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Data Modernization Jobs in California (NOW HIRING)

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 ...

Deloitte

Databricks Data Engineer

Costa Mesa, CA · On-site

$122K - $147K/yr

Support the modernization of enterprise data platforms by implementing cloud-based ingestion, transformation, and storage patterns * Develop and maintain batch and streaming data workflows that ...

Deloitte

Databricks Data Engineer

Sacramento, CA · On-site

$122K - $146K/yr

Support the modernization of enterprise data platforms by implementing cloud-based ingestion, transformation, and storage patterns * Develop and maintain batch and streaming data workflows that ...

Deloitte

Databricks Data Engineer

San Francisco, CA

$134K - $162K/yr

Support the modernization of enterprise data platforms by implementing cloud-based ingestion, transformation, and storage patterns * Develop and maintain batch and streaming data workflows that ...

Deloitte

Databricks Data Engineer

Los Angeles, CA · On-site

$123K - $148K/yr

Support the modernization of enterprise data platforms by implementing cloud-based ingestion, transformation, and storage patterns * Develop and maintain batch and streaming data workflows that ...

Deloitte

Databricks Data Engineer

San Diego, CA

$121K - $146K/yr

Support the modernization of enterprise data platforms by implementing cloud-based ingestion, transformation, and storage patterns * Develop and maintain batch and streaming data workflows that ...

Deloitte

Databricks Data Engineer

San Jose, CA

$134K - $161K/yr

Support the modernization of enterprise data platforms by implementing cloud-based ingestion, transformation, and storage patterns * Develop and maintain batch and streaming data workflows that ...

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All JobsData Modernization JobsData Modernization Jobs in California

Data Modernization information

What jobs in the US pay 300,000 a year?

In the field of data modernization, senior roles such as Data Science Directors, Chief Data Officers, and Data Engineering Managers can earn $300,000 or more annually, especially with extensive experience, advanced skills in cloud platforms, and leadership responsibilities. These positions often require a strong background in data architecture, analytics, and strategic planning, and may include bonuses or stock options that contribute to total compensation.

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 strategic planning, along with strong industry reputation and sometimes equity compensation.

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 practices 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 roles such as data engineers, data architects, and database administrators are likely to persist as they require specialized knowledge of data systems, architecture, and security that AI cannot fully replicate. These jobs involve designing, managing, and securing complex data environments, often requiring certifications and hands-on expertise. Skills in data governance, cloud platforms, and programming remain essential for these positions.
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
Data Architect - Data Modernization, Snowflake

Data Architect - Data Modernization, Snowflake

Computer Task Group, Inc

San Jose, CA • On-site

$120K - $130K/yr

Full-time

Posted 23 days ago

Job description

Overview

CTG is seeking an experienced Data Architect – Data Modernization, Snowflake to lead enterprise-scale data transformation and modernization initiatives for our client. This role will focus on architecting and delivering scalable cloud-based migration solutions leveraging Snowflake, Databricks, AWS, and modern ETL technologies.

Location: San Jose, CA
Duration: 9 months

Key Responsibilities:
  • Lead data modernization and cloud transformation initiatives across enterprise environments.
  • Design and implement scalable ETL and data migration solutions.
  • Architect data pipelines and modernization strategies involving:
    • Oracle to PostgreSQL
    • Oracle to SQL Server
    • Relational to NoSQL migrations
    • Data Warehouse to Data Lake transformations
  • Develop enterprise data models and architecture standards.
  • Collaborate with technical teams, DBAs, developers, and business stakeholders.
  • Create proof-of-concepts and technical solution prototypes.
  • Support cloud-native architectures using Snowflake, Databricks, and AWS technologies.
  • Optimize SQL queries, ETL workflows, and large-scale data processing solutions.
Required Skills:
  • Data Architecture
  • Data Modeling
  • Project Management
  • Strong SQL expertise
  • Snowflake and Databricks hands-on experience
  • AWS cloud understanding
  • Enterprise ETL and data transformation experience
Preferred Technical Experience:
  • Oracle, PostgreSQL, SQL Server, Amazon RDS
  • IBM InfoSphere DataStage
  • Informatica PowerCenter
  • Microsoft SSIS
  • Oracle Data Integrator
  • XML, JSON, NoSQL, Python
Qualifications:
  • 8+ years of experience in data architecture and modernization initiatives
  • Proven experience leading enterprise data migration projects
  • Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field, or equivalent experience

Excellent verbal and written English communication skills and the ability to interact professionally with a diverse group are required.

CTG does not accept unsolicited resumes from headhunters, recruitment agencies, or fee based recruitment services for this role.

To Apply:
To be considered, please apply directly to this requisition using the link provided. Kindly forward this to any other interested parties. Thank you!

The expected base salary for this position ranges from $120,000 to $130,000. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, market factors, and where applicable, licensure or certifications obtained. In addition to salary, a competitive benefit package is also offered.

Computer Task Group logo

About Computer Task Group

Sourced by ZipRecruiter

We know that achieving our mission begins and ends with our people—and by people we mean you. Regardless of individual roles or responsibilities, regardless of industry or subject matter expertise, our lives happen in relation to other people—our colleagues, clients, and partners. CTG cultivates a workplace that attracts and develops the best people. Being Great Place to Work-CertifiedTM not only supports our Vision but also validates the rewarding workplace culture that has made CTG a leading IT and digital solutions and services company for more than 55 years.

Company size

1,001 - 5,000 Employees

Headquarters location

Buffalo, NY, US

Year founded

1966

Social media

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