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Data Modernization Jobs (NOW HIRING)

WinWire Technologies

AWS Data Architect

Newport Beach, CA

$68.50 - $88/hr

... data modernization, AI-enabled data engineering, (insurance/financial) Bachelor s or Master s degree in Computer Science, Engineering, or related technical discipline. 12 16 years of hands-on ...

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 ...

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 ...

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 ...

Govcio LLC

SME Data Scientist

Alexandria, VA · On-site

$160K - $210K/yr

GovCIO is currently hiring for a SME Data Scientist to lead enterprise-level data modernization efforts for Mission Partner environments within the U.S. Coast Guard. This position will be located in ...

A-TEK Inc.

Senior Data Engineer

Continental, OH · On-site +1

$160K - $170K/yr

Senior Data Engineer (Cloud & Data Modernization) A-TEK is seeking a Senior Data Engineer to support enterprise data modernization, cloud-native data engineering, analytics enablement, and data ...

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Data Modernization information

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.

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 data modernization?

Data modernization is the process of updating and transforming an organization’s data infrastructure, tools, and practices to leverage modern technologies such as cloud computing, big data analytics, and artificial intelligence. This typically involves migrating data from legacy systems to more agile, scalable, and efficient platforms, improving data quality, accessibility, and security. The goal of data modernization is to enable better decision-making, enhance operational efficiency, and support digital transformation initiatives.

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.

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Data Modernization jobs near you

Application Modernization Architect

Sparc Technology Services Inc

Houston, TX • Hybrid

$60/day

Full-time

Posted 20 days ago

Job description

Project: To support our CATO (Cloud Adoption & Transformation Operations) program.
Location: Houston, TX-Hybrid-3 days onsite
Skills
Detailed Write up of your experience
Minimum 15+ years in IT experience
Minimum 6 years in Application Architecture/Modernization
Must Have: Hands-on portfolio assessment & rationalization (6R: rehost, replatform, refactor, rearchitect, replace, retire).
Must Have: Deep experience modernizing legacy stacks (Java/.NET, Oracle/SQL Server, packaged apps; mainframe a plus).
Must Have: Azure-first designs using AKS/App Service/Azure Functions, API Management, Service Bus/Event Grid, Logic Apps, Key Vault.
Must Have: CI/CD & IaC (Azure DevOps or GitHub Actions; Terraform/Bicep), containerization (Docker/Kubernetes/Helm).
Must Have: Data modernization (Azure SQL MI, DMS, Cosmos DB; exposure to Synapse/Data Factory preferred).
Nice to Have: Tools: Azure Migrate, App Service Migration Assistant, DMS, CAST Highlight, AppDynamics.
Nice to Have: Security-by-design, API-first and event-driven patterns, domain-driven design.
Nice to Have: Certifications: Azure Solutions Architect Expert (AZ-305), Azure DevOps Engineer Expert, TOGAF