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Azure Data Jobs in California (NOW HIRING)

TEKsystems

Azure Data Engineer

San Diego, CA

$130K - $150K/yr

Position Overview We are seeking an experienced Azure Data Engineer to support the analysis, design, development, and ongoing support of a modern Azure-based data platform and data lake environment.

Accenture

Azure Data Architect

Walnut Creek, CA · On-site

$66.05 - $76.05/hr

Design and maintain enterprise data architectures across Azure cloud data platforms. * Translate business and analytical requirements into logical and physical data models. * Define and document end ...

Accenture

Azure Data Architect

Los Angeles, CA · On-site

$66.05 - $76.05/hr

Design and maintain enterprise data architectures across Azure cloud data platforms. * Translate business and analytical requirements into logical and physical data models. * Define and document end ...

Accenture

Azure Data Architect

Sacramento, CA · On-site

$66.05 - $76.05/hr

Design and maintain enterprise data architectures across Azure cloud data platforms. * Translate business and analytical requirements into logical and physical data models. * Define and document end ...

Accenture

Azure Data Architect

San Diego, CA · On-site

$66.05 - $76.05/hr

Design and maintain enterprise data architectures across Azure cloud data platforms. * Translate business and analytical requirements into logical and physical data models. * Define and document end ...

Accenture

Azure Data Architect

Mountain View, CA · On-site

$66.05 - $76.05/hr

Design and maintain enterprise data architectures across Azure cloud data platforms. * Translate business and analytical requirements into logical and physical data models. * Define and document end ...

Accenture

Azure Data Architect

San Francisco, CA · On-site

$66.05 - $76.05/hr

Design and maintain enterprise data architectures across Azure cloud data platforms. * Translate business and analytical requirements into logical and physical data models. * Define and document end ...

Sonsoft Inc

Azure

San Francisco, CA

$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 ...

Sonsoft Inc

Azure With ADL/ADW/ADF

San Francisco, CA · On-site

$64.75 - $80.50/hr

Microsoft Cortana Analytics Suite - Azure Data Lake, Azure Datawarehouse, Azure Data Factory, PowerBI, * Microsoft SQL Server Ecosystem - Multidimensional cubes, MDX, T-SQL * Hadoop Ecosystem - HDFS ...

NextPhase.ai

Data Engineer

San Mateo, CA

$130K - $156K/yr

Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Data Lake Storage (ADLS), and Azure SQL Deploy and manage cloud-based data infrastructure; leverage Azure DevOps for CI/CD of data ...

Bluelight Consulting

$134K - $161K/yr

Develop and maintain ETL data engineering processes using Python (PySpark) within Azure Synapse Analytics Notebooks, and/or Azure Synapse Analytics Pipelines, to ensure efficient data extractions ...

1 point system

.Net Azure Architect

San Francisco, CA · On-site

$74.75 - $97.50/hr

Work closely with AI engineering, data science, and security teams to optimize Azure cloud solutions. Required Qualifications: * Experience: 12-15 years in designing, developing, and supporting ...

1 point system

Azure .NET Architect

San Francisco, CA · On-site

$74.75 - $97.50/hr

Work closely with AI engineering, data science, and security teams to optimize Azure cloud solutions. * Experience: 12-15 years in designing, developing, and supporting enterprise-grade SaaS products ...

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All JobsAzure Data JobsAzure Data Jobs in California

Azure Data information

What is the difference between Azure Data vs Data Engineer?

AspectAzure DataData Engineer
CertificationsAzure Data Engineer Associate, Azure FundamentalsGoogle Cloud Professional Data Engineer, AWS Certified Data Analytics
Work EnvironmentPrimarily cloud-based, using Azure platformCloud, on-premises, or hybrid environments
Industry UsageOrganizations leveraging Azure cloud servicesOrganizations managing large-scale data pipelines and storage
Common Search IntentAzure Data roles, Azure Data solutionsData pipeline development, data architecture

Azure Data professionals focus on managing data within the Azure cloud ecosystem, utilizing Azure-specific tools and services. Data Engineers have a broader scope, designing and building data pipelines across various platforms, including Azure, AWS, or on-premises systems. While Azure Data roles are specialized for Azure environments, Data Engineers work across multiple cloud providers and on-premises setups, making their roles more versatile in data infrastructure development.

How does an Azure Data professional typically collaborate with other teams within an organization?

Azure Data professionals frequently work alongside data engineers, business analysts, developers, and IT administrators to ensure that data solutions are robust, scalable, and meet business needs. They often participate in cross-functional meetings to understand requirements, troubleshoot issues, and optimize data pipelines. Effective communication is key, as they translate technical concepts for non-technical stakeholders and provide guidance on best practices for data storage, processing, and security within Azure environments.

What are the key skills and qualifications needed to thrive as an Azure Data professional, and why are they important?

To thrive as an Azure Data professional, you need expertise in data modeling, SQL, and cloud data architecture, typically supported by a degree in computer science or a related field. Familiarity with Microsoft Azure services (such as Azure SQL Database, Data Factory, Synapse Analytics), and certifications like Microsoft Certified: Azure Data Engineer Associate are highly valued. Strong problem-solving, analytical thinking, and effective communication skills help you excel in cross-functional teams and translate business requirements into technical solutions. These competencies ensure data solutions are robust, scalable, and aligned with organizational goals in a rapidly evolving cloud environment.

What are Azure Data jobs?

Azure Data jobs refer to roles that focus on managing, analyzing, and securing data using Microsoft's Azure cloud platform. These positions can include data engineers, data analysts, database administrators, and data architects who work with Azure services like Azure SQL Database, Azure Data Lake, and Azure Synapse Analytics. Responsibilities often involve designing data solutions, building data pipelines, ensuring data quality, and implementing security best practices on Azure. Professionals in Azure Data roles help organizations leverage cloud-based data technologies to gain insights, optimize operations, and support business decision-making.
What are popular job titles related to Azure Data jobs in California? For Azure Data jobs in California, the most frequently searched job titles are:
What job categories do people searching Azure Data jobs in California look for? The top searched job categories for Azure Data jobs in California are:
Azure Data jobs near you
Infographic showing various Azure Data job openings in California as of June 2026, with employment types broken down into 100% Full Time. Highlights an 78% Physical, 8% Hybrid, and 14% Remote job distribution.
Azure Data Engineer

Azure Data Engineer

West Advanced Technologies (WATI)

Downey, CA • On-site

$117K - $140K/yr

Full-time

Posted 12 days ago

Job description

Job Title: (Azure Data Engineer) with Lakehouse Platform
Location: Downey, CA, 90242 :: Remote
Duration: 12 Months
Skills Required
Possess knowledge and technical expertise in standards and technologies to support complex business analysis, solution selection, systems design, and application integration - SQL and Relational Databases such as Oracle, SQL Server - Designing & developing SQL queries, stored procedures, views, debugging & tuning complex queries for optimal performance - UNIX shell scripts - Python - Azure Cloud - Azure Data Factory - Databricks - DataOps.
This classification must have a minimum of
seven (7) years of applying Enterprise Architecture principles.
At least five (5) years of that experience must be in a lead capacity. Q
5 years of experience in Azure Data Factory
5 years of experience in Databricks
5 years of experience in Managing Azure Resources
5 years of experience in automating Azure Data Resources using DataOps
5 years of experience in developing data models and data pipelines using Python
5 years of experience in Lakehouse Platform.
Education:
This classification requires the possession of a bachelor's degree in an IT-related or Engineering field. Additional qualifying experience may be substituted for the required education on a year-for-year basis.

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