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Data Modernization Jobs in California (NOW HIRING)

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 ...

Deloitte

Sr Databricks Data Engineer

Sacramento, CA · On-site

$122K - $146K/yr

Practitioners collaborate across business and technology functions to solve complex challenges in data modernization, governance, platform engineering, and insight delivery. Qualifications Required:

Deloitte

Sr Databricks Data Engineer

Costa Mesa, CA · On-site

$122K - $147K/yr

Practitioners collaborate across business and technology functions to solve complex challenges in data modernization, governance, platform engineering, and insight delivery. Qualifications Required:

Deloitte

Sr Databricks Data Engineer

San Francisco, CA

$134K - $162K/yr

Practitioners collaborate across business and technology functions to solve complex challenges in data modernization, governance, platform engineering, and insight delivery. Qualifications Required:

Deloitte

Sr Databricks Data Engineer

Los Angeles, CA

$123K - $148K/yr

Practitioners collaborate across business and technology functions to solve complex challenges in data modernization, governance, platform engineering, and insight delivery. Qualifications Required:

Deloitte

Sr Databricks Data Engineer

San Jose, CA · On-site

$134K - $161K/yr

Practitioners collaborate across business and technology functions to solve complex challenges in data modernization, governance, platform engineering, and insight delivery. Qualifications Required:

Deloitte

Sr Databricks Data Engineer

San Diego, CA · On-site

$121K - $146K/yr

Practitioners collaborate across business and technology functions to solve complex challenges in data modernization, governance, platform engineering, and insight delivery. Qualifications Required:

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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 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, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

US- Enterprise Sales Director

AuxoAI Inc

San Francisco, CA • On-site

Full-time

Re-posted 13 days ago

Job description


We're looking for high-energy enterprise sales leaders who can grow strategic Fortune500 accounts while developing new Global 2000 relationships. This is not traditional IT services selling. You'll work alongside hyperscalers, AI platform partners, and our executive leadership to help enterprises operationalize AI through data modernization, AI-native business transformation, and agentic workflow solutions.
Responsibilities
  • Own and grow a regional territory
  • Expand 3-4 strategic enterprise accounts
  • Develop new Global 2000 customers
  • Build executive relationships across CIO, CDO, CDAO and business leadership
  • Lead AI transformation conversations
  • Drive joint GTM with AWS, Google Cloud, Snowflake and ecosystem partners
  • Lead complex consulting and AI solution pursuits
  • Partner closely with Solution Architects, FDEs and Delivery teams
  • Own pipeline generation and revenue growth
  • Annual bookings and revenue attainment
  • Pipeline generation
  • New logo acquisition
  • Existing account expansion
  • Executive engagement
  • Partner-generated pipeline

Requirements
  • 8-12 years of enterprise technology sales
  • Background in AI, Cloud, Data, or Digital Transformation
  • Experience selling $2M-10M+ consulting and transformation engagements
  • Strong executive relationships within target accounts
  • Experience working with hyperscaler field organizations
  • Executive presence and consultative selling skills

Apply