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Data Modernization Jobs in California (NOW HIRING)

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 ...

Lead Data Engineer

Irvine, CA · On-site

$110K - $144K/yr

Data Platform Migration & Modernization * Lead migration of legacy data platforms, data warehouses, and ETL ecosystems to Databricks Lakehouse. * Transform existing ETL workloads to modern ELT ...

Lead Data Engineer - MSS

Irvine, CA · On-site

$110K - $144K/yr

Data Platform Migration & Modernization • Lead migration of legacy data platforms, data warehouses, and ETL ecosystems to Databricks Lakehouse. • Transform existing ETL workloads to modern ELT ...

Data Engineer (AVANADE)

Pleasanton, CA · On-site

$50 - $58.82/hr

The ideal candidate will have strong experience in Databricks, PySpark, Python, Spark SQL, and Informatica and a proven ability to lead complex data platform modernization and migration initiatives ...

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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 job categories do people searching Data Modernization jobs in California look for?

The top searched job categories for Data Modernization jobs in California are:

What cities in California are hiring for Data Modernization jobs?

Cities in California with the most Data Modernization job openings:

Infographic showing various Data Modernization job openings in California as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Data Modernization initiative Test Lead

Irvine, CA • On-site

Staffingine LLC
Recruiting and Staffing Services • 51 - 200 employees

$51 - $69.50/hr

Contractor

Re-posted 19 days ago


Job description

Job Title: Data Modernization initiative Test Lead
Job Location: Irvine - California 
Job Type: Contract

Job Description:

  • Lead the testing team in planning, execution, and reporting of all testing activities.
  • Develop and implement comprehensive test strategies, test plans, and test cases.
  • Ensure test coverage, track defects, and work closely with developers to resolve issues.
  • Perform functional, integration, system, and regression testing.
  • Conduct risk assessments and ensure that testing processes meet quality standards.
  • Must have experience working on large volume Data Migration project
  • Experience working on modernization initiative using Cloud technology(AWS, Azure, GCP) will be plus
  • Collaborate with stakeholders to gather and document business requirements.
  • Analyze business needs and translate them into technical specifications.
  • Work with cross-functional teams to ensure alignment between business requirements and technical solutions.
  • Identify and propose improvements to business processes.
  • Prepare detailed reports and presentations to communicate findings and recommendations.
Mandatory Skills: Dimensional Data Modeling, Informatica PowerCenter, Informatica Power Exchange, Data Test Lead with ETL/DW/Migration Test Experience in Cloud. (AWS preferred)