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Azure Data Platform Engineer Jobs in California (NOW HIRING)

Horizontal Talent

Sr. Data Engineer

San Francisco, CA · On-site +1

$60 - $96/hr

This position focuses on building reliable, high-performance pipelines and modern data platform capabilities using Databricks, Azure Data Factory, and DevOps practices. Responsibilities * Design ...

DocuSign

Sr. Data Platform Engineer

San Francisco, CA · On-site +1

$134K - $161K/yr

You will work closely with data engineers, data scientists, ML/AI engineers, BI developers, and ... Experience with cloud platforms (e.g., AWS, Azure) and InfrastructureasCode and CI/CD practices for ...

Addison Group

Senior Data Engineer

Emeryville, CA · On-site

$140/day

We're looking for an Azure Data Engineer to help build and enhance a modern cloud-based data platform. This role will focus on Azure Data Factory (ADF) as part of the existing ecosystem while also ...

LERETA, LLC

Senior Data Engineer

Pomona, CA

$114K - $140K/yr

The Senior Data Engineer leads the design, modernization, and operational support of the enterprise ... Azure, Snowflake, Microsoft BI technologies, and the Power Platform. Key Responsibilities:

FieldAI

Data Platform Engineer, Infrastructure

Irvine, CA

$115K - $151K/yr

About the Job As a Data Platform Engineer, Infrastructure , you will build and operate the cloud foundation the entire data platform runs on -- the systems every robot log, dashboard, and model ...

FieldAI

Data Platform Engineer, Infrastructure

Irvine, CA · On-site

$115K - $151K/yr

About the Job As a Data Platform Engineer, Infrastructure , you will build and operate the cloud foundation the entire data platform runs on - the systems every robot log, dashboard, and model ...

FieldAI

Data Platform Engineer, Infrastructure

Irvine, CA · On-site

$115K - $151K/yr

About the Job As a Data Platform Engineer, Infrastructure , you will build and operate the cloud foundation the entire data platform runs on - the systems every robot log, dashboard, and model ...

Lereta

Senior Data Engineer

Pomona, CA · On-site

$114K - $140K/yr

The Senior Data Engineer leads the design, modernization, and operational support of the enterprise ... Azure, Snowflake, Microsoft BI technologies, and the Power Platform. Key Responsibilities:

Mother Lode Holding Company

Platform Engineer

Roseville, CA · On-site

$35.54 - $47.37/hr

Configure and maintain Azure serverless components, including Azure Functions. * Support Azure ... Document AI solutions, data flows, limitations, support procedures, and operational controls. * SQL ...

Numentica LLC

Senior Databricks Data Engineer

Calabasas, CA · On-site

$120K - $145K/yr

Senior Data Engineer (AI & Databricks) Location: Las Vegas, NV / Calabasas, CA Work Model: Onsite ... Support Azure-based data platforms for BI and AI/ML initiatives. * Participate in code reviews and ...

Lam Research Corporation

Data Engineer 4

Fremont, CA · On-site

$119K - $261K/yr

... Azure, Microsoft Fabric, and related cloud data platforms to support Enterprise AI use cases ... Partner closely with AI/ML engineers, data scientists, business teams, and platform teams to ...

Rocket Money

Senior Data Platform Engineer

San Francisco, CA · On-site

$124K - $169K/yr

ABOUT THE TEAM Data Platform Engineers at Rocket Money further our mission by building and ... AWS (Redshift, DMS, Lambda, SageMaker, S3) or Azure (Synapse, Data Factory, Functions), Snowflake ...

FieldAI

Data Platform Engineer, Data Pipelines

Irvine, CA

$122K - $147K/yr

About the Job As a Data Platform Engineer, Data Pipelines , you will design and build the systems and integrations that help move data reliably from robots in the field to the teams and services that ...

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All JobsAzure Data Platform Engineer JobsAzure Data Platform Engineer Jobs in California

Azure Data Platform Engineer information

What is the difference between Azure Data Platform Engineer vs Data Engineer?

AspectAzure Data Platform EngineerData Engineer
CertificationsAzure certifications (e.g., DP-203)General data engineering certifications (e.g., Google Cloud, AWS)
Work EnvironmentPrimarily cloud-based, Azure ecosystemOn-premises, cloud, or hybrid environments
Industry UsageOrganizations using Microsoft AzureVarious industries, broader data infrastructure roles
FocusDesigning, implementing, and managing Azure data solutionsBuilding and maintaining data pipelines and architectures

The Azure Data Platform Engineer specializes in Azure cloud data solutions, while the Data Engineer has a broader scope across different platforms and environments. Both roles require strong data management skills, but the Azure Data Platform Engineer focuses specifically on Azure services and certifications.

What are some common challenges Azure Data Platform Engineers face when integrating data from multiple sources?

Azure Data Platform Engineers often encounter challenges when consolidating data from diverse sources, such as differing data formats, inconsistent data quality, and varying update frequencies. Addressing these issues typically involves designing robust data pipelines using Azure Data Factory or Synapse, implementing effective data transformation and cleansing routines, and ensuring secure, compliant data movement. Collaborating closely with data architects and business analysts is essential to align technical solutions with organizational data governance and integration requirements.

What is an Azure Data Platform Engineer?

An Azure Data Platform Engineer is a technology professional who specializes in designing, building, and managing data solutions on Microsoft Azure. They work with services such as Azure SQL Database, Azure Data Factory, Azure Synapse Analytics, and other cloud-based data technologies to ensure efficient data storage, processing, integration, and analytics. Their role often involves implementing data pipelines, managing data security, optimizing performance, and supporting data-driven decision-making for organizations. Azure Data Platform Engineers typically collaborate with data scientists, analysts, and software developers to deliver robust and scalable data solutions.

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

To thrive as an Azure Data Platform Engineer, you need expertise in data modeling, SQL, cloud architecture, and a strong understanding of Microsoft Azure services, typically supported by a degree in computer science or related fields. Familiarity with Azure Data Factory, Azure SQL Database, Databricks, and certifications like Microsoft Certified: Azure Data Engineer Associate are valuable. Strong analytical thinking, problem-solving skills, and effective communication set top performers apart in this role. These skills ensure the efficient design, deployment, and management of robust data solutions that support business intelligence and analytics needs.

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

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

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

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

What cities in California are hiring for Azure Data Platform Engineer jobs?

Cities in California with the most Azure Data Platform Engineer job openings:

Azure Data Platform Engineer jobs near you
Infographic showing various Azure Data Platform Engineer job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Sr. Data Engineer

Horizontal Talent

San Francisco, CA • On-site, Remote

$60 - $96/hr

Full-time

Medical, Dental, Vision, Retirement

Posted 22 days ago

Job description

Join a dynamic data engineering team supporting large-scale analytics and cloud data solutions for a hybrid onsite role in San Francisco, CA. This position focuses on building reliable, high-performance pipelines and modern data platform capabilities using Databricks, Azure Data Factory, and DevOps practices.

Responsibilities
  • Design, build, and maintain scalable data pipelines and analytics solutions for big data environments.
  • Develop and optimize workflows that support efficient, reliable data processing and delivery.
  • Work closely with cross-functional partners to translate data needs into actionable technical solutions.
  • Support data platform operations with a focus on quality, availability, performance, and stability.
  • Apply cloud and DevOps practices to automate data workflows and improve delivery efficiency.
  • Troubleshoot issues across data pipelines and environments to help ensure smooth day-to-day operations.
  • Contribute to data governance, security, and compliance practices within the data ecosystem.
  • Share knowledge and help mentor others while promoting collaborative ways of working.
Skills
  • 8+ years of experience in data engineering with a strong big data background.
  • Hands-on experience with Databricks and Azure Data Factory.
  • Experience with DevOps tools and practices related to data engineering and CI/CD.
  • Strong working knowledge of Hadoop, Spark, Kafka, or similar distributed data technologies.
  • Proficiency in Python, Scala, or Java.
  • Solid understanding of SQL and NoSQL databases.
  • Experience building ETL processes, data pipelines, and real-time or batch data solutions.
  • Strong problem-solving skills and the ability to communicate effectively with technical and business stakeholders.
Preferred Skills
  • Experience with cloud data platforms such as Azure, AWS, or GCP.
  • Knowledge of Flink or other streaming/data processing frameworks.
  • Familiarity with data modeling and distributed computing concepts.
  • Background supporting machine learning pipelines or AI-enabled data solutions.
  • Experience in Agile environments and with team leadership or mentoring.
  • Knowledge of California emissions-related data or compliance work is a plus.

Horizontal Talent is committed to fostering an inclusive workplace where diverse perspectives are valued and everyone has the opportunity to thrive. We welcome candidates of all backgrounds and experiences who are excited to contribute to a collaborative, respectful, and equitable environment.

By applying for this position, you acknowledge and agree that Horizontal Talent may contact you regarding your application using automated technology, including phone calls, SMS/text messages, or email, which may be delivered by our virtual AI recruiter, Alex.


Please apply through this online posting or by visiting our Job Board at www.horizontaltalent.com/job-board. Applications will be accepted for 4 weeks. For those that join the team, we offer competitive compensation and benefits including medical, dental, vision, and retirement. Check out all we have to offer and how you can become part of the Horizontal Talent Team. The pay range for this role is $60 - $96 per hour based on qualifications and experience.

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