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Senior Director - Enterprise Data Architect

00065415402

Job Description: Sr. Enterprise Architect

Location: PAN India

Level: Senior Director
Experience Level: over all 22 year's experience and in Data, AI, and Platform Engineering

Job Title: Enterprise Architect – AI Training Data Services

Role Overview

We are looking for a hands-on Enterprise Architect with strong technical expertise in data platforms, AI/ML lifecycle, and multi-cloud architecture (AWS, Azure, GCP). This role will define and implement the end-to-end architecture and design for Cognizant’s AI Training Data Service (AITDS) platform, ensuring it is scalable, secure, and optimized for enterprise AI readiness.

This position requires deep technical involvement—from designing architecture blueprints to selecting cloud-native services, partnering with external products and guiding implementation.

Key Responsibilities

  • Architecture Design & Implementation
    • Define the AITDS platform architecture, including data ingestion, profiling, annotation, validation, governance, and deployment workflows.
    • Design modular, API-driven components for integration with enterprise systems and cloud ecosystems.
  • Multi-Cloud Expertise
    • Select and integrate services from AWS (S3, Glue, SageMaker, Redshift), Azure (Data Factory, Synapse, Cognitive Services), and GCP (BigQuery, Vertex AI, Dataflow).
    • Optimize architecture for cost, performance, and scalability across multiple cloud providers.
  • Hands-on Technical Leadership
    • Work closely with engineering teams to implement architecture using containerization (Docker/Kubernetes), microservices, and serverless technologies.
    • Define CI/CD pipelines and DevOps practices for platform deployment.
  • Data & AI Readiness
    • Architect solutions for high-quality training data generation, annotation, and validation for AI/ML models.
    • Ensure compliance with data governance, privacy, and ethical AI standards.
  • Product & Partner Evaluation
    • Identify new tools, products, and partners to accelerate platform development.
    • Make informed build vs. buy decisions for data and AI components.
  • Innovation
    • Introduce advanced techniques like synthetic data generation, automated annotation, and AI-driven data quality checks.

Required Skills & Experience

  • Enterprise Architecture: Proven experience in designing large-scale, cloud-native platforms.
  • Multi-Cloud Expertise: Hands-on experience with AWS, Azure, and GCP services and products.
  • Data Engineering: Strong background in data pipelines, ETL, big data technologies (Spark, Hadoop).
  • AI/ML Knowledge: Deep understanding of AI/ML lifecycle and data preparation for model training.
  • Platform Engineering: Expertise in containerization (Docker/Kubernetes), microservices, and API-driven design.
  • DevOps & Automation: Experience with CI/CD pipelines, Infrastructure as Code (Terraform, CloudFormation).
  • Strategic Product Evaluation: Ability to assess third-party tools and make build vs. buy decisions.
  • Leadership: Ability to guide technical teams and ensure architectural integrity.

Preferred Qualifications

  • Experience with AI data platforms, MLOps, and data labeling tools.
  • TOGAF or similar enterprise architecture certification.
  • Advanced degree in Computer Science, Data Science, or related field.

About us
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, building the bridge 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, realize tangible returns and keep global enterprises ahead in a fast-changing world. See how at www.cognizant.com 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 [email protected] for roles based in the Americas or [email protected] for roles based in India.

Benefits that help you thrive and grow

Our benefits program is built with you in mind—so you can enjoy a fulfilling, balanced and healthy life.

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Financial wellbeing

We regularly review market data to ensure compensation reflects the value you bring. Your benefits extend beyond pay and may include retirement plans, financial education, etc.

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Physical and mental health

We empower you to prioritize your wellbeing through paid time off, flexible working where possible, healthcare plans, counselling, our Mental Health Allyship program and more. 

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Your career, your way

With 350,000+ roles at Cognizant, you’ll have opportunities explore new technologies, industries and locations—and build the skills you need to grow your career.

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Real-world impact

Think about the biggest brands you rely on. Chances are, they rely on us to help strengthen their business. Here, you’ll turn bold ideas into solutions that improve lives everywhere.

Your path to Cognizant

Here’s a peek at our hiring process. Keep in mind that not every candidate advances through each step and the process may vary by role and location. Learn more in our candidate FAQs.

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Step 1: Apply to the right opportunity

Find an open role that matches your skills and career goals and show us why you’re the person for the job. Don’t see the right opportunity? Consider joining our Talent Community.

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Step 2: Connect with your recruiter

If one of our recruiters sees a fit, they’ll set up a short intro call to learn more about you and how your experiences and skills match the role.

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Step 3: Show off your skills

If you and our team would like to continue the process, you’ll interview with our hiring team. Some roles may also require technical assessments and/or client interviews.

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Step 4: Decision time

Our team will then review each candidates’ potential to succeed in the role. This step may take some time because we want to find the right fit for both you and us—but you can count on us to keep you updated.

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