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Sr Azure Data Engineer Jobs in California (NOW HIRING)

Azure Data Engineer

Santa Clara, CA · On-site

$134K - $161K/yr

Omega Solutions, Inc. is looking for an Azure Data Engineer to join their Data Science and Platform team. In this role, you will develop and maintain data pipelines, work closely with Data Scientists ...

Senior Data Engineer Industry: Healthcare Location: Emeryville, CA Assignment Type: Full time, ... We're looking for an Azure Data Engineer to help build and enhance a modern cloud-based data ...

Lead Azure Data Engineer

Fountain Valley, CA · On-site

$124K - $149K/yr

... data engineering and governance). * They are working on building an Azure based data platform and migrating to cloud, using Azure Data Lake storage, Databricks and Azure Synapse Analytics.

New

Lead Azure Data Engineer

Fountain Valley, CA · On-site

$124K - $149K/yr

... data engineering and governance). * They are working on building an Azure based data platform and migrating to cloud, using Azure Data Lake storage, Databricks and Azure Synapse Analytics.

New

Senior Data Engineer

Pomona, CA · On-site

$114K - $140K/yr

The Senior Data Engineer leads the design, modernization, and operational support of the enterprise ... Leads conversion of SSIS packages to Azure Data Factory, Snowflake OpenFlow and modern ELT ...

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Sr Azure Data Engineer information

What is a Sr Azure Data Engineer?

A Sr Azure Data Engineer is an experienced professional who designs, builds, and manages data solutions using Microsoft Azure's cloud platform. They focus on creating scalable data pipelines, integrating data from various sources, and ensuring data quality and security. Senior Azure Data Engineers often work with technologies like Azure Data Factory, Azure Databricks, and Azure Synapse Analytics, and they collaborate with data scientists and business analysts to support data-driven decision-making. Their expertise helps organizations leverage cloud-based data architectures for improved performance and scalability.

What are the key skills and qualifications needed to thrive as a Sr Azure Data Engineer?

To excel as a Sr Azure Data Engineer, you need expertise in data modeling, ETL processes, cloud data architectures, and a strong command of SQL and programming languages, typically complemented by a degree in computer science or a related field. Proficiency with Azure services such as Azure Data Factory, Databricks, Synapse Analytics, and relevant certifications like Microsoft Certified: Azure Data Engineer Associate are highly valued. Strong problem-solving abilities, collaboration, and effective communication set standout professionals apart in this role. These skills ensure the efficient design, implementation, and maintenance of scalable data solutions that meet business needs.

What are some typical challenges Sr Azure Data Engineers face when managing large-scale cloud data solutions?

Sr Azure Data Engineers often encounter challenges such as optimizing data pipelines for performance and cost efficiency, ensuring data security and compliance in cloud environments, and integrating diverse data sources across on-premises and cloud systems. Additionally, they may need to troubleshoot complex data flow issues and stay updated with rapidly evolving Azure services. Collaborating closely with data scientists, architects, and business stakeholders is also essential to deliver scalable, business-focused solutions.

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

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

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

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

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

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

Infographic showing various Sr Azure Data Engineer job openings in California as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 2% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Sr. Azure Databricks Data Engineer / Architect

Cognizant

San Francisco, CA • On-site

$100 - $117/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

New


Cognizant rating

7.0

Company rating: 7.0 out of 10

Based on 87 frontline employees who took The Breakroom Quiz

59th of 72 rated business consultants


Job description

About the role

As a Senior Azure Databricks Data Engineer / Architect, you will make an impact by designing and delivering scalable cloud-based data platform solutions that enable enterprise analytics, reporting, and data-driven decision-making. You will be a valued member of the Data Engineering team and work collaboratively with product owners, data engineers, business analysts, and other stakeholders to deliver secure, high-performing data solutions on Azure.

In this role, you will:
  • Design and architect end-to-end data platform solutions using Azure Databricks, Azure Data Services, and modern cloud technologies.
  • Build and optimize scalable data pipelines using Python and PySpark to ingest, transform, and validate large volumes of data.
  • Configure and administer Databricks environments, including workspace management, security, access controls, and cluster optimization.
  • Develop and maintain data models, Databricks SQL queries, and analytics solutions that support reporting and business intelligence initiatives.
  • Implement CI/CD and data platform best practices using Azure DevOps while ensuring data quality, governance, performance, and operational reliability.
Work model

We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role's business requirements, this is a hybrid position requiring 1-2 days per week in a client or Cognizant office in Irvine, California. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.

The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.

What you need to have to be considered
  • Strong experience with Azure Databricks and PySpark in enterprise-scale data engineering environments.
  • Hands‑on experience with Azure Data Factory (ADF) and cloud-based data integration solutions.
  • Experience working with Oracle Data Integrator (ODI) and relational database technologies.
  • Strong SQL and PL/SQL development skills with expertise in performance tuning and query optimization.
  • Experience designing and maintaining data lakes, data pipelines, and cloud-based analytics platforms on Microsoft Azure.
  • Proficiency with Azure DevOps, version control, CI/CD methodologies, and automated deployment practices.
  • Experience implementing data governance, security controls, and access management using services such as Azure Key Vault.
  • Strong communication and stakeholder management skills with the ability to translate business requirements into technical solutions.
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent professional experience.
These will help you stand out
  • Experience with Microsoft Fabric and modern analytics platforms.
  • Knowledge of data modeling, data warehousing, and lakehouse architectures.
  • Experience supporting automotive industry data and analytics initiatives.
  • Familiarity with Databricks Workflows, job orchestration, and monitoring frameworks.
  • Experience driving architecture standards, technical governance, and cloud modernization initiatives.

We're excited to meet people who share our mission and can make an impact in a variety of ways.

*Please note, this role is not able to offer visa transfer or sponsorship now or in the future*

Applications will be accepted until September 13, 2026.

Salary and Other Compensation

The annual salary for this position is between $ 100,000 - $ 117,000 depending on experience and other qualifications of the successful candidate.

This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.

Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:

  • Medical/Dental/Vision/Life Insurance
  • Paid holidays plus Paid Time Off
  • 401(k) plan and contributions
  • Long-term/Short-term Disability
  • Paid Parental Leave
  • Employee Stock Purchase Plan

Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

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