Staff Data & AI Architect (Forward-Deployed)

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

Staff Data & AI Architect (Forward-Deployed)

About the role

As a Staff Architect, you will make an impact by translating enterprise data and AI strategy into scalable, production-ready solutions that drive measurable business outcomes. You will be a valued member of the Data & AI organization and work collaboratively with Principal Architects, data engineers, product teams, business stakeholders, and platform specialists to design, implement, and govern enterprise-scale data products, AI-enabled solutions, and modern data platforms.

This role combines architecture leadership with hands-on technical ownership, ensuring roadmap initiatives are delivered against defined business objectives, operational metrics, and transformation goals.

In this role, you will:

• Design and implement enterprise data solutions spanning Bronze, Silver, and Gold data layers, canonical data models, and modern data architecture patterns.
• Lead the integration of AI-enabled capabilities, data products, automation frameworks, and agent-based solutions into enterprise data platforms.
• Own the technical delivery of assigned transformation initiatives, ensuring successful execution against business outcomes, performance targets, and operational metrics.
• Establish and maintain data governance, lineage, quality, and operational best practices across data products and platform capabilities.
• Provide technical leadership, mentorship, and oversight for engineering teams through architecture reviews, solution design sessions, and delivery governance.

Work model

At Cognizant, we strive to provide flexibility wherever possible, and we are here to support a healthy work-life balance though our various wellbeing programs. Based on this role's business requirements, this is an onsite position requiring work in a Cognizant or client office in Plano, Texas.

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

• 10+ years of experience in data engineering, data architecture, analytics, or related technology disciplines.
• 3+ years of experience serving as a Staff Architect, Solution Architect, Lead Data Architect, or comparable technical leadership role.
• Hands-on experience designing and implementing Databricks Lakehouse solutions in production environments.
• Experience building and supporting enterprise data pipelines, data platforms, and large-scale modern data architectures.
• Strong expertise in data modeling, Data Vault methodologies, canonical data models, dimensional modeling, and source-to-target mapping design.
• Experience integrating AI, Generative AI, or agentic solutions into enterprise data ecosystems.
• Strong experience developing and deploying ETL/ELT solutions using PySpark and cloud-based data engineering technologies.
• Experience implementing CI/CD processes, automated testing, and quality assurance for enterprise data pipelines.
• Demonstrated ability to own technical delivery commitments with measurable business and operational outcomes.
• Excellent communication, stakeholder management, problem-solving, and technical leadership skills.

These will help you stand out

• Experience with Databricks technologies including Delta Lake, Delta Live Tables (DLT), Unity Catalog, Mosaic AI, and Databricks SQL.
• Knowledge of enterprise AI platforms, agent orchestration frameworks, and intelligent automation solutions.
• Experience implementing data quality frameworks such as ICEDQ, Great Expectations, or similar validation platforms.
• Experience supporting large-scale enterprise modernization initiatives involving ERP transformations, SAP S/4HANA migrations, or legacy platform decommissioning.
• Familiarity with BI modernization and reporting platforms including Power BI, Tableau, and Qlik Sense.
• Knowledge of FinOps, cloud cost optimization, enterprise governance, data lineage, and operational excellence frameworks.

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 11, 2026.

The annual salary for this position is between $150,000 - $186,000 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.

About Cognizant:

Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization's unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.

Additional employment information

Compensation 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.

Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.

Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.

If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email CareersNA2@cognizant.com for roles based in the Americas or CareersIndia2@cognizant.com for roles based in India.