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Big Data Manager Jobs in Riverside, CA (NOW HIRING)

Jobsbridge

Sr. Hadoop/BigData Consultant

Santa Ana, CA · On-site

Minimum 10 years in the IT profession Minimum 3 years of hands on experience with Data Management using Big Data Technologies Minimum 5 years of experience creating DM / DW architectures Experience ...

Jobsbridge

Hadoop/BigData Consultant

Santa Ana, CA

Minimum 8 years in the IT profession Minimum 3 years of hands on experience with Data Management using Big Data Technologies Minimum 5 years of experience creating DM / DW architectures Experience ...

Collabera

Clinical Data Manager

Irvine, CA · On-site

Big-picture and detail-oriented view of data management processes, tools and procedures. Product Knowledge/Therapeutic Expertise Seek out adequate training on products and therapeutic areas in ...

IQVIA

Senior Data Team Lead (Remote)

Anaheim, CA · Remote

$86K - $217K/yr

Lead data management for complex, global clinical trials from study setup to database lock. * Serve as the main client contact for all data management deliverables. * Oversee SAE, PK, and external ...

Pwc

Data Strategy-Manager

Irvine, CA

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... big data engineering tools - Proficiency in SQL and data visualization tools - Experience in ...

Omega Solutions Inc.

Sr. Data Scientist

Santa Ana, CA · On-site

$100 - $150/hr

Field Team Modernization/Intelligent Decision Management - build and support of new predictive data ... Big Data, Cloud Computing, High Performance Computing (GPUs) * Experience: 5+ years related field ...

Jobsbridge

BigData Consultant

Santa Ana, CA

$55.25 - $71.50/hr

Be it core Java, full-stack Java, Web/UI designers, Big Data or Cloud or Mobility developers ... Ensure adherence to established problem / incident management, change management and other internal ...

Capital Group

Finance Data Solutions Lead

Irvine, CA · On-site

Product Management & Delivery * Own end-to-end delivery and lifecycle management of data products * Coordinate execution across teams and enterprise partners to ensure timely delivery. * Manage ...

omega solutions, Inc.

Sr. Data Scientist

Santa Ana, CA · On-site

... Decision Management - build and support of new predictive data models 2) Coding Transformation ... Big Data, Cloud Computing, High Performance Computing (GPUs) Experience: 5+ years related field

Capgroup

Finance Data Solutions Lead

Irvine, CA

Product Management & Delivery * Own end-to-end delivery and lifecycle management of data products * Coordinate execution across teams and enterprise partners to ensure timely delivery. * Manage ...

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All JobsBig Data JobsBig Data Manager JobsBig Data Manager Jobs in Riverside, CA

Big Data Manager information

See Riverside, CA salary details

$32.3K

$101.3K

$179.4K

How much do big data manager jobs pay per year?

As of Aug 14, 2026, the average yearly pay for big data manager in Riverside, CA is $101,348.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,900.00 and $130,900.00 per year, depending on experience, location, and employer.

What are some common challenges big data managers face when leading cross-functional teams?

Big Data Managers often navigate challenges such as aligning diverse technical expertise, ensuring clear communication across departments, and managing competing priorities between data science, engineering, and business stakeholders. They must balance the strategic vision with practical constraints like data privacy, scalability, and project deadlines. Successful managers foster collaboration by setting clear expectations, facilitating regular check-ins, and promoting a shared understanding of project goals.

What are the key skills and qualifications needed to thrive as a big data manager?

To thrive as a Big Data Manager, you need expertise in data architecture, analytics, database management, and a strong background in computer science or a related field. Familiarity with big data platforms like Hadoop, Spark, and tools such as SQL, NoSQL databases, and relevant certifications (e.g., AWS Big Data Specialty) is highly beneficial. Exceptional leadership, problem-solving, and communication skills help in managing teams and translating business goals into technical solutions. These skills are crucial for efficiently overseeing large-scale data projects and ensuring data-driven decision-making aligns with organizational objectives.

What is a big data manager?

A Big Data Manager is a professional responsible for overseeing the collection, storage, analysis, and use of large and complex data sets within an organization. They manage teams of data engineers, analysts, and scientists to ensure data is processed efficiently and securely. Big Data Managers also develop strategies to leverage data for business insights, make technology decisions, and ensure compliance with data governance policies. Their role bridges the gap between business objectives and technical solutions in the realm of big data.

What is the difference between Big Data Manager vs Data Analyst?

AspectBig Data ManagerData Analyst
Required CredentialsBachelor's/Master's in Computer Science, Data Science, or related fields; often certifications in big data toolsBachelor's in Statistics, Data Science, or related fields; certifications in data analysis tools
Work EnvironmentLeads teams, manages data infrastructure, oversees big data projectsAnalyzes data sets, creates reports, visualizations for insights
Employer & Industry UsageUsed in tech, finance, healthcare industries managing large-scale data systemsCommon across various industries for data-driven decision making

The Big Data Manager focuses on overseeing big data infrastructure, managing teams, and ensuring data systems operate efficiently. In contrast, Data Analysts primarily interpret data, generate reports, and provide insights. Both roles require strong technical skills, but their responsibilities and focus areas differ significantly.

What are popular job titles related to Big Data Manager jobs in Riverside, CA?

For Big Data Manager jobs in Riverside, CA, the most frequently searched job titles are:

What job categories do people searching Big Data Manager jobs in Riverside, CA look for?

The top searched job categories for Big Data Manager jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Big Data Manager jobs?

Cities near Riverside, CA with the most Big Data Manager job openings:

Big Data Manager jobs near you
Infographic showing various Big Data Manager job openings in Riverside, CA as of July 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 100% In-person job distribution, with an average salary of $101,348 per year, or $48.7 per hour.

Principal Data Engineer - (Hadoop/Big Data, AWS, Python, Kinesis) - Irvine, CA - Onsite - Contract t

Central Business Solutions

Irvine, CA • On-site

Contractor

Posted 9 days ago

Job description

Position: Senior Data Engineer - (Hadoop/Big Data, AWS, Python, Kinesis)
Location: Irvine, CA - Onsite role
Position Type: Contract to Hire
Responsibilities
You will be responsible for all aspects of data acquisition, data transformation, analytics scheduling and operationalization to drive high-visibility, cross-division outcomes. Investigate, evaluate, test and recommend technical solutions for future systems.
They will support software developers, database architects, data scientists on data initiatives and will contribute optimal data delivery architecture.
What you will be doing:
Data Operations
Lead the creation of data environments and/or data sets to serve a wide range of data users, including but not limited to Data Scientists, Data Analysts, Business Analysts etc.
Perform offline analysis of large data sets using components of a big data software ecosystem.
Validate the solution of root cause analysis escalated by various technical staff in multiple organizations and with differing levels of expertise.
Investigate, evaluate, test and recommend technical solutions for future systems.
Data Management
Own product data sets from the definition phase through to production deployment (end-to-end).
Provide solutions for the design and implementation of Hadoop EMR Cluster/ Big Data Infrastructure.
Deploy Hadoop/Big Data/Spark and database storage Infrastructures in AWS cloud.
Monitor HDFS/Hadoop/Spark and related software releases, third-party utilities with emphasis on overall system performance.
Lead and develop tools and procedures to monitor and automate system tasks on servers and clusters
Lead and collaborate with other teams to design, develop, and deploy data tools that support both operations and product use cases.
Data Design
Lead and design distributed, scalable, and reliable data pipelines that ingest and process data at scale and in real-time.
Lead and design big data technologies and prototype solutions to improve data processing architecture.
Qualifications
What we are looking for:
Bachelor's degree in computer science, computer engineering, or a related technical field.
12+ years of professional experience as a data software engineer; or 16+ years of related experience as a data software engineer in lieu of 4-year degree.
2+ years of experience with AWS cloud or other cloud Big Data computing design, provisioning, and tuning.
Related AWS certification, preferred.
Previous experience as a Data Engineer / Database Administrator and/or Business Intelligence Analyst.
Expertise in database concepts, object and data modeling techniques and design principles.
Expertise in database architectures, software, and facilities
Expertise with programming languages - Python (required), Scala, Ruby, R Database technologies - SQL, performance tuning concepts, AWS RDS, RedShift, MySQL
Expertise with big data batch processing tools: Hadoop MapReduce, ElasticSearch, PIG, Hive, Cascading/Scalding, Apache Spark, AWS EMR
Expertise with stream-processing systems: Kinesis, Kafka, MQTT
Expertise with relational NoSQL databases including DyanamoDB
Expertise in writing JSON, XML, YAML and other data definition schemas
Excellent verbal and written communication skills necessary to effectively collaborate in a team environment and present and explain technical information and provide advice to management.
Ability to work on advanced complex technical projects or business issues requiring state of the art technical knowledge or industry.
Ability to work on significant and unique issues where analysis of situations or data requires an evaluation of intangibles.
Exercises independent judgment in methods, techniques and evaluation criteria for obtaining results.
Ability to lead and mentor junior engineers and colleagues.

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