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Azure Databricks Jobs in Florida (NOW HIRING)

Ztek Consulting INC

Azure Databricks Architect

Miami, FL · On-site

$60.75 - $79.25/hr

Detailed We are seeking a Azure Databricks Architect to define and lead the architecture of scalable, secure, and high-performance data platforms on Microsoft Azure. This role is hands-on and ...

Deloitte

Azure/Databricks Infrastructure Engineer

Tampa, FL · On-site

$52.75 - $70.50/hr

As an Azure/Databricks Infrastructure Engineer, you will design, implement, and optimize secure, scalable Azure and Databricks environments that support analytics, AI, and enterprise data ...

Deloitte

Azure/Databricks Infrastructure Engineer

Miami, FL · On-site

$53.25 - $71.25/hr

As an Azure/Databricks Infrastructure Engineer, you will design, implement, and optimize secure, scalable Azure and Databricks environments that support analytics, AI, and enterprise data ...

Slide Insurance

Data Engineer

Tampa, FL · On-site

$108K - $129K/yr

As an Azure Databricks Data Engineer at Slide, you will build and support data pipelines using Azure Data Factory , Databricks , PySpark , and Spark SQL . You'll partner with engineering and business ...

Guru Schools

Data Architect

Tallahassee, FL · On-site

$60.50 - $78/hr

They will work with Azure Data Factory (ADF), Azure Databricks, Azure Synapse, Power BI, and Azure Purview. The ETL Architects will be at the forefront of transforming complex data into actionable ...

Guru Schools

Data Architect

Tallahassee, FL · On-site

$60.50 - $78/hr

They will work with Azure Data Factory (ADF), Azure Databricks, Azure Synapse, Power BI, and Azure Purview. The ETL Architects will be at the forefront of transforming complex data into actionable ...

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How much do azure databricks jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for azure databricks in Florida is $43.64, according to ZipRecruiter salary data. Most workers in this role earn between $39.52 and $49.04 per hour, depending on experience, location, and employer.

Is Azure Databricks in demand?

Azure Databricks is a highly sought-after skill in data engineering and analytics roles due to its widespread adoption for big data processing and machine learning. Professionals with expertise in Spark, cloud platforms, and data pipelines using Azure Databricks are increasingly in demand across industries seeking scalable data solutions.

How much do Databricks employees make?

Azure Databricks employees' salaries vary based on role, experience, and location, but the average salary for data engineers and data scientists ranges from $100,000 to $150,000 annually. Entry-level positions typically start around $80,000, while senior roles can exceed $180,000. Compensation often includes benefits such as stock options and performance bonuses, especially for technical roles requiring expertise in cloud platforms and big data tools.

What does a typical day look like for someone working in an Azure Databricks role?

A typical day for an Azure Databricks professional involves designing, developing, and maintaining data pipelines, collaborating with data scientists and business analysts to transform raw data into actionable insights. You may spend time configuring Spark clusters, optimizing query performance, ensuring data security, and troubleshooting data workflow issues. Regular meetings with stakeholders and team members are common to align on project requirements and report progress. This role often offers a mix of independent technical work and team collaboration, making it both dynamic and engaging.

What are jobs in Azure Databricks?

Jobs in Azure Databricks refer to automated tasks or workflows that run data processing, analytics, or machine learning tasks on the platform. They are scheduled or triggered to execute notebooks, JAR files, or Python scripts, often requiring knowledge of Spark, Scala, or Python, and are managed through the Azure Databricks workspace. These jobs enable scalable data engineering and analytics operations for data teams.

What is an Azure Databricks job?

An Azure Databricks job is a way to run a notebook, JAR, Python script, or other workload in an automated or scheduled manner on an Azure Databricks cluster. Jobs allow users to orchestrate data processing, machine learning tasks, or ETL workflows efficiently. They can be triggered manually, on a schedule, or in response to events, enabling streamlined data pipeline management. Jobs also support multi-task workflows, allowing dependencies between different tasks.

What are the key skills and qualifications needed to thrive in the Azure Databricks position, and why are they important?

To thrive as an Azure Databricks professional, you need expertise in big data analytics, data engineering, and proficiency with SQL, Python, and Apache Spark, typically supported by a degree in computer science or a related field. Familiarity with the Azure cloud ecosystem, Databricks platform tools, and advantageous certifications like Azure Data Engineer Associate are highly valuable. Strong problem-solving skills, collaboration, and the ability to communicate technical concepts clearly help set you apart in this role. These abilities are crucial for designing and optimizing scalable data solutions and effectively working within cross-functional data teams.

Are Databricks skills in demand?

Azure Databricks skills are highly in demand as organizations seek professionals proficient in cloud-based data analytics, big data processing, and machine learning. Knowledge of Spark, Python, and data engineering concepts enhances job prospects in roles such as data engineer, data scientist, and analytics engineer.
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Azure Databricks jobs near you
Infographic showing various Azure Databricks job openings in Florida as of June 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution, with an average salary of $90,778 per year, or $43.6 per hour.
Azure Databricks Architect

Azure Databricks Architect

Long Finch Technologies

Miami, FL

$60.75 - $79.25/hr

Full-time

Posted 9 days ago

Job description

Summary:

We are seeking a Azure Databricks Architect to define and lead the architecture of scalable, secure, and high-performance data platforms on Microsoft Azure. This role is hands-on and requires both architectural leadership and direct contribution to design, development, optimization, and delivery. The ideal candidate will shape platform strategy while actively building proof-of-concepts, reference implementations, and production-grade solutions.

Must-have qualifications

·       12+ years of experience in data engineering, data architecture, or platform engineering.

·       Strong hands-on experience with Azure Databricks, Spark, Python/Scala, SQL, and Delta Lake.

·       Proven experience designing and implementing cloud data hubs, data lakes, and analytical data stores.

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

·       Ability to work directly on technical implementation, not only provide oversight.

·       Strong communication and stakeholder collaboration skills .

Preferred qualifications

·       Experience in financial services or insurance.

·       Knowledge of Event Hub, Cosmos DB, Azure Synapse, or other Azure analytics services.

·       Databricks or Microsoft Azure certifications.

·       Experience with reusable frameworks, shell scripting, and production support in large-scale environments.

Key responsibilities

·       Own the end-to-end architecture for Azure Databricks-based data platforms, including ingestion, transformation, storage, serving, and governance layers .

·       Design reusable frameworks, ELT patterns, and data models that improve delivery speed, consistency, and maintainability.

·       Build and optimize pipelines and Spark jobs directly, with a strong focus on performance, reliability, and cost efficiency.

·       Architect solutions using Azure Databricks, Delta Lake, ADLS, Azure Data Factory, and related Azure platform services.

·       Establish governance, security and code-quality standards for the platform.

·       Partner closely with business analysts, functional teams, and engineering teams to translate requirements into working solutions.

·       Guide troubleshooting, code reviews, and production support for complex data workloads.

·       Drive modernization and cloud-native adoption across data and analytics capabilities.

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