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Data Migration Manager Jobs in Florida (NOW HIRING)

The Data Migration Analyst supports the complete lifecycle of data migration for banks and credit ... Support multiple concurrent conversion engagements by coordinating priorities, managing time ...

Data Migration Strategy Lead Key Responsibilities * Develop and Maintain the Horizon Data Playbook ... , integrations, SOX compliance, client data, and reporting. * Connect the Silos Partner across ...

Specific Responsibilities include but are not limited to: โ€ข Develop and manage a data migration prep plan, monitor the progress, and manage any necessary changes, issues, and coordinate resolution ...

Data Architect

Tallahassee, FL ยท On-site

$55.25 - $71/hr

... migration / data conversion * Source-to-target mapping and transformation * ETL / ELT and enterprise data integration * Data profiling, cleansing, reconciliation, and data-quality management * APIs ...

New

AWS Data Engineer

Tampa, FL ยท On-site

$108K - $129K/yr

If the candidate hasn't done - deploy using automation, operate, incident handle, tune data stores, capacity management, cloud data migration in one or many data stores on a production environment ...

Cloud Migration Project Manager

Tallahassee, FL ยท On-site

$93K - $110K/yr

Cloud Migration Project Manager Location: Tallahassee, FL Requirement: Background The Office of ... Familiarity with networking, security, and data migration considerations in cloud environments.

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Showing results 1-20

Data Migration Manager information

See Florida salary details

$23.2K

$72.6K

$128.5K

How much do data migration manager jobs pay per year?

As of Aug 25, 2026, the average yearly pay for data migration manager in Florida is $72,595.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,300.00 and $93,800.00 per year, depending on experience, location, and employer.

What is a data migration manager?

A Data Migration Manager is a professional responsible for planning, coordinating, and overseeing the transfer of data between storage systems, databases, or formats, typically during system upgrades or consolidations. They ensure that data is accurately and securely moved with minimal disruption to business operations. Their role involves developing migration strategies, managing risks, addressing data integrity issues, and collaborating with IT teams and stakeholders throughout the process.

What are the key skills and qualifications needed to thrive as a data migration manager?

To thrive as a Data Migration Manager, you need expertise in data management, project management, and a deep understanding of database systems, often supported by a degree in computer science or information technology. Familiarity with ETL tools, data mapping software, cloud platforms, and certifications such as PMP or Microsoft Azure Data Engineer are highly valuable. Strong problem-solving, communication, and leadership skills help in coordinating teams and ensuring clear stakeholder engagement. These capabilities are essential for delivering seamless, secure, and timely data migrations that minimize risk and business disruption.

What are some common challenges faced by data migration managers during large-scale system transitions?

Data Migration Managers often encounter challenges such as data quality issues, mismatched data formats, and tight project timelines during large-scale system transitions. Coordinating across multiple departments to ensure data integrity and minimize downtime requires strong communication and project management skills. Additionally, adapting to unexpected technical issues or legacy system constraints is common, making proactive planning and risk mitigation essential to a successful migration.

What is the difference between Data Migration Manager vs Data Analyst?

AspectData Migration ManagerData Analyst
Required CredentialsBachelor's in IT, Computer Science, or related; certifications like PMP or data management certificationsBachelor's in Statistics, Mathematics, or related; often certifications in data analysis tools
Work EnvironmentProject-based, IT departments, data migration projectsBusiness units, analytics teams, reporting environments
Employer & Industry UsageIT firms, large corporations, data integration projectsMarketing, finance, healthcare, and other sectors analyzing data
Common Search & ComparisonOften compared for project management and technical skillsCompared for data interpretation and reporting skills

The Data Migration Manager focuses on planning and executing data transfer projects, ensuring data integrity and system compatibility. In contrast, a Data Analyst interprets data to provide insights and support decision-making. While both roles work with data, their core responsibilities and skill sets differ significantly.

What are the most commonly searched types of Data Migration jobs in Florida?

The most popular types of Data Migration jobs in Florida are:

What are popular job titles related to Data Migration Manager jobs in Florida?

For Data Migration Manager jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Data Migration Manager jobs in Florida look for?

The top searched job categories for Data Migration Manager jobs in Florida are:

What cities in Florida are hiring for Data Migration Manager jobs?

Cities in Florida with the most Data Migration Manager job openings:

Infographic showing various Data Migration Manager job openings in Florida as of August 2026, with employment types broken down into 87% Full Time, 12% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $72,595 per year, or $34.9 per hour.

Data Migration Analyst

Nymbus, Inc.

Jacksonville, FL โ€ข Remote

Full-time

Posted 20 days ago


Job description

Nymbus (https://nymbus.com/) isn't just a leader in fintech; we're a community of innovators passionate about reimagining banking. Our award-winning modern core platform and cloud-based technology serve as the backbone for financial institutions eager to modernize and excel.

We operate with an AI-first mindset across our business, continuously improving how we work and the value we deliver to our clients. Our culture is grounded in collaboration, accountability, and a strong commitment to execution.

The journey to growth begins with doing something different, and that journey starts with the talented people who make Nymbus successful. Thank you for considering Nymbus as the catalyst for the next chapter of your career.

WORK ENVIRONMENT:

Nymbus is a remote-first company. Occasional travel may be required for client engagements, team planning sessions, or project activities. Working hours primarily align with the Eastern Time Zone; candidates located in the Eastern or Central time zones are preferred.

POSITION SUMMARY:

The Data Migration Analyst supports the complete lifecycle of data migration for banks and credit unions implementing the Nymbus Core platform. This includes analyzing source data from donor core systems, defining data requirements, mapping and transforming data, validating conversion results, and helping ensure data is accurate and complete before each go-live milestone.

This is a client-facing, hands-on role for someone who is naturally curious, analytical, and motivated to solve complex data challenges. The Data Migration Analyst will contribute directly to multiple conversion engagements while helping Nymbus develop reusable migration standards, documented conversion patterns, and AI-assisted tools that improve speed, accuracy, and scalability.

The successful candidate will be comfortable performing detailed conversion work while also identifying opportunities to automate manual processes, improve validation workflows, and advance the way data migration is delivered at Nymbus.

ESSENTIAL JOB FUNCTIONS/RESPONSIBILITIES:

  • Build and maintain data requirements for migrating source data from donor core systems into the Nymbus Core platform.
  • Analyze and map data across banking functions, including deposit operations, loan products, consumer demographics, retirement accounts, financial reporting structures, and general ledger data.
  • Use SQL and other programming languages to map source data, define transformation logic, and support conversion programming.
  • Verify conversion output against client source data, documented specifications, business requirements, and approved transformation rules.
  • Test and validate converted data using reporting tools, reconciliation processes, quality assurance checks, and exception analysis.
  • Identify data quality issues, transformation errors, and anomalies that could affect conversion accuracy, completeness, or readiness.
  • Lead and participate in client discussions involving source data structures, business rules, mapping decisions, conversion results, and issue resolution.
  • Collaborate with client project teams, internal delivery consultants, technical teams, and other stakeholders to ensure timely and effective implementation of Nymbus software and services.
  • Support multiple concurrent conversion engagements by coordinating priorities, managing time-sensitive deliverables, and completing assigned work with minimal supervision.
  • Design, build, and improve AI-assisted tools and automations that accelerate data migration activities, reduce manual effort, and improve consistency.
  • Explore opportunities to automate field-mapping recommendations across commonly encountered donor core systems.
  • Develop tools and processes that help identify data anomalies during transformation and streamline validation activities that currently require significant manual intervention.
  • Document conversion patterns, source-system knowledge, data-mapping standards, transformation rules, validation procedures, and reusable frameworks.
  • Contribute to a shared body of institutional knowledge that improves consistency, reduces ramp time, and increases team resilience across future conversions.
  • Recommend improvements to data migration processes, tools, standards, and quality controls based on lessons learned from conversion engagements.
  • Maintain a flexible schedule that allows for occasional travel, weekend work, or holiday work when required to support critical conversion and go-live activities.

QUALIFICATIONS:

  • 2+ years of experience in financial services, preferably with hands-on experience in data conversion, data migration, ETL, conversion programming, or software development within a core banking or fintech environment.
  • Proficiency in SQL and experience using SQL to analyze, map, transform, reconcile, or validate data.
  • Familiarity with additional programming or scripting languages is strongly preferred.
  • Experience interpreting technical specifications, source-data structures, transformation rules, and business requirements.
  • Understanding of banking data and operations, including deposit accounts, loan products, retirement accounts, consumer demographics, general ledger or financial reporting structures, banking regulations, and personally identifiable information policies.
  • Experience with data validation, reconciliation, reporting, exception analysis, or quality assurance processes.
  • Genuine curiosity about artificial intelligence and a demonstrated interest in building tools, automations, or improved workflows that make analytical work faster and more reliable.
  • Strong analytical and problem-solving skills, with the ability to investigate complex data issues and drive them through resolution.
  • Strong written and verbal communication skills, including the ability to explain technical data concepts to clients and cross-functional stakeholders.
  • Ability to manage multiple priorities and deliver accurate work within time-sensitive project schedules.
  • Self-directed, process-oriented, and highly attentive to detail.

Preferred Qualifications

  • Experience supporting core banking conversions or migrations from commonly used donor core platforms.
  • Experience developing reusable data-mapping frameworks, validation utilities, reporting tools, or workflow automations.
  • Familiarity with AI-assisted development tools, large language models, machine learning applications, or automated anomaly-detection approaches.
  • A continuous-improvement mindset and an interest in helping define the future of AI-assisted data migration at Nymbus.

SALARY & BENEFITS:

  • $110,000 - $125,000 Annual Salary
  • Annual Cash Bonus and Equity Options commensurate with the role level and experience
  • 100% Remote
  • 401(k) plan
  • Insurance - Health, Dental and Vision
  • Paid Time Off

Ready to join? We invite you to watch this video and learn who we are and how we build and innovates together!

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