure Databricks, and Azure Synapse Analytics. Their expertise helps organizations make data-driven decisions and improve business outcomes.

What are the most common challenges faced by Senior Microsoft Azure Data Engineers when designing cloud-based data solutions?

Senior Microsoft Azure Data Engineers often encounter challenges such as optimizing data pipeline performance, ensuring data security and compliance, and managing costs within cloud environments. Balancing scalability with efficiency, especially when dealing with large volumes of real-time data, requires a deep understanding of Azure services and best practices. Additionally, collaborating with data architects, analysts, and DevOps teams to integrate and maintain robust data solutions is a key aspect of the role. Staying updated with Azure’s rapidly evolving ecosystem is essential for long-term success.

What are the key skills and qualifications needed to thrive as a Senior Microsoft Azure Data Engineer, and why are they important?

To thrive as a Senior Microsoft Azure Data Engineer, you need expertise in data modeling, ETL processes, cloud architecture, and proficiency with Azure services, supported by a degree in computer science or a related field. Familiarity with tools like Azure Data Factory, Synapse Analytics, Power BI, and relevant certifications such as Microsoft Certified: Azure Data Engineer Associate are typically required. Strong problem-solving, communication, and project management skills distinguish top professionals in this role. These capabilities are essential for designing robust data solutions, ensuring data integrity, and effectively collaborating with stakeholders in complex cloud environments.

What is the difference between Senior Microsoft Azure Data Engineer vs Data Engineer?

AspectSenior Microsoft Azure Data EngineerData Engineer
CertificationsAzure Data Engineer Associate, Azure certificationsGenerally no specific cloud certifications required
Work EnvironmentPrimarily cloud-based, Azure platformOn-premises, cloud, or hybrid environments
ResponsibilitiesDesigning, building, and maintaining data solutions on AzureDeveloping data pipelines, databases, and ETL processes
Industry UsageUsed in organizations leveraging Azure cloud servicesUsed across various industries and cloud providers

The main difference is that a Senior Microsoft Azure Data Engineer specializes in designing and managing data solutions specifically on the Azure platform, often requiring Azure certifications. In contrast, a Data Engineer may work with various cloud providers or on-premises systems without a focus on Azure, handling broader data pipeline and database tasks across different environments.

What are the most commonly searched types of Microsoft Azure Data Engineer jobs in Florida?

The most popular types of Microsoft Azure Data Engineer jobs in Florida are:

What are popular job titles related to Senior Microsoft Azure Data Engineer jobs in Florida?

For Senior Microsoft Azure Data Engineer jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Senior Microsoft Azure Data Engineer jobs in Florida look for?

The top searched job categories for Senior Microsoft Azure Data Engineer jobs in Florida are:

What cities in Florida are hiring for Senior Microsoft Azure Data Engineer jobs?

Cities in Florida with the most Senior Microsoft Azure Data Engineer job openings:

Senior Microsoft Azure Data Engineer jobs near you
Infographic showing various Senior Microsoft Azure Data Engineer job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Azure Databricks Solution Architect

2T Consulting

Miami, FL • On-site

$61.25 - $79.75/hr

Full-time

This job post has expired 2 days ago. Applications are no longer accepted.

Job description

Job Summary

We are seeking an Azure Databricks Solution Architect to lead the architecture, design, and implementation of scalable, secure, and high-performance data platforms on Microsoft Azure. This is a hands-on role requiring both architectural leadership and direct technical contribution to solution design, development, optimization, and delivery. The ideal candidate will drive platform strategy while building proof-of-concepts, reference architectures, and production-grade data solutions.

Roles and Responsibilities

  • Own the end-to-end architecture of Azure Databricks-based data platforms, including data ingestion, transformation, storage, governance, and consumption layers.

  • Design reusable data frameworks, ELT patterns, and scalable data models.

  • Develop and optimize Spark jobs and data pipelines with a focus on performance, scalability, reliability, and cost optimization.

  • Architect solutions using Azure Databricks, Delta Lake, Azure Data Lake Storage (ADLS), Azure Data Factory (ADF), and other Azure services.

  • Define platform governance, security, coding standards, and best practices.

  • Collaborate with business analysts, functional teams, and engineering teams to translate business requirements into technical solutions.

  • Conduct architecture reviews, code reviews, troubleshooting, and production support for complex data workloads.

  • Drive cloud modernization initiatives and adoption of Azure-native data and analytics services.

Required Qualifications

  • 12+ years of experience in Data Engineering, Data Architecture, or Platform Engineering.

  • Strong hands-on experience with Azure Databricks, Apache Spark, Python or Scala, SQL, and Delta Lake.

  • Proven experience designing and implementing enterprise data lakes, cloud data platforms, and analytical data stores.

  • Experience with Azure DevOps, CI/CD pipelines, and automated deployment practices.

  • Strong hands-on implementation experience with enterprise-scale Azure data solutions.

  • Excellent analytical, problem-solving, communication, and stakeholder management skills.

Preferred Qualifications

  • Experience in the Financial Services or Insurance domain.

  • Knowledge of Azure Event Hubs, Azure Cosmos DB, Azure Synapse Analytics, or other Azure analytics services.

  • Microsoft Azure and/or Databricks certifications.

  • Experience developing reusable frameworks, shell scripting, and supporting large-scale production environments.

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