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Entry Level Data Architect Jobs in California (NOW HIRING)

... data architecture development and database management skills to optimize data solutions ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

... data architecture development and database management skills to optimize data solutions ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

... data architecture development and database management skills to optimize data solutions ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

... data architecture development and database management skills to optimize data solutions ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

... data architecture development and database management skills to optimize data solutions ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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Entry Level Data Architect information

See California salary details

$10

$69

$92

How much do entry level data architect jobs pay per hour?

As of Jul 28, 2026, the average hourly pay for entry level data architect in California is $69.06, according to ZipRecruiter salary data. Most workers in this role earn between $60.48 and $77.84 per hour, depending on experience, location, and employer.

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

To thrive as an Entry Level Data Architect, you need foundational knowledge in database design, data modeling, and SQL, often supported by a degree in computer science, information systems, or a related field. Familiarity with database platforms like SQL Server, Oracle, or MySQL, and experience with data integration tools or introductory certifications (such as Microsoft Certified: Azure Data Fundamentals) are typically valuable. Strong analytical thinking, effective communication, and a willingness to collaborate make candidates stand out in this role. These skills and qualities are crucial for translating business requirements into sound data structures and working efficiently within project teams.

How do I become a data architect?

To become a data architect, you typically need a bachelor's degree in computer science, information systems, or a related field, along with experience in database management, data modeling, and data warehousing. Developing skills in SQL, cloud platforms, and data governance, as well as obtaining certifications like Certified Data Management Professional (CDMP), can enhance your qualifications. Gaining hands-on experience through internships or entry-level roles is also important for building expertise in designing and managing data systems.

What is an Entry Level Data Architect job?

An Entry Level Data Architect is responsible for assisting in the design, development, and management of an organization's data infrastructure. They work with senior data architects and engineers to create efficient database structures, ensure data quality, and support data integration processes. This role involves using database technologies, data modeling techniques, and programming languages to optimize data storage and retrieval. Entry-level data architects often collaborate with IT teams to maintain data security and governance. It is a foundational role that provides experience in database design, big data technologies, and cloud-based data solutions.

What are the typical daily responsibilities of an Entry Level Data Architect?

As an Entry Level Data Architect, you can expect to spend your days assisting in the design and implementation of database solutions, creating and maintaining data models, and supporting data integration efforts. You'll often work closely with senior architects, software engineers, and business analysts to understand project requirements and ensure data structures align with organizational needs. Daily tasks may include writing SQL queries, documenting data flows, and helping troubleshoot data quality or integrity issues. This collaborative and technical environment provides valuable hands-on experience and forms a strong foundation for advancing to more senior data architecture roles.

Can AI replace data architect?

AI cannot fully replace a data architect, as the role requires designing complex data systems, understanding business needs, and making strategic decisions that involve human judgment. While AI tools can assist with data modeling, automation, and data management tasks, the expertise and oversight of a data architect are essential for effective data infrastructure development and governance.

Are there entry-level jobs at data centers?

Entry-level data architect roles at data centers are uncommon, as data centers typically hire for technical support, maintenance, or operations positions. However, related entry-level roles such as data technician or support analyst may be available, often requiring basic knowledge of networking, hardware, and data management tools.

Are data architects in demand?

Data architects are in high demand due to the increasing need for organizations to manage large volumes of data effectively. They design and implement data systems, often requiring skills in database management, cloud platforms, and data modeling, making their expertise valuable across many industries.
What are the most commonly searched types of Data Architect jobs in California? The most popular types of Data Architect jobs in California are:
What cities in California are hiring for Entry Level Data Architect jobs? Cities in California with the most Entry Level Data Architect job openings:
Infographic showing various Entry Level Data Architect job openings in California as of July 2026, with employment types broken down into 90% Full Time, 6% Part Time, and 4% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $143,650 per year, or $69.1 per hour.
Data Engineer (SQL) - Costa Rica

Data Engineer (SQL) - Costa Rica

ActiveProspect, Inc.

San Jose, CA

$134K - $161K/yr

Full-time

Posted 22 days ago


Job description

Data Engineer

Company Overview

ActiveProspect is on a mission to make consent-based marketing the best channel for online customer acquisition. We provide marketers the products they need to acquire qualified customers at scale. Our platform is trusted by thousands of companies engaged in direct-to-consumer marketing, helping them save wasted spend, comply with ever-changing regulations, and manage a constantly evolving partner landscape. Our flagship product, TrustedForm, is used to certify over 1 billion opt-in digital customer leads every year and is the gold standard for documenting prior express written consent for TCPA compliance.

Job Summary

The Data Engineer is an individual-contributor role that designs, builds, and maintains scalable data pipelines and analytical data models. The role works hands-on with our modern data stack — SQL, Snowflake, dbt, Fivetran, Kafka, and Python — to build reliable, efficient data solutions. This is an entry-level role that grows toward full ownership of the data engineering workload over time.

Responsibilities:

Build, transform, and process datasets to keep data accurate, reliable, and available for analytics and business decisions. Maintain high-quality data infrastructure supporting reporting, analytics, and operational insights, including pipeline ingestion (Fivetran, Kafka), transformation and modeling (dbt, Snowflake), and Level 1 support for pipeline failures, monitoring, and data quality.

Qualifications and Skills

  • Strong SQL skills
  • Python for data pipelines and automation
  • Snowflake
  • dbt
  • Fivetran
  • Kafka
  • Data modeling
  • ETL/ELT pipeline development
  • Data quality and governance
  • Monitoring and performance optimization

Reports to:

  • Data Architect

Organizational Impact

This role adds capacity to the data engineering function and reduces key-person risk by developing an engineer who can independently own the data engineering workload — ingestion, streaming, transformation, and data quality. As that ownership grows, it frees senior capacity to focus on higher-leverage architecture and modeling work.

Reliable, well-governed data is the foundation for ActiveProspect\'s reporting and decision-making. By keeping pipelines healthy and data trustworthy in Snowflake, this role directly supports the analytics and business teams that depend on accurate, timely data. Success looks like dependable data delivery, strong data quality, and faster resolution of issues through proactive monitoring and Level 1 support.