Jobs in the United States

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Added 2 mins ago
HVAC / Engineer-2
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Other duties may be assigned. Management also reserves the right to change or modify
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Cognizant

Data AI Solutions Architect

Dallas, TX, United States

$170,000 to $200,000 USD / year · Full-time

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Job details

Pay: $170,000 to $200,000 USD / year
Job type: Full-time
Work location: This position follows a hybrid work model and can be based in either:
Posting language: English
Posted: Nov 10, 2026

Original job description

Data & AI Solution Architect (Hybrid)

Location: Dallas, TX or New York / New Jersey Area (Hybrid)

Employment Type: Full-Time

Travel: Approximately 30%

About Cognizant

Cognizant is one of the world's leading professional services companies, helping clients modernize technology, reimagine processes, and transform experiences. We engineer modern businesses to improve everyday life. Our associates around the globe help clients build stronger, more agile, and innovative organizations.

Our Data, AI, and Cloud practice helps clients accelerate digital transformation through modern data platforms, cloud-native architectures, advanced analytics, AI, and Generative AI solutions. We partner with global organizations to modernize legacy environments, unlock the value of enterprise data, and build intelligent business capabilities at scale.

Role Overview

Cognizant is seeking an experienced Data & AI Solution Architect to lead architecture, solution design, pre-sales, and enterprise transformation engagements focused on modern data and AI platforms.

This role requires a seasoned technology leader with deep expertise in data engineering, cloud modernization, analytics, and AI-driven solutions. The successful candidate will engage directly with business and technology stakeholders, shape strategic solution roadmaps, develop innovative architectures, and lead large-scale implementation programs.

The ideal candidate will have strong expertise in either Databricks or Google Cloud Platform (GCP) , along with extensive experience designing modern Data Lake, Lakehouse, Data Mesh, Data Warehouse, Data as a Product, and Generative AI ecosystems.

Retail and Consumer Goods experience is preferred; however, candidates from other industries with strong data and AI transformation experience will also be considered.

Work Model

This position follows a hybrid work model and can be based in either:

Dallas, Texas
New York Metropolitan Area
New Jersey

Travel of approximately 30% is expected to support client engagements, workshops, architecture reviews, business development activities, and delivery oversight.

Key Responsibilities

Solution Architecture & Technology Leadership

Lead the design and implementation of enterprise-scale Data, Analytics, AI, and Cloud transformation solutions.
Define target-state architectures for modern data platforms supporting analytics, machine learning, GenAI, and operational intelligence.
Develop end-to-end solution blueprints spanning ingestion, transformation, storage, governance, security, and consumption layers.
Serve as the primary technical advisor for clients undergoing large-scale data modernization initiatives.
Create architecture strategies aligned with business objectives, scalability requirements, and enterprise standards.

Pre-Sales & Client Engagement

Lead solutioning activities during sales pursuits and strategic client discussions.
Develop technical proposals, architecture presentations, effort estimates, sizing models, and statements of work.
Participate in solution defense sessions and executive-level architecture workshops.
Present innovative Data & AI solutions to business and technical leadership teams.
Collaborate with account teams to identify growth opportunities and support business development initiatives.

Data Engineering & Data Platform Modernization

Design and oversee implementation of:
Data Warehouses
Data Lakes
Lakehouse Architectures
Data Mesh Platforms
Data as a Product Frameworks
Generative AI Data Foundations
Lead modernization programs involving migration from legacy platforms such as:
Hadoop
Teradata
Traditional Enterprise Data Warehouses
Architect modern ingestion frameworks supporting:
Batch Processing
Micro-Batch Processing
Real-Time Streaming
API-Based Integration
Change Data Capture (CDC)
Drive implementation of scalable and performant data pipelines following industry best practices.

Data Governance & Enterprise Data Strategy

Architect enterprise data governance frameworks supporting modern data ecosystems.
Establish strategies for:
Metadata Management
Data Lineage
Data Quality
Master Data Management
Data Security
Design solutions supporting self-service analytics and governed data consumption.
Enable enterprise-wide data democratization while maintaining governance and compliance requirements.

AI & Generative AI Solutions

Design AI-driven architectures supporting:
Machine Learning
Generative AI
Agentic AI
Intelligent Data Products
Enable AI-ready data foundations and scalable analytics platforms.
Design architectures supporting semantic data layers, AI consumption patterns, and intelligent applications.
Evaluate emerging technologies and recommend modern AI solution patterns.

Platform Leadership & Mentorship

Mentor architects, engineers, and delivery teams across multiple programs.
Provide technical leadership throughout the solution lifecycle.
Develop reusable frameworks, accelerators, standards, and architectural best practices.
Drive continuous innovation and technical excellence across engagements.

Required Qualifications

Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Science, or a related discipline, or equivalent work experience.
15-20 years of experience in Data Engineering, Analytics, Data Platforms, or Enterprise Data Architecture.
5+ years of experience leading cloud-native data engineering and modernization programs.
Strong experience leading architecture and implementation of enterprise Data & AI solutions.
Proven experience with:
Solution Architecture
Technical Pre-Sales
Estimation & Sizing
Proposal Development
Solution Defense
Expertise designing:
Data Warehouse Architectures
Data Lakes
Lakehouse Platforms
Data Mesh Architectures
Data as a Product Frameworks
Agentic AI Solutions
Generative AI Platforms
Deep expertise in ETL and Data Pipeline Architecture.
Strong understanding of:
CI/CD
DevOps
DataOps
Platform Automation
Extensive experience implementing:
Batch Processing
Streaming Data Pipelines
API Integrations
Change Data Capture (CDC)
Experience designing enterprise data governance capabilities and self-service data platforms.
Excellent communication, consulting, presentation, and stakeholder management skills.

Databricks Expertise (Must Have OR Equivalent GCP Expertise)

Candidates with Databricks expertise should demonstrate experience with:

Databricks Lakehouse Architecture
Delta Lake
Unity Catalog
Databricks Genie
Apache Spark
Performance Tuning & Optimization
Security Architecture & Implementation
Multi-Hop Data Pipelines
Scala Development
Medallion Architecture
Cluster Sizing & Optimization
Enterprise Data Platform Modernization

Google Cloud Platform (GCP) Expertise (Must Have OR Equivalent Databricks Expertise)

Candidates with Google expertise should demonstrate experience with:

Google Cloud Platform (GCP)
BigQuery
Dataproc
Dataflow
Google Gemini
Cloud-Native Data Architectures
Enterprise Security Design
Spark-Based Implementations
Multi-Hop Data Pipelines
Lakehouse Architectures
Query Performance Optimization
Scalability & Cost Optimization

Preferred Qualifications

Retail & Consumer Goods industry experience.
Experience supporting large-scale digital transformation initiatives.
Knowledge of Agentic AI and enterprise AI architectures.
Experience designing self-service data engineering platforms.
Cloud certifications in:
Databricks
Google Cloud Platform
AWS
Azure
Experience building enterprise AI and advanced analytics ecosystems.
Familiarity with semantic data layers and modern BI platforms.

Technical Expertise

Candidates should demonstrate expertise in:

Data Architecture
Cloud Data Engineering
Databricks
Google Cloud Platform (GCP)
BigQuery
Dataflow
Dataproc
Delta Lake
Unity Catalog
Apache Spark
Lakehouse Architecture
Data Mesh
Data as a Product
Data Governance
DataOps
CI/CD
Generative AI
Agentic AI
Machine Learning Platforms
Streaming Data
Change Data Capture (CDC)
Enterprise Analytics

Salary and Other Compensation

The annual salary for this position is anticipated to be between $170,000 and $200,000 USD , depending on experience, qualifications, geographic location, and other factors permitted by law.

In addition to base salary, this position may be eligible for:

Annual performance-based bonus
Merit-based compensation increases
Employee referral bonuses, where applicable

The compensation information provided is accurate as of the date of this posting. Cognizant reserves the right to modify compensation information based on business needs and applicable laws.

Benefits

Cognizant offers a comprehensive benefits package, including:

Medical, Dental, and Vision Insurance
Health Savings Account (HSA) and Flexible Spending Accounts (FSA)
Life Insurance and AD&D Coverage
Short-Term and Long-Term Disability Insurance
Paid Time Off (PTO) and Company Holidays
401(k) Plan with Company Contributions (subject to eligibility)
Employee Stock Purchase Plan (where available)
Employee Assistance Program (EAP)
Parental Leave and Family Care Benefits
Tuition Reimbursement and Professional Development Programs
Access to Learning, Certification, and Career Development Opportunities

Benefits are subject to eligibility requirements and plan terms.

Why Cognizant

Lead enterprise Data & AI transformation initiatives for global organizations.
Shape the future of modern data platforms, analytics, and AI ecosystems.
Work with cutting-edge technologies including Databricks, GCP, GenAI, and Agentic AI.
Collaborate with industry-leading architects, consultants, and engineering teams.
Access world-class learning, certifications, and leadership development opportunities.
Join a global organization committed to innovation, excellence, and client success.

Equal Opportunity Employer

Cognizant is an equal opportunity employer. We are committed to fostering an inclusive workplace where all associates feel valued, respected, and empowered to contribute their unique perspectives. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, protected veteran status, or any other characteristic protected by applicable law.

Applications will be accepted until the position is filled.

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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Jobs in the United States