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Data Modernization Jobs in California (NOW HIRING)

Striim, Inc.

Principal UX Designer

Palo Alto, CA · On-site

$225K - $250K/yr

Experience designing products within the data modernization, data infrastructure, or enterprise platform domain is highly preferred, along with a strong understanding of AI-powered and agentic user ...

SGS Consulting

AWS Cloud Data Engineer

San Francisco, CA · On-site

$65.75 - $87.75/hr

This role will lead the development of scalable data pipelines, cloud infrastructure, and AI-enabled engineering practices while mentoring technical teams and supporting enterprise data modernization ...

Striim, Inc.

Principal UX Designer

Palo Alto, CA · On-site

$225K - $250K/yr

Experience designing products within the data modernization, data infrastructure, or enterprise platform domain is highly preferred, along with a strong understanding of AI-powered and agentic user ...

UCLA Health

Senior Data Engineer

Los Angeles, CA · On-site

$109K - $243K/yr

You'll work at the forefront of cloud and data modernization initiatives, building robust data pipelines, reusable engineering frameworks, curated data products, and foundational platform ...

Software Technology, Inc.

Senior Program Manager

Irvine, CA · On-site

$124K - $125K/yr

This role demands deep expertise in Master Data Management (MDM), ETL modernization, and cloud-native architectures on AWS with a strong emphasis on program governance, stakeholder alignment, and ...

New

Teamwass

Project Manager, Data Strategy

Los Angeles, CA · On-site

$55.75 - $75.50/hr

The Data Strategy group is responsible for the data modernization of all data capabilities across the THETEAM's portfolio. We lead THETEAM's efforts in building a solid data foundation and optimizing ...

Wasserman Media

Project Manager, Data Strategy

Los Angeles, CA · On-site

$55.75 - $75.50/hr

The Data Strategy group is responsible for the data modernization of all data capabilities across the THE • TEAM's portfolio. We lead THE • TEAM's efforts in building a solid data foundation and ...

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Showing results 21-40

All JobsData Modernization JobsData Modernization Jobs in California

Data Modernization information

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 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?

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 popular job titles related to Data Modernization jobs in California?

For Data Modernization jobs in California, the most frequently searched job titles are:

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:

Data Modernization jobs near you
Infographic showing various Data Modernization job openings in California as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 2% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Core Processor Application Dev - Enterprise Data & Analytics Data Architect

Mission Federal Credit Union

San Diego, CA • On-site

$120K - $140K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 26 days ago

Job description

At Mission Fed Credit Union, we're more than a financial institution-we're a purpose-driven organization committed to helping our members, employees, and communities thrive. For more than 60 years, Mission Fed has proudly served San Diego with a people-first approach, award-winning culture, and a commitment to innovation that empowers financial well-being.
We're looking for an experienced Enterprise Data & Analytics Architect to help shape the future of enterprise data, business intelligence, and cloud analytics. In this highly visible leadership role, you'll define the technical vision for our Enterprise Data & Analytics ecosystem while driving modernization, scalability, and performance across our data platforms.
If you're passionate about data architecture, cloud transformation, and turning information into meaningful business insights, this is an opportunity to make a lasting impact.
What You'll Do
  • Lead the architecture, design, and optimization of enterprise data platforms across on-premises and Azure cloud environments.
  • Drive data modernization initiatives, including migration of legacy systems to Azure Data Factory, Databricks, Synapse Analytics, and Apache Spark.
  • Design scalable data models, ETL/ELT pipelines, data warehouses, and reporting solutions that support enterprise decision-making.
  • Provide technical leadership and mentorship to data engineers, developers, and BI professionals.
  • Partner with business leaders to translate complex requirements into innovative data solutions.
  • Establish best practices for data governance, performance optimization, source control, code reviews, and deployment processes.
  • Develop enterprise reporting and analytics solutions utilizing SQL Server, Power BI, SSRS, and Azure technologies.
  • Monitor and support production environments to ensure data reliability, availability, and performance.
  • Stay current with emerging trends in cloud computing, artificial intelligence, data engineering, and analytics.

What We're Looking For
Education
  • Bachelor's degree in Computer Science, Information Technology, Data Analytics, or a related field (or equivalent combination of education and experience).

Experience
  • 8-10 years of experience designing and supporting enterprise OLTP and OLAP database environments.
  • 8+ years of ETL development using SSIS and/or Azure Data Factory.
  • 8+ years of enterprise reporting and business intelligence experience using Power BI and SSRS.
  • Advanced expertise with Microsoft SQL Server (2016+) and Azure data services.
  • Experience working within Agile and Scrum environments.
  • Preferred experience with Python, PowerShell, C#, .NET, Databricks, and modern data engineering frameworks.

Why Mission Fed?
  • Competitive compensation and comprehensive benefits package
  • 18 days of PTO in your first year plus 12 paid holidays
  • 6% 401(k) match
  • Medical, dental, vision, life, and disability coverage
  • Collaborative, mission-driven culture recognized as one of San Diego's best places to work
  • Opportunities to innovate, grow, and make a meaningful impact on the financial lives of our members and community

Join Mission Fed and help build the next generation of enterprise data and analytics solutions that power smarter decisions and stronger member experiences.
Base Pay/Salary: *$120,000 - $140,000 per year
*Actual base pay within this range will be determined by several components, including but not limited to, relevant experience, internal equity, skills, qualifications, and other job-related factors permitted by law.
#LI-Hybrid
#INDMF
Your privacy is very important to Mission Federal Credit Union. The California Consumer Privacy Act ("CCPA")/ California Privacy Rights Act (CPRA) requires Mission Federal Credit Union to inform California residents, including job applicants, of the categories of personal information we collect and the purpose for which the personal information will be used. This job applicant notice and the CCPA/CPRA notice provides the disclosures required by the CCPA/CPRA and applies only to applicants who are subject to the CCPA/CPRA.
Mission Federal Credit Union is an Equal Opportunity Employer. All applicants will receive consideration without regard to race, sex, color, creed, religion, age, marital status, sexual orientation, national origin, physical or mental disability, veteran status, or any other class protected by law.

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