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Data Solutions Jobs in California (NOW HIRING)

Grocery Outlet

Data Solutions Architect

Emeryville, CA · On-site

$140K - $155K/yr

The Data Solution Architect will help define strategy both within and outside of SAP, drive design and technical implementation, and architect innovative solutions in close collaboration with the ...

Abaka AI

Data Solutions Engineer

Mountain View, CA · On-site

$136K - $163K/yr

The Data Solutions Engineer role involves bridging technical execution and customer needs across AI data projects, working closely with various teams to design scalable data workflows and support ...

Abaka AI

Data Solutions Engineer

Mountain View, CA · On-site

$136K - $163K/yr

The Data Solutions Engineer will bridge technical execution and customer needs across AI data projects, working closely with clients and various teams to design scalable data workflows and support ...

Wiliot

Data Solutions Analyst

San Mateo, CA · On-site

About the Role We are looking for a Data Solutions Team Lead to join our delivery teams and work closely with customers on real-world IoT deployments. In this role, you will be responsible for ...

Wiliot

Data Solutions Analyst

Plano, TX · On-site

About the Role We are looking for a Data Solutions Team Lead to join our delivery teams and work closely with customers on real-world IoT deployments. In this role, you will be responsible for ...

Abaka AI

Data Solutions Engineer

Mountain View, CA · On-site

$136K - $163K/yr

The Data Solutions Engineer will bridge technical execution and customer needs, working closely with clients and teams to design scalable data workflows and support AI data projects. Responsibilities ...

Capital Group

Finance Data Solutions Lead

Irvine, CA · On-site

Data Solutions Delivery (Data Products & Reporting) * Lead cross-functional pods to design, build, and maintain scalable Global Finance data products and standardized reporting solutions. * Translate ...

Capgroup

Finance Data Solutions Lead

Irvine, CA

Data Solutions Delivery (Data Products & Reporting) * Lead cross-functional pods to design, build, and maintain scalable Global Finance data products and standardized reporting solutions. * Translate ...

Westcore

AI & Data Solutions Architect

San Diego, CA · On-site

$67.75 - $87/hr

They are seeking an AI & Data Solutions Architect to build and own a next-generation data and AI platform that enhances the organization's ability to access and analyze commercial real estate data.

Adobe

AEP Lead Data Solutions Engineer

San Jose, CA · On-site

$134K - $161K/yr

They are seeking an AEP Lead Data Solutions Engineer to collaborate within the Adobe Experience Platform suite, focusing on building scalable data solutions and ensuring data accuracy for impactful ...

Adobe

AEP Lead Data Solutions Engineer

San Jose, CA · On-site

$134K - $161K/yr

Serve as lead data solutions engineer and architect new data solutions on the AEP platform, including core datasets leveraged by hundreds of users * Build, develop, and maintain scalable data ...

Adobe, Inc.

AEP Lead Data Solutions Engineer

San Jose, CA · On-site

$134K - $161K/yr

Serve as lead data solutions engineer and architect new data solutions on the AEP platform, including core datasets leveraged by hundreds of users * Build, develop, and maintain scalable data ...

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All JobsData Solutions JobsData Solutions Jobs in California

Data Solutions information

See California salary details

$45.4K

$162.9K

$240.3K

How much do data solutions jobs pay per year?

As of Jul 31, 2026, the average yearly pay for data solutions in California is $162,857.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,800.00 and $167,800.00 per year, depending on experience, location, and employer.

What is a Data Solutions job?

A Data Solutions job involves designing, developing, and implementing data-driven solutions to help organizations manage, analyze, and utilize their data effectively. Professionals in this role work with data storage, processing, and analytics tools to improve business decision-making. They may collaborate with data engineers, analysts, and business stakeholders to ensure data is accessible, reliable, and secure. Responsibilities often include cloud data management, database optimization, and system integrations.

What are the key skills and qualifications needed to thrive in the Data Solutions position, and why are they important?

To thrive in Data Solutions, you need strong analytical abilities, a solid grasp of data management, and experience with data integration, transformation, and visualization—often supported by a degree in computer science, data science, or a related field. Familiarity with tools such as SQL, ETL platforms, business intelligence tools (like Tableau or Power BI), and cloud databases is highly valuable, as are certifications in data analytics or cloud technologies. Excellent problem-solving skills, project management, and clear communication are key soft skills that help you interpret requirements and translate them into actionable solutions. These skills and qualities are vital for ensuring organizations can effectively leverage data to make informed decisions and maintain a competitive edge.

What is a data solutions job description?

A data solutions job involves designing, developing, and implementing data management and analytics systems to help organizations make data-driven decisions. It typically requires skills in data modeling, database management, and familiarity with tools like SQL, Python, or data visualization software. The role may also involve collaborating with teams to optimize data workflows and ensure data quality.

What is the highest paying data job?

The highest paying data job is typically a Chief Data Officer or Data Executive, earning six-figure salaries or higher, especially in large organizations. Senior roles such as Data Architects or Data Science Directors also command high compensation, often supplemented by bonuses and stock options, depending on experience and industry.

What professions make 500,000 a year?

In the field of data solutions, senior roles such as Chief Data Officer, Data Science Director, or Data Engineering Manager can earn $500,000 or more annually, especially in large organizations or tech companies. These positions typically require extensive experience, advanced skills in data analysis, machine learning, and leadership, along with strong business acumen and often a master's or Ph.D. degree.

Is 40 too late for data science?

Data solutions roles in data science do not have strict age limits, and many professionals start or transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, along with practical experience. Age should not be a barrier if you build a strong portfolio and stay current with industry developments.

What are the main career growth opportunities for professionals in Data Solutions roles?

Careers in Data Solutions offer a wide range of advancement opportunities, as professionals can move into specialized positions such as data architect, data engineer, or solutions architect, or transition into leadership as project managers or heads of data strategy. With the rapid expansion of data-driven initiatives across industries, the demand for experienced professionals often leads to roles in consulting, team leadership, or enterprise-level data strategy. Continuous skill development in emerging technologies like cloud computing and machine learning can further accelerate career progression. Many organizations also offer formal training and mentorship to help Data Solutions professionals achieve their career goals.

What are the most commonly searched types of Data Solutions jobs in California? The most popular types of Data Solutions jobs in California are:
What are popular job titles related to Data Solutions jobs in California? For Data Solutions jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Solutions jobs in California look for? The top searched job categories for Data Solutions jobs in California are:
What cities in California are hiring for Data Solutions jobs? Cities in California with the most Data Solutions job openings:
Data Solutions jobs near you
Infographic showing various Data Solutions job openings in California as of July 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $162,857 per year, or $78.3 per hour.

DATA SOLUTIONS ARCHITECT

Tata Consultancy Service Limited

Santa Clara, CA • On-site

$80K - $130K/yr

Full-time

Re-posted 14 days ago

Job description

We are seeking a highly experienced Data Solutions Architect to design and deliver next-generation cloud-based data platforms with a strong focus on data warehousing, lakehouse architectures, and multi-tenant enablement.
This role will drive architecture strategy and execution for scalable, secure, and high-performance data solutions, enabling advanced analytics, AI/ML, and cross-organization collaboration.
The ideal candidate will bring hands-on experience in cloud data platforms, enterprise data architecture, and multi-tenant system design, along with the ability to translate business requirements into robust technical solutions
Must Have Technical/Functional Skills:
1. Architecture & Design
- Define and implement end-to-end data platform architecture across ingestion, storage, transformation, and consumption layers
- Design scalable cloud-native data solutions using modern architectures such as Lakehouse and Data Mesh
- Establish reference architectures and reusable design patterns
2. Multi-Tenant Platform Implementation
- Architect multi-tenant data environments with strong data isolation and segregation
- Implement policy-based access control and encryption strategies
- Enable customer onboarding models, tenant provisioning, and lifecycle management
- Ensure compliance with security, audit, and regulatory requirements
3. Cloud Data Platform & Data Warehouse
- Lead design and implementation of data warehouse and lakehouse platforms
- Architect real-time and batch data pipelines with high throughput and low latency
- Optimize data models, query performance, and data workflows
4. Data Governance, Security & Compliance
- Define data governance frameworks including data cataloging, classification, and lineage
- Implement secure access control models and identity integration
- Ensure adherence to enterprise security and compliance standards
Key Responsibilities:
5. Integration & Ecosystem Enablement
- Design scalable integration for APIs, streaming platforms, and enterprise systems
- Enable seamless data sharing and collaboration across teams and external partners
6. Performance, Scalability & Reliability
- Define strategies for high-volume data ingestion and low-latency processing
- Optimize cost, performance, and scalability of data platforms
7. Stakeholder Leadership & Delivery
- Collaborate with business, engineering, security, and infrastructure teams
- Translate requirements into architecture roadmaps and implementation plans
- Mentor engineering teams and drive best practices
8. Innovation & Advanced Analytics
- Drive adoption of AI/ML and GenAI solutions in data platforms
- Enable intelligent automation and advanced analytics capabilities
Salary Range: $80,000 - $130000 a year
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