Pay: $100,000–117,000/year — pay source
Applications will be accepted until October 25, 2026. 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.
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Work setup: Hybrid stated — work setup source
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.
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Employment: Unconfirmed

Before you apply

Sponsorship: Visa sponsorship not confirmed — sponsorship source
*Please note, this role is not able to offer visa transfer or sponsorship now or in the future*
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What you’ll work on

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.

Design and architect end-to-end data platform solutions using Azure Databricks, Azure Data Services, and modern cloud technologies.

Tools in this posting

Python
SQL
Azure
Databricks
Oracle
PySpark

Source

- 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.

- 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.

- 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.

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:

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.

- 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

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.

- 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 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.

- 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.

- 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.

- 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.

- 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.

Job description

View original posting ↗

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.

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

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. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.

Salary and Other Compensation:

Applications will be accepted until October 25, 2026.

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.

Your next step

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Check the listed location, eligibility and core experience before starting.

Complete your application on careers.cognizant.com. The employer’s form will show what is required.

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Source & posting history

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Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay: Applications will be accepted until October 25, 2026. 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.
Location & working pattern: SanFrancisco, CA-Mission St, California, United States
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.
Work authorization: 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. *Please note, this role is not able to offer visa transfer or sponsorship now or in the future* What you need to have to be considered

Open source at careers.cognizant.com ↗Read the full description ↓

Status in our records: Active
First seen by us: Aug 31, 2026
Recorded sightings: 94
Last seen by us: Oct 14, 2026

These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.

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Sr. Azure Databricks Data Engineer / Architect