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Data Solution Architect Jobs in Florida (NOW HIRING)

Azure Databricks Solution Architect

Miami, FL ยท On-site

$60.75 - $79.25/hr

Design reusable data frameworks, ELT patterns, and scalable data models. * Develop and optimize ... Architect solutions using Azure Databricks, Delta Lake, Azure Data Lake Storage (ADLS), Azure Data ...

Azure Databricks Solution Architect

Miami, FL ยท On-site

$58 - $75.50/hr

Design reusable data frameworks, ELT patterns, and scalable data models. * Develop and optimize ... Architect solutions using Azure Databricks, Delta Lake, Azure Data Lake Storage (ADLS), Azure Data ...

Azure Databricks Solution Architect

Miami, FL ยท On-site

$59.25 - $77.25/hr

Design reusable data frameworks, ELT patterns, and scalable data models. * Develop and optimize ... Architect solutions using Azure Databricks, Delta Lake, Azure Data Lake Storage (ADLS), Azure Data ...

Azure Databricks Solution Architect

Miami, FL ยท On-site

$58.75 - $76.75/hr

Design reusable data frameworks, ELT patterns, and scalable data models. * Develop and optimize ... Architect solutions using Azure Databricks, Delta Lake, Azure Data Lake Storage (ADLS), Azure Data ...

Azure Databricks Solution Architect

Kendall, FL ยท On-site

$60.75 - $79.25/hr

Design reusable data frameworks, ELT patterns, and scalable data models. * Develop and optimize ... Architect solutions using Azure Databricks, Delta Lake, Azure Data Lake Storage (ADLS), Azure Data ...

$60.75 - $79.25/hr

Design reusable data frameworks, ELT patterns, and scalable data models. * Develop and optimize ... Architect solutions using Azure Databricks, Delta Lake, Azure Data Lake Storage (ADLS), Azure Data ...

Azure Databricks Solution Architect

Miramar, FL ยท On-site

$58.75 - $76.75/hr

Design reusable data frameworks, ELT patterns, and scalable data models. * Develop and optimize ... Architect solutions using Azure Databricks, Delta Lake, Azure Data Lake Storage (ADLS), Azure Data ...

Azure Databricks Solution Architect

West Park, FL ยท On-site

$59 - $76.75/hr

Design reusable data frameworks, ELT patterns, and scalable data models. * Develop and optimize ... Architect solutions using Azure Databricks, Delta Lake, Azure Data Lake Storage (ADLS), Azure Data ...

Showing results 21-40

Data Solution Architect information

See Florida salary details

$8

$53

$70

How much do data solution architect jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for data solution architect in Florida is $53.23, according to ZipRecruiter salary data. Most workers in this role earn between $48.51 and $59.81 per hour, depending on experience, location, and employer.

What is a data solution architect?

Data Solution Architects are professionals who design and implement data management and analytics solutions for organizations. They are responsible for creating the architecture that allows businesses to collect, store, process, and analyze large amounts of data effectively and securely. Their work involves selecting appropriate technologies, ensuring data quality, integrating systems, and aligning solutions with business goals. They often collaborate with stakeholders, developers, and data engineers to deliver scalable and reliable data platforms.

How does a data solution architect typically collaborate with cross-functional teams during a project?

A Data Solution Architect regularly works alongside business analysts, data engineers, software developers, and project managers to design and implement scalable data solutions. They act as a bridge between technical and non-technical stakeholders, ensuring that business requirements are accurately translated into technical specifications. Throughout the project lifecycle, they lead architectural decision-making, provide guidance on data modeling, and review system integration points to maintain consistency and performance. Effective communication and a collaborative mindset are essential for success in this role.

What are the key skills and qualifications needed to thrive as a data solution architect, and why are they important?

To thrive as a Data Solution Architect, you need expertise in data modeling, database design, and analytics, often supported by a degree in computer science or related fields. Proficiency with cloud platforms (such as AWS, Azure, or Google Cloud), data integration tools, and certifications like AWS Certified Solutions Architect are typically required. Strong communication, problem-solving, and stakeholder management skills help you bridge technical and business requirements. These capabilities are crucial for designing scalable, secure, and effective data solutions that meet organizational goals.

What is the difference between Data Solution Architect vs Data Engineer?

AspectData Solution ArchitectData Engineer
Required CredentialsBachelor's/Master's in CS, certifications like AWS, Azure, or GCPBachelor's/Master's in CS, certifications like AWS, Azure, or GCP
Work EnvironmentDesigns data solutions, collaborates with stakeholders, oversees architectureBuilds, maintains, and optimizes data pipelines and infrastructure
Employer & Industry UsageUsed in organizations needing data architecture design, often in tech, finance, healthcareUsed in organizations managing large-scale data processing, in tech, retail, finance

The Data Solution Architect and Data Engineer roles share similar credentials and industry usage. However, the architect focuses on designing data solutions and overseeing architecture, while the engineer implements and maintains data pipelines. Both roles are essential in data-driven organizations but serve different functions within the data ecosystem.

How much do data solution architects make in the US?

Data Solution Architects in the US typically earn between $100,000 and $160,000 annually, with salaries varying based on experience, location, and industry. Senior roles or those with specialized skills in cloud platforms and data management tools can earn higher compensation, often exceeding $180,000 per year.

How much does a data solution architect get paid?

Data Solution Architects typically earn between $100,000 and $160,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in cloud platforms and data management tools may offer higher salaries. Certifications like AWS or Azure can also influence compensation levels.

Is a data solution architect a stressful job?

A data solution architect role can be stressful due to project deadlines, complex technical challenges, and the need to align data strategies with business goals. The job often requires strong problem-solving skills, attention to detail, and the ability to manage multiple priorities, which can contribute to work-related stress.

What does a data solution architect do?

A data solution architect designs and implements data management systems and architectures to meet organizational needs. They analyze data requirements, select appropriate tools and technologies, and ensure data security and compliance, often working with cloud platforms and data modeling techniques.

What are popular job titles related to Data Solution Architect jobs in FL?

For Data Solution Architect jobs in FL, the most frequently searched job titles are:

Infographic showing various Data Solution Architect job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $110,716 per year, or $53.2 per hour.

Azure Databricks Solution Architect

2T Consulting

Miami, FL โ€ข On-site

$60.75 - $79.25/hr

Full-time

This job post hasย expired today.ย 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.