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Data Modernization Jobs (NOW HIRING)

BravoTech

Data Management Manager

Dallas, TX · On-site

Lead enterprise data modernization programs, including migration from legacy platforms to cloud-based Data Lake and Lakehouse solutions. Implement best practices for data ingestion, transformation ...

Data Ideology LLC

Cloud Data Architect

Pittsburgh, PA · On-site +1

$62 - $79.50/hr

Lead modernization initiatives for legacy data environments, including migration strategy, data mapping/transformation, reconciliation, and cutover to production. * Build frameworks for real-time and ...

CBTS

Senior Data Engineer

Cincinnati, OH · On-site

$75/hr

Senior Data Engineer Data Modernization / Fabric Migration Location: Cincinnati, OH Pay Rate: $75/hr on W2 Employment: Contract / Contract-to-Hire Duration: 6+ Months (Potential Long-Term Opportunity ...

SmartIPlace

Technical Data Analyst

Jersey City, NJ · On-site

Support enterprise MDM implementation and modernization initiatives. * Perform data analysis, source-to-target mapping, reconciliation, and integration across multiple financial systems.

Tror AI for everyone

Google Cloud Data Architect

Dallas, TX · On-site

$63 - $81/hr

Google Cloud Data Architect - IAM Data Modernization Job Location: Dallas, TX (4 days onsite) Job Type: Contract Note: Need 13- 15Years of experience resumes. Required Qualifications * 5+ years ...

Staffingine LLC

Data Testing Manager

Irvine, CA · On-site

Contract * Lead and manage end-to-end testing activities for MDM modernization projects. * Develop comprehensive test strategies, plans, and scripts for data migration, integration, and ...

PMHCC Inc.

Data Application Specialist

Philadelphia, PA · On-site

$80K - $95K/yr

The Data Application specialist works as a member of the Data Modernization team under the Data Modernization Director. Their primary function is to find technical solutions for modernization ...

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All JobsData Modernization Jobs

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.
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Data Modernization jobs near you
Infographic showing various Data Modernization job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution.

Data Architecture & Governance Lead

Reef Point Group

Annapolis, MD • On-site

Full-time

Re-posted 12 days ago

Job description

Description:About ReefPoint Group

ReefPoint Group (RPG) is a mission-driven consulting firm focused on improving outcomes for Veterans, service members, and federal agencies through data, technology, and strategic consulting. We partner with our clients to solve complex operational challenges, modernize systems, and transform data into actionable insight.


At RPG, we value curiosity, collaboration, and innovation. Our teams work alongside clients to deliver practical solutions that drive mission impact.


Position Overview

ReefPoint Group is seeking experienced professionals to support enterprise data strategy, governance, and architecture initiatives for federal clients.


This role is ideal for professionals who understand that effective data environments require more than technology alone. We are seeking individuals who can help organizations define standards, establish governance frameworks, improve data quality, and align enterprise data architecture with mission and operational objectives.


Successful candidates will bring experience supporting enterprise data modernization, governance implementation, or architecture strategy within complex organizations and federal environments.


What You'll Do
  • Support development and implementation of enterprise data governance and architecture strategies
  • Establish and maintain data standards, policies, and governance frameworks
  • Support metadata management, data stewardship, and data lifecycle activities
  • Partner with stakeholders to align data architecture and governance practices with mission objectives
  • Assess and improve data quality, integrity, and accessibility across systems
  • Support enterprise data modernization and transformation initiatives
  • Contribute to architecture planning and platform alignment activities
  • Facilitate collaboration across technical, operational, and leadership stakeholders
  • Identify risks, gaps, and opportunities related to enterprise data management
  • Support governance adoption, organizational change, and continuous improvement efforts
Requirements:
  • Bachelor's degree in Information Systems, Computer Science, Data Science, Engineering, Public Administration, or related field, or equivalent experience
  • Minimum 3+ years of experience supporting data governance, data management, enterprise architecture, or related initiatives
  • Experience supporting data standards, governance activities, or enterprise data management efforts
  • Strong understanding of data lifecycle concepts, data quality, and enterprise information management
  • Experience collaborating with technical and non-technical stakeholders
  • Ability to support complex client environments and evolving priorities
Preferred Qualifications
  • Experience supporting federal agencies including VA, DoD, DHA, or civilian agencies
  • Experience with enterprise architecture or governance frameworks
  • Experience with metadata management, master data management, or data stewardship programs
  • Experience supporting cloud or modern data platform environments
  • Familiarity with data governance tools and enterprise data catalogs
  • Experience supporting data modernization or digital transformation initiatives
  • Experience working in Agile or DevSecOps environments
  • Public Trust or security clearance eligibility or active clearance


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