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Data Modernization Jobs in Florida (NOW HIRING)

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 ...

Socket.dev

Senior Data Engineer

Tampa, FL · On-site

$77K - $180K/yr

Data Engineers in this program support the command through a combination of data governance and data modernization efforts. Data Engineers will be embedded within the SOCOM HQ to provide subject ...

Accenture

Google Senior Data Engineer

Saint Petersburg, FL · On-site

$94K - $266K/yr

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

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Data Modernization information

What are the key skills and qualifications needed to thrive in data modernization?

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.

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 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 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 August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Information Technology_USA - USA_Developer

Jacksonville, FL • On-site

Real Soft, Inc.
IT Services • 501 - 1,000 employees
Learn more about Real Soft, Inc.external

Contractor

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

Job description

ALL CAPS, NO SPACES B/T UNDERSCORES PTN_US_GBAMSREQID_
Candidate BeelineID i.e. PTN_US_9999999_SKIPJOHNSON0413
MSP Owner: Thomas Hodges
Targeted - hr
REQUIREMENT_CITY -Newark, NJ (No Remote - 3 days in office)
REQUIREMENT_ID-10750036
Role Name - Technically Project Manager with data engineering experience
ROLE_DESCRIPTION -
Linked in URL is mandatory
Please DO NOT submit any candidates without Investment Management or Asset Management experience. DO NOT submit if the candidate has only BANK working experience. The profiles will be rejected.
NJ candidates will be given priority compared to candidates from other locations joining on day 1. We are open for other locations candidates who are willing to relocate but NJ based candidates will be given priority based on our past experience.
Role Overview
We are looking for a technically strong Project Manager / Delivery Manager with prior hands-on experience as a Developer or Technical Lead, who has transitioned into a project or delivery management role. The individual should have deep technical understanding to effectively lead complex data engineering and modernization initiatives.
Key Responsibilities
Lead end-to-end delivery of medium to large-scale data migration and data platform modernization initiatives.
Drive project planning, execution, and governance across onshore and offshore teams.
Develop and manage detailed project plans, migration roadmaps, sprint backlogs, and delivery milestones.
Coordinate closely with engineering, infrastructure, and architecture teams to ensure alignment and timely delivery.
Proactively identify technical risks, bottlenecks, and design gaps, and define mitigation strategies.
Facilitate informed decision-making by leveraging strong technical depth and understanding of underlying platforms.
Ensure adherence to delivery timelines, quality standards, and stakeholder expectations.
Required Experience & Skills
Prior hands-on experience as a Developer or Technical Lead before moving into a Project Manager or Delivery Manager role.
Strong background in data engineering, infrastructure management, and data architecture.
Proven experience leading:
Data migrations
Data platform buildouts
Data pipelines, ETL frameworks, orchestration, and streaming data services
Demonstrated ability in technical project/delivery management for complex, large-scale programs.
Strong understanding of agile delivery, sprint planning, and execution.
Excellent communication and stakeholder management skills, with the ability to bridge technical and business teams.
Preferred Qualifications
Experience working with modern data platforms and cloud-based data ecosystems.
Prior exposure to data modernization or transformation programs.
Ability to work effectively with globally distributed teams.
While it may be challenging to find candidates who meet all criteria, strong technical background combined with hands-on project management experience in data migrations or modernization is critical for this role.
Please align sourcing and screening accordingly and share only profiles that closely match the above expectations.
Skills: Communication~Project Management
Experience Required: 4-6, Project Code :

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