Lead Azure Data Engineer

About the role

As a Lead Azure Data Engineer, you will make an impact by designing, implementing, and overseeing scalable cloud-based data solutions using Azure technologies, while guiding technical teams and ensuring data integrity, performance, and alignment with business objectives. You will be a valued member of the Healthcare team and work collaboratively with cross-functional teams to ensure seamless data integration and transformation processes.

In this role, you will :

9+ years of technical and development experience, with at least 3 years in a leadership or senior engineering role

3+ years of hands-on experience with Azure Data Factory, Azure Synapse, and Databricks

Strong expertise in ETL, SQL, and PySpark

Proven experience managing cloud applications and ensuring network security

Proficiency with Git repositories and release pipelines

Work model :

We strive to provide flexibility wherever possible. Based on this role's business requirements, this is a remote position open to qualified applicants in the United States. Regardless of your working arrangement, we are here to support a healthy work-life balance though 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 :

Lead the design and development of enterprise-grade data pipelines using Azure Data Factory, Azure Synapse, and Databricks. Ensure scalability, reliability, and performance across large-scale ETL / ELT processes.

Take ownership of cloud-based data infrastructure, overseeing deployment, performance, and security. Champion best practices in cloud governance, network security, and compliance.

Serve as a strategic partner to data engineers, analysts, and business stakeholders. Facilitate requirement gathering, solution design, and integration efforts to align data initiatives with business goals.

Define and enforce standards for version control, automated deployments, and code quality using Git repositories and release pipelines. Mentor team members on DevOps best practices.

Guide the team in writing efficient SQL and PySpark code, conducting performance tuning, and resolving complex data issues. Promote a culture of data accuracy and operational excellence.

These will help you stand out :

Excellent communication and stakeholder management skills

Strong organizational skills with the ability to manage multiple priorities

One or more professional Azure certifications

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 September 22, 2025.

The annual salary for this position is between $70,000 - $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.

Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

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