SR Azure Technical lead

Cognizant; Blaine (MN); Hybrid; USD 100,000 - 130,000; Full time

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

Paid holidays + PTO

401(k) plan

Long-term/Short-term Disability

Paid Parental Leave

Employee Stock Purchase Plan

Job summary

Cognizant is seeking an experienced SR Azure Data Engineer in Minnesota to lead enterprise-scale data initiatives using Azure Databricks. You will design scalable data pipelines, optimize performance and collaborate with cross-functional teams to deliver reliable analytics for payer programs.

The role emphasizes governance, security, and cost control in a hybrid work environment, with a strong focus on improving member outcomes through data-driven decisions.

Qualifications

• Twelve to fourteen years of progressive experience in data engineering or analytics.
• Advanced proficiency with Databricks notebooks, jobs, clusters and Delta Lake.
• Strong Python or SQL programming skills for data pipelines and modeling.
• Experience with payer/healthcare data domains and governance considerations.

Responsibilities

• Design scalable Databricks-based data pipelines for ingestion, transformation and consumption.
• Lead end-to-end Databricks workflow implementation with notebooks, jobs and clusters.
• Collaborate with data architects, product owners and analysts to meet healthcare data needs.
• Optimize runtime configurations, storage formats and query patterns to cut costs.

Skills

Databricks

Python

SQL

Data modeling

Cost optimization

Hybrid teamwork

Tools

Delta Lake

Databricks

Job description

Cognizant (NASDAQ: CTSH) is a leading provider of information technology, consulting, and business process outsourcing services, dedicated to helping the world's leading companies build stronger businesses. Headquartered in Teaneck, New Jersey (U.S.). Cognizant is a member of the NASDAQ-100, the S&P 500, the Forbes Global 1000, and the Fortune 500 and we are among the top performing and fastest growing companies in the world.

Position Title : SR Azure Data Engineer

We are looking for an experienced technical lead with strong Azure Databricks Engineer expertise and twelve to fourteen years of overall experience to drive enterprise scale data engineering initiatives. The role focuses on designing optimizing and governing analytics solutions that enable payer domain stakeholders to make better decisions and deliver improved outcomes for members and communities.

Responsibilities

• Design scalable Databricks based data engineering solutions that enable reliable ingestion transformation and consumption of large structured and unstructured datasets for analytics and reporting across the organization
• Drive end to end implementation of Databricks workflows by defining robust notebooks jobs clusters and data pipelines that meet performance reliability and security requirements in a hybrid work environment
• Collaborate closely with data architects product owners and business analysts to translate complex payer domain needs into actionable Databricks solutions that improve operational efficiency and member experience
• Optimize Databricks runtime configurations storage formats and query patterns to reduce compute costs accelerate processing times and ensure efficient use of cloud resources
• Implement rigorous coding standards testing practices and version control for Databricks notebooks and utilities to maintain high quality reusable and maintainable data engineering assets
• Guide teams in adopting best practices for Delta Lake data modeling data partitioning and incremental processing so that downstream analytics and machine learning workloads operate with trusted and timely data
• Coordinate with data governance and compliance stakeholders to enforce robust access controls lineage tracking and data quality checks within Databricks ensuring adherence to healthcare and payer regulatory expectations
• Troubleshoot complex data pipeline issues by analyzing logs metrics and data anomalies in Databricks and drive root cause resolution that minimizes business disruption and improves system resilience
• Mentor cross functional team members on Databricks features and modern data engineering techniques fostering a culture of continuous improvement and knowledge sharing across the enterprise
• Collaborate with reporting and analytics teams to design semantic views and performant tables in Databricks that power self service insights for payer operations finance and care management functions
• Evaluate new Databricks capabilities and related data engineering tools and propose pragmatic adoption strategies that align with enterprise architecture and deliver measurable business value
• Coordinate hybrid work practices by maintaining efficient communication documentation and collaboration routines ensuring smooth project delivery without travel requirements
• Contribute to organizational purpose by enabling data driven decisions that enhance payer program transparency reduce waste and improve health outcomes for members and communities

Qualifications

• Possess twelve to fourteen years of progressive experience in data engineering or analytics with several years focused on driving complex initiatives using Databricks in large enterprises
• Demonstrate advanced proficiency in Databricks notebooks jobs clusters and Delta Lake including experience with performance tuning optimization and cost management for production workloads
• Exhibit strong skills in designing data models data pipelines and batch or near real time processing patterns using Databricks along with common programming languages such as Python or SQL
• Show familiarity with payer or broader healthcare data domains including claims eligibility and provider information enabling more relevant solution design and stakeholder communication
• Apply solid understanding of data governance security controls and regulatory considerations within healthcare and payer environments when designing and operating Databricks solutions
• Illustrate ability to work effectively in hybrid teams using collaborative tools and structured communication practices to manage requirements documentation and delivery milestones without travel
• Display strong problem solving and analytical capabilities with a focus on measurable outcomes such as improved data quality reduced processing time and better decision support for business partners

Application Accepted: 10/15/2026

The annual salary for this position is between $100,000 - $130,000 depending on experience and other qualifications of the successful candidate.

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 language

Our strength is built on our ability to work together. Our diverse backgrounds offer different perspectives and new ways of thinking. It encourages lively discussions, creativity, productivity, and helps us build better solutions for our clients. We want someone who thrives in this setting and is inspired to craft meaningful solutions through true collaboration.

If you are content with ambiguity, excited by change, and excel through autonomy, we’d love to hear from you!

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