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Data Modernization Jobs in Florida (NOW HIRING)

Deloitte

Sr Databricks Data Engineer

Tampa, FL · On-site

$108K - $129K/yr

Practitioners collaborate across business and technology functions to solve complex challenges in data modernization, governance, platform engineering, and insight delivery. Qualifications Required:

Deloitte

Sr Databricks Data Engineer

Miami, FL · On-site

$109K - $131K/yr

Practitioners collaborate across business and technology functions to solve complex challenges in data modernization, governance, platform engineering, and insight delivery. Qualifications Required:

Slalom Consulting

General Information

Miami, FL · On-site

$61 - $78.50/hr

Data platform modernization and migration, helping clients transition legacy data environments to Google Cloud. * AI-ready data foundations, ensuring high-quality, governed, and scalable data to ...

Accenture

Google Data Specialist

Tampa, FL · On-site

$70K - $196K/yr

The Work (What You Will Do) As a GCP Data Specialist, you will help deliver data modernization, analytics, and AI solutions on GCP. You will support architecture design, build data pipelines and ...

Accenture

Google Data Specialist

Miami, FL · On-site

$70K - $196K/yr

The Work (What You Will Do) As a GCP Data Specialist, you will help deliver data modernization, analytics, and AI solutions on GCP. You will support architecture design, build data pipelines and ...

InstantServe LLC

Data Analyst

Tallahassee, FL · On-site

Tallahassee, FL 32399 Position Overview:- We are seeking an Entry-Level Web Applications Programmer to support business modernization, data analysis, reporting, and application support initiatives.

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Showing results 21-40

All JobsData Modernization JobsData Modernization Jobs in Florida

Data Modernization information

What jobs pay $500,000 a year in the US?

In the field of data modernization, senior roles such as Chief Data Officer, Data Science Director, or Vice President of Data often have salaries reaching or exceeding $500,000 annually, especially in large organizations. These positions typically require extensive experience, advanced skills in data architecture, analytics, and leadership, and may include performance bonuses and stock options.

What is the difference between Data Modernization vs Data Analyst?

AspectData ModernizationData Analyst
Primary FocusUpgrading and transforming data systems and infrastructureAnalyzing data to generate insights and reports
Skills RequiredData architecture, cloud platforms, database managementStatistical analysis, data visualization, SQL
Work EnvironmentIT departments, data engineering teamsBusiness units, analytics teams
CertificationsCloud certifications, data management certificationsData analysis, visualization certifications

Data Modernization involves upgrading data systems and infrastructure to improve efficiency and scalability, often requiring technical expertise in data architecture and cloud platforms. In contrast, Data Analysts focus on interpreting data, creating reports, and providing insights to support business decisions. While both roles work with data, their core responsibilities and skill sets differ significantly.

What jobs make $1,000,000 a year?

In the field of data modernization, high-paying roles such as Chief Data Officer, Data Science Director, or Chief Technology Officer can earn over $1 million annually, especially in large organizations or tech companies. These positions typically require extensive experience, advanced skills in data management, leadership, and often involve overseeing large teams and strategic initiatives.

What is data modernization?

Data modernization is the process of updating and transforming legacy data systems and infrastructure to more current, scalable, and efficient technologies. It often involves migrating data to cloud platforms, implementing new data management tools, and adopting modern analytics and automation techniques to improve data accessibility and decision-making.

What are some common challenges faced by professionals working in Data Modernization projects?

Professionals in Data Modernization often encounter challenges such as integrating legacy systems with modern cloud-based solutions, ensuring data quality during migration, and managing data security and compliance. Additionally, they may need to collaborate closely with cross-functional teams to align business goals with technical requirements. Adaptability and strong communication skills are important, as priorities can shift rapidly in response to evolving business needs and technology updates.

What are the key skills and qualifications needed to thrive in Data Modernization, and why are they important?

To thrive in Data Modernization, you need strong expertise in data architecture, cloud platforms, and data migration, often supported by a degree in computer science or information systems. Familiarity with tools like Azure, AWS, Snowflake, ETL frameworks, and certifications such as AWS Certified Data Analytics or Microsoft Azure Data Engineer are commonly required. Excellent problem-solving, project management, and communication skills help professionals effectively lead transformation initiatives and collaborate with stakeholders. These skills are crucial for ensuring seamless migration, maximizing data value, and driving innovation within organizations.

Which 3 jobs will survive AI?

Data modernization professionals, data analysts, and database administrators are likely to continue thriving as AI automates routine tasks but still requires human oversight, interpretation, and strategic decision-making. These roles involve managing complex data systems, ensuring data quality, and applying domain expertise that AI cannot fully replicate. Skills in data governance, programming, and understanding AI tools will enhance job security in this field.
What are popular job titles related to Data Modernization jobs in Florida? For Data Modernization jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Data Modernization jobs in Florida look for? The top searched job categories for Data Modernization jobs in Florida are:
Data Modernization jobs near you
Infographic showing various Data Modernization job openings in Florida as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Architecture Delivery Specialist (Data / ML / AI)

SolGenie

Sarasota, FL • On-site

Contractor

This job post has expired today. Applications are no longer accepted.

Job description

Job Title: Architecture Delivery Specialist (Data / ML / AI)
Experience Required: 10+ Years
Work Mode: Onsite
Location: Sarasota, FL
Job Description:
The selected Architecture Delivery Specialist (Data / ML / AI) will have a deep understanding of our business goals, capabilities, value-streams, and integrated processes. The Architect Specialist is a Data/ML/AI technical leader who works collaboratively across the organization. This highly visible role works closely with Project teams and Product Owners within an Agile framework to design, develop and/or adopt technologies that meet the organization's needs.
Key Responsibilities
  • Collaborates with business stakeholders to determine functional and non-functional requirements for new software and/or applications. Provide Data / ML and AI platform recommended business workflow and architecture, understanding requirements, and helping each project team to document them.
  • Lead and develop Data Modernization strategy and roadmap to enable Insurance Carrier to migrate data computing to cloud using cloud native data / ML and AI assets, tools and capabilities.
  • Designs and supports the application architecture utilized by in-house developed applications, vendor applications and databases; ensures development efforts are carried out using a consistent and quality driven approach.
  • Serves as a hands-on Data / ML & A.I. Specialist Architect to include code and framework development. Provides hands on technical support, guidance and coaching to Data / ML and A.I. developers.
  • Oversees progress of development team to ensure consistency with initial design. Also ensures the software meets all requirements of quality, security, modifiability, extensibility, etc.
  • Designs and implements long-term strategic goals and short-term tactical plans for managing and maintaining Data / ML and A.I. software systems and platform. (Including assessing and addressing technical risks).

Qualifications
  • Bachelor's degree in computer science, IT or information systems.
  • Two plus years Implementing AI solutions for P&C insurance companies
  • Experience leading best practices and end-to-end architecture, design, and delivery.
  • Strong commercial property & casualty (P&C) insurance knowledge.
  • Working knowledge of Cloud Computing Technologies & Services.
  • Preferred Certifications in Data, ML & AI platform in configuration and integrations.
  • Exposure to multiple, diverse technologies, platforms and processing environments.
  • Advanced knowledge of the design and development of solutions across different functional domains leveraging varied technologies.
  • Experience with multiple middleware technologies (Application Servers, ESB & Message Brokers), Programming languages (e.g. Java, .Net, JavaScript), Operating Systems (e.g. Windows, Red hat Linux), Databases (Oracle, SQL Server, No SQL Databases like MongoDB and Postgres SQL) preferred.
  • Advanced knowledge of one or more operating systems, databases, & programming languages used by FCCI.
  • Experience supporting custom and third-party business applications, as well as understanding project interdependencies and systems integrations.
  • Advanced working knowledge of server hardware, software, and related equipment and technologies.
  • Solid understanding of Agile framework and incremental SDLC.
  • Ability to understand and improve systems; evaluates system's current state/practices and recommend modifications.
  • Excellent communication, negotiation, interpersonal and organizational skills.
  • Ability to analyze, define and solve problems, the use of good judgment and decision-making.

Preferred
  • Snowflake, Databricks, MDM Platform Informatica, Lake Fusion, Verato and BI Reporting (Cognos, Power BI, Tableau, Qlik) or similar working knowledge and certifications around are preferred
  • Experience working with commercial insurance and related business processes preferred, but not required.
  • AWS certifications around cloud architecture and AI are a plus, but not required

Apply