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Azure Data Analyst Jobs in California (NOW HIRING)

Goodwill

Data Analyst - IT

Santa Ana, CA · On-site

$93.60 - $127.46/hr

Experience working with Azure SQL or other Microsoft SQL Server environments. * Minimum two years relevant experience in Data Analyst or similar environment preferred. * The ability to design, build ...

Omega Solutions, Inc.

Azure Data Engineer

Santa Clara, CA · On-site

$134K - $161K/yr

Job Summary : Omega Solutions, Inc. is looking for an Azure Data Engineer to join their Data ... cause analysis of system and data issues and develop solutions as required. Qualifications

BlueRose Technologies

Azure Data Engineer

Fremont, CA · On-site

$125K - $150K/yr

***Candidate should be local to California*** 12-15 Years IT Experience and 10 plus in Data ... Event Hub, IOT Hub, Azure Stream Analytics, Azure Analysis Service, Cosmo DB knowledge. * SAP ECC ...

New

Syntricate Technologies

Azure Data Architect

Roseville, CA · On-site

$66.50 - $86.75/hr

Syntricate Technologies is seeking an Azure Data Architect to design and implement cloud solutions ... Syntricate Technologies offers quality assurance, validation, regulatory, business analysis, and ...

Living Spaces

Data Platform Engineer

La Mirada, CA · On-site

$115K - $138K/yr

Fabric Analytics Engineer Associate • Microsoft Certified: Azure Solutions Architect Expert • Microsoft Certified: Power BI Data Analyst Associate • Microsoft Certified: Azure AI Engineer ...

Sonsoft Inc

Azure

San Francisco, CA · On-site

$64.75 - $80.50/hr

Qualifications 1. 2 year of hands on experience in doing development on one or more of the following technology ecosystem a) Microsoft Cortana Analytics Suite - Azure Data Lake, Azure Datawarehouse ...

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Azure Data Analyst information

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$33.6K

$81.6K

$134.2K

How much do azure data analyst jobs pay per year?

As of Aug 29, 2026, the average yearly pay for azure data analyst in California is $81,558.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,700.00 and $95,700.00 per year, depending on experience, location, and employer.

What is an Azure Data Analyst?

An Azure Data Analyst is responsible for analyzing and interpreting data using Microsoft Azure's cloud-based services and tools. They work with Azure Synapse Analytics, Power BI, and Azure Data Factory to process, transform, and visualize data for business insights. Their role involves data modeling, reporting, and ensuring data accuracy to support decision-making. They often collaborate with data engineers and business stakeholders to optimize data solutions. This role requires expertise in SQL, data warehousing, and cloud-based analytics solutions.

What are the typical daily responsibilities of an Azure Data Analyst?

Azure Data Analysts typically spend their days gathering, cleaning, and analyzing data from various sources using Azure-based tools like Azure Data Factory, Azure Synapse Analytics, and Power BI. They collaborate closely with data engineers, business analysts, and other stakeholders to translate business requirements into actionable datasets and informative reports. Daily tasks may include designing data models, preparing dashboards, monitoring data quality, and automating data processes within the Azure environment. This role often requires balancing technical analysis with effective communication to ensure insights are meaningful and tailored to business needs.

What are the key skills and qualifications needed to thrive as an Azure Data Analyst?

To excel as an Azure Data Analyst, you should have a solid background in data analysis, database management, and proficiency in SQL, often supported by a degree in computer science or a related field. Familiarity with Microsoft Azure data services (such as Azure Synapse Analytics, Azure Data Lake, and Power BI), as well as certifications like Microsoft Certified: Azure Data Fundamentals, are highly valued. Strong problem-solving, attention to detail, and effective communication make candidates stand out in this role. These competencies are vital for transforming raw data into actionable insights and supporting business decision-making in cloud-driven environments.

How much do Azure Data Analysts make?

Azure Data Analysts typically earn a median annual salary ranging from $70,000 to $100,000, depending on experience, location, and certifications such as Microsoft Certified Data Analyst Associate. Entry-level positions may start lower, while experienced analysts with advanced skills and certifications can earn higher salaries.

What are the most commonly searched types of Azure Data Analyst jobs in California?

The most popular types of Azure Data Analyst jobs in California are:

What are popular job titles related to Azure Data Analyst jobs in California?

For Azure Data Analyst jobs in California, the most frequently searched job titles are:

What job categories do people searching Azure Data Analyst jobs in California look for?

The top searched job categories for Azure Data Analyst jobs in California are:

What cities in California are hiring for Azure Data Analyst jobs?

Cities in California with the most Azure Data Analyst job openings:

Azure Data Analyst jobs near you
Infographic showing various Azure Data Analyst job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 60% In-person, and 40% Hybrid job distribution, with an average salary of $81,558 per year, or $39.2 per hour.

Azure Data Architect

Santa Clara, CA • On-site

Omega Solutions, Inc.
See more jobs at Omega Solutions, Inc.external

$74.75 - $96.25/hr

Full-time

Re-posted 12 days ago

Job description

Job Summary:
Omega Solutions, Inc. is seeking an Azure Data Architect to own the technical architecture of Azure Data Services. The role involves designing scalable data processing and analytics solutions while interfacing with delivery teams and ensuring successful project execution.
Responsibilities:
• Interface with delivery team to design Azure data services solutions in support of the overarching analytics services solution, including SQL Database, SQL Data Warehouse, HD Insight, AZURE EVENT HUB, AZURE DATA FACTORY, AZURE DATA LAKE, Stream Analytics, and Notification Hubs
• Architect scalable data processing and analytics solutions, including technical feasibility for Big Data storage, processing and consumption e.g., development of enterprise Data Lake strategy, heterogeneous data management, Polyglot Persistence, decision support over Data Lake
• Report on progress of PROGRAM objectives; Ensure plan execution, Document and share technical best practices / insights with Engineering team
Qualifications:
Required:
• 5+ years of experience with deep understanding in both traditional and modern data architecture and processing concepts, including relational databases (e.g., SQL Server, MySQL, Oracle), Data warehousing, big data (Hadoop, Spark, Storm), noSQL, and business analytics
• 5+ years of success in consultative/complex technical deployment projects (where necessary, managing various stakeholder relationships to get consensus on solutions)
• Understanding of big data use-cases and Hadoop-based design patterns Knowledge of real time/stream analytics trends
• 5+ years of architecture, design, implementation, and/or support of complex application architectures (i.e. having an architectural sense for connecting data sources, data visualization, structured and unstructured data, etc.)
• Demonstrable hands on experience implementing Big Data solutions using Microsoft Data Platform and Azure Data Services
• Create a data factory, orchestrate data processing activities in a data-driven workflow, monitor and manage the data factory, move, transform and analyze data
• Deep technical experience in one or more of the following areas: Software design or development, Application Design, Systems Operations / Management, Database architecture, Virtualization, IT Security
• Working knowledge with AGILE development, SCRUM and Application Lifecycle Management
• Proficient with Azure cloud computing
• Azure SQL DB/DW, HD Insight, Azure Data Lake Storage, Azure Data Lake Analytics, Stream Analytics, Azure Data Factory, and CosmosDB.
• Experience of hybrid and/or cloud architectures that utilize Azure
• Experience in or exposure to solutions that are analytical in nature, employing data centric architectures
• Data technology literate with a detailed understanding of data architecture and data tools and technologies, in particular in memory/in database and open source technology.
• Familiarity and experience with Java/Node based Microservices
• Knowledge and/or experience in one of the below listed bullets: C#, R, Python, SQL, PL/SQL, MDX, JSON, XML, .NET, C++, T-SQL, Java, JSON, PHP, Hadoop, Spark, Storm, Pig/Hive, NoSQL, MongoDB, PL/SQL Developer, SQL Query Analyzer, PowerBI, Visual Studio, TFS, Voltage Decryption
Preferred:
• Microsoft Azure Designing and Implementing Cloud Data Platform Solutions (70-473)
Company:
Omega was incorporated in 2007 in the State of California to offer high end IT Solutions ranging from IT Software and product development to technology deployment and specialize in providing software solutions to diverse business sectors in USA and World-wide. Founded in 2007, the company is headquartered in Santa Clara, USA, with a team of 11-50 employees. The company is currently Early Stage.

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