Pay
In line with similar jobs
$150K–$170K against $154K–$225K, the middle half of what similar US postings state.
From 2,958 postings in the last year. Stated ranges, not salaries paid.
Azure Data Architect
Duluth, Georgia, United States
Actively hiring, first seen by us today- Pay
$150,000–170,000/year — pay source
Salary and Other Compensation: The annual salary for this position is between $150-170K 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.
Read the full posting- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting
What you’ll work on
Full postingOwn the end-to-end data and AI architecture blueprint on Azure Databricks
Design lakehouse and data engineering patterns for ingestion and transformation
Guide cross-functional teams on integrating Databricks with warehouses, lakes and systems
Lead reference architectures and standards for pipelines, training and model serving
Drive performance, security and cost governance of Databricks workloads
From the employer’s posting
Define and own the end to end data and artificial intelligence architecture blueprint using Azure Databricks
Design robust lakehouse and data engineering patterns on Azure Databricks
Provide architectural guidance to cross functional teams on integrating Azure Databricks with data warehouses data lakes and operational systems
Lead creation of reference architectures reusable components and best practice standards for data pipelines model training and model serving
Drive performance optimization security hardening and cost governance of Azure Databricks workloads
Posting record
Report an errorActively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 5, 2026today
- Recorded sightings
- 1
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 0
Early. Similar jobs usually come down between day 7 and day 54.
At Cognizant, jobs usually come down by about day 21.
From 7,963 similar postings that came down, and 386 of Cognizant’s. Coming down is not always a hire.
Cognizant is hiring
139 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring at a steady pace
- Takes jobs down quickly
- 6% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- Azure
- Databricks
- Delta Lake
- Snowflake
Where the posting names them
- Apply solid understanding of distributed computing security compliance and identity management to design Azure hosted solutions that protect sensitive information and meet organizational policies - Exhibit proficiency in modern programming and scripting languages commonly used with Azure Databricks such as Python and SQL along with familiarity in notebook based development and testing - Show experience working in hybrid work environments using collaborative tools and structured communication practices that ensure effective coordination across onsite and remote team members
Job Summary Principal Architect role focused on designing and governing enterprise grade data and artificial intelligence platforms using Azure Databricks SNOWflake in a hybrid work model. The architect will define scalable solutions guide complex implementations and ensure alignment with business outcomes while creating responsible data and artificial intelligence capabilities that deliver sustainable value for clients and society. Responsibilities
Responsibilities - Define and own the end to end data and artificial intelligence architecture blueprint using Azure Databricks to deliver secure scalable and high performing solutions that align with enterprise strategy and business outcomes - Design robust lakehouse and data engineering patterns on Azure Databricks that enable reliable ingestion transformation and consumption of large scale structured and unstructured data for analytics and machine learning workloads
- Define and own the end to end data and artificial intelligence architecture blueprint using Azure Databricks to deliver secure scalable and high performing solutions that align with enterprise strategy and business outcomes - Design robust lakehouse and data engineering patterns on Azure Databricks that enable reliable ingestion transformation and consumption of large scale structured and unstructured data for analytics and machine learning workloads - Provide architectural guidance to cross functional teams on integrating Azure Databricks with data warehouses data lakes and operational systems to create unified and trusted information platforms
- Design robust lakehouse and data engineering patterns on Azure Databricks that enable reliable ingestion transformation and consumption of large scale structured and unstructured data for analytics and machine learning workloads - Provide architectural guidance to cross functional teams on integrating Azure Databricks with data warehouses data lakes and operational systems to create unified and trusted information platforms - Oversee selection and use of artificial intelligence tools frameworks and services ensuring that models built on Azure Databricks are responsible explainable and aligned with ethical and regulatory requirements
- Provide architectural guidance to cross functional teams on integrating Azure Databricks with data warehouses data lakes and operational systems to create unified and trusted information platforms - Oversee selection and use of artificial intelligence tools frameworks and services ensuring that models built on Azure Databricks are responsible explainable and aligned with ethical and regulatory requirements - Lead creation of reference architectures reusable components and best practice standards for data pipelines model training and model serving to accelerate solution delivery and reduce technical debt
- Collaborate closely with product owners and business stakeholders to translate complex business goals into clear architectural roadmaps that prioritize value impact reliability and long term maintainability - Drive performance optimization security hardening and cost governance of Azure Databricks workloads by applying tuning patterns monitoring strategies and well defined resource management practices - Support teams in designing feature stores experiment tracking and model lifecycle processes on Azure Databricks so that artificial intelligence solutions remain traceable testable and easy to improve over time
- Drive performance optimization security hardening and cost governance of Azure Databricks workloads by applying tuning patterns monitoring strategies and well defined resource management practices - Support teams in designing feature stores experiment tracking and model lifecycle processes on Azure Databricks so that artificial intelligence solutions remain traceable testable and easy to improve over time - Guide adoption of modern data and artificial intelligence practices including automation infrastructure as code continuous integration and continuous delivery so that platforms remain resilient and ready for rapid change
Qualifications - Possess deep hands on expertise in Azure Databricks including cluster configuration job orchestration delta based storage patterns and integration with wider Azure data services - Demonstrate advanced knowledge of artificial intelligence concepts machine learning workflows and operationalizing models at scale using cloud native tools and frameworks
- Bring strong experience in enterprise data architecture including data modeling metadata management data quality practices and designing resilient platforms for analytics and reporting - Apply solid understanding of distributed computing security compliance and identity management to design Azure hosted solutions that protect sensitive information and meet organizational policies - Exhibit proficiency in modern programming and scripting languages commonly used with Azure Databricks such as Python and SQL along with familiarity in notebook based development and testing
Your next step
Complete your application on careers.cognizant.com. The employer’s form will show what is required.
Already applied? Track this application
Has Cognizant posted this job before?
Yes. We’ve followed one other Azure Data Architect job there since September 2026. It is still up.
About Cognizant
- People
- About 351,600 in 2025, up 4% from the year before.Annual report (SEC Form 10-K)
- Company
- Listed as CTSH.
- H-1B visas
- 1,401 approved for new hires in fiscal 2025.US Citizenship and Immigration Services
Demand for Data Leadership roles
New Data Leadership postings at the employers we follow are up 7% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
US government figures for computer and information systems managers
- Median yearly pay, May 2025
- $175,140
- Expected change, 2025 to 2035
- 15.8% more jobsagainst 3.5% for all jobs
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
Job description
Job Summary
Principal Architect role focused on designing and governing enterprise grade data and artificial intelligence platforms using Azure Databricks SNOWflake in a hybrid work model. The architect will define scalable solutions guide complex implementations and ensure alignment with business outcomes while creating responsible data and artificial intelligence capabilities that deliver sustainable value for clients and society.
Responsibilities
- Define and own the end to end data and artificial intelligence architecture blueprint using Azure Databricks to deliver secure scalable and high performing solutions that align with enterprise strategy and business outcomes
- Design robust lakehouse and data engineering patterns on Azure Databricks that enable reliable ingestion transformation and consumption of large scale structured and unstructured data for analytics and machine learning workloads
- Provide architectural guidance to cross functional teams on integrating Azure Databricks with data warehouses data lakes and operational systems to create unified and trusted information platforms
- Oversee selection and use of artificial intelligence tools frameworks and services ensuring that models built on Azure Databricks are responsible explainable and aligned with ethical and regulatory requirements
- Lead creation of reference architectures reusable components and best practice standards for data pipelines model training and model serving to accelerate solution delivery and reduce technical debt
- Collaborate closely with product owners and business stakeholders to translate complex business goals into clear architectural roadmaps that prioritize value impact reliability and long term maintainability
- Drive performance optimization security hardening and cost governance of Azure Databricks workloads by applying tuning patterns monitoring strategies and well defined resource management practices
- Support teams in designing feature stores experiment tracking and model lifecycle processes on Azure Databricks so that artificial intelligence solutions remain traceable testable and easy to improve over time
- Guide adoption of modern data and artificial intelligence practices including automation infrastructure as code continuous integration and continuous delivery so that platforms remain resilient and ready for rapid change
- Partner with data scientists engineers and analysts to design end to end pipelines from data acquisition through model deployment that improve decision making and operational efficiency across the organization
- Influence technology choices and architectural decisions through clear documentation diagrams and presentations that help teams understand trade offs and make informed design selections
- Mentor architects and senior engineers by reviewing designs sharing insights from complex implementations and fostering a culture of technical excellence and continuous learning
- Ensure that architectural solutions support sustainability accessibility and positive societal impact by enabling fair insights responsible artificial intelligence and data driven innovation for clients and communities
Qualifications
- Possess deep hands on expertise in Azure Databricks including cluster configuration job orchestration delta based storage patterns and integration with wider Azure data services
- Demonstrate advanced knowledge of artificial intelligence concepts machine learning workflows and operationalizing models at scale using cloud native tools and frameworks
- Bring strong experience in enterprise data architecture including data modeling metadata management data quality practices and designing resilient platforms for analytics and reporting
- Apply solid understanding of distributed computing security compliance and identity management to design Azure hosted solutions that protect sensitive information and meet organizational policies
- Exhibit proficiency in modern programming and scripting languages commonly used with Azure Databricks such as Python and SQL along with familiarity in notebook based development and testing
- Show experience working in hybrid work environments using collaborative tools and structured communication practices that ensure effective coordination across onsite and remote team members
- Demonstrate ability to evaluate emerging data and artificial intelligence technologies create adoption recommendations and guide stakeholders through change while keeping focus on measurable business value.
Exempt Roles (up to AD Level)
Note: Compensation range should extend from the minimum to P75, consistent with the job family and level.
For all remote positions and those based in pay transparency locations, include this text in the External Description:
Salary and Other Compensation:
The annual salary for this position is between $150-170K 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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Salary and Other Compensation: The annual salary for this position is between $150-170K 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
Duluth, Georgia, United States
Job Summary Principal Architect role focused on designing and governing enterprise grade data and artificial intelligence platforms using Azure Databricks SNOWflake in a hybrid work model. The architect will define scalable solutions guide complex implementations and ensure alignment with business outcomes while creating responsible data and artificial intelligence capabilities that deliver sustainable value for clients and society. Responsibilities
More source context
- Exhibit proficiency in modern programming and scripting languages commonly used with Azure Databricks such as Python and SQL along with familiarity in notebook based development and testing - Show experience working in hybrid work environments using collaborative tools and structured communication practices that ensure effective coordination across onsite and remote team members - Demonstrate ability to evaluate emerging data and artificial intelligence technologies create adoption recommendations and guide stakeholders through change while keeping focus on measurable business value.
More relevant text appears in the full description.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.