4,723 Data Architecture jobs in India

You deserve to do what you love, and love what you do – a career that works as hard for you as you do. At Fiserv, we are more than 40,000 #FiservProud innovators delivering superior value for our clients through leading technology, targeted innovation and excellence in everything we do. You have choices – if you strive to be a part of a team driven to create with purpose, now is your chance to Find your Forward with Fiserv.

Responsibilities

Calling all innovators – find your future at Fiserv.

We’re Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants, and consumers to one another millions of times a day – quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we’re involved. If you want to make an impact on a global scale, come make a difference at Fiserv.

Job Title

What does a great AI/ML Engineer do?
We are seeking a highly skilled Generative AI Specialist with 6-8 years of extensive experience in AI and machine learning, focusing on generative models and prompt engineering. The successful candidate will work collaboratively within our team to design, implement, and optimize generative AI solutions that enhance our product offerings and provide value to our clients.

What You will do

What you will need to have :

What would be great to have

Our commitment to Diversity and Inclusion:

Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law. 

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What are you Going to do?

What are we Looking for?

Tools & Technologies

Relocation Assistance Offered Within Country
Job Number #168159 - Mumbai, Maharashtra, India

Who We Are

Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specialising in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name!

Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all.
 

Title: Sr. Analyst, Data Architecture 

Brief introduction - Role Summary/Purpose :

• The candidate will collaborate with Colgate Business teams and CBS Analytics to identify and develop high-impact use cases utilizing Prompt Engineering. 
• This position requires a strong foundation in Artificial Intelligence, Machine Learning, and Generative AI. 
• The ideal candidate is an analytical problem solver skilled at working with large data sets, demonstrates a collaborative and customer-centric approach (proactive and responsive to business needs), and possesses strong written and verbal communication abilities. Additionally, the candidate should have a passion for continuous learning and driving innovation to unlock new business opportunities.

Responsibilities :

• Design, develop and refine AI-generated text prompts for various applications

• Collaborate with content creators, product teams and data scientists to ensure prompt alignment with company goals and user needs

• Monitor and analyze prompt performance to identify areas for improvement

• Optimize AI prompt generation process to enhance overall system performance

• Stay up-to-date on the latest advancements in AI, natural language processing and machine learning

• Provide support to teams in understanding prompt engineering best practices

Required  Qualifications :

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field

• 1 Year of Experience with prompt engineering for large language models (LLMs) including Gemini, GPT, Llama, and Claude is preferred

• Comprehensive understanding of Artificial Intelligence, Machine Learning, and generative AI platforms

• Knowledge of Data Transformation tools - R/Python/ SQL/DBT/Cloud solutions ( GCP/Snowflake )

• Working knowledge of visualization tools like SIgma,Tableau, DOMO, Data studio,

• Ability to Read , Analyze and Visualize data 

• Effective Verbal & Written Communication for Business engagement

Preferred Qualifications:

• Excellent problem-solving and analytical skills

• Ability to collaborate effectively with cross-functional teams

• Working knowledge of consumer packaged goods industry

• Understanding of Colgate’s processes, and tools supporting analytics (for internal candidates)

• Willingness and ability to experiment with new tools and techniques 

• Good facilitation and project management skills

Our Commitment to Inclusion
Our journey begins with our people—developing strong talent with diverse backgrounds and perspectives  to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business.

Equal Opportunity Employer
Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law.

Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form should you require accommodation.

#LI-Hybrid

Product Owner Data Architecture

About the Role

A Snapshot of Your Day

Lead all aspects of Data Architecture at Siemens Energy. Engage with teams to maintain high data standards.

How You’ll Make an Impact

What You Bring

Our Purpose

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.

Title and Summary

Vice President of Data Architecture

Overview:
Mastercard’s Data & Analytics organization is undergoing a bold transformation to modernize our global data ecosystem—unlocking value through secure, scalable, and compliant data capabilities. As we build the next generation of data platforms, we are seeking a visionary and results-oriented Vice President of Data Architecture to lead the transformation of Mastercard’s enterprise data landscape.
This is a foundational leadership role responsible for defining how data is collected, organized, governed, and distributed across Mastercard’s global infrastructure. Reporting to the EVP of Data & Analytics, this leader will shape architectural frameworks and standards that drive product innovation, operational excellence, and regulatory compliance across a hybrid cloud environment.

Role:
Data Architecture Strategy & Execution
• Lead the design and execution of Mastercard’s enterprise data architecture strategy across a complex, global ecosystem.
• Drive modernization from legacy and on-prem systems to modern, cloud-native and hybrid data platforms.
• Architect scalable and secure data solutions that meet evolving regulatory requirements (e.g., ISO 20022, data localization, GDPR).
• Create reusable, domain-oriented data models that promote consistency, interoperability, and self-service across business units.
• Define and implement architectural patterns supporting both real-time and batch data processing across relational and non-relational systems.
• Lead adoption of modern data principles including Data Mesh, data products, and federated governance.
Governance, Alignment & Agile Integration
• Chair the Data & Analytics Architecture Review Board to ensure alignment across programs and domains.
• Collaborate with Mastercard’s Architecture, Security, and Engineering organizations to embed data architecture into enterprise-wide standards.
• Apply Agile methodologies and practices to data architecture initiatives, enabling iterative delivery, rapid feedback, and cross-functional collaboration.
• Represent the Data & Analytics function in enterprise architecture councils, steering committees, and executive planning forums.
Cross-Functional Leadership & People Development
• Lead and scale a high-performing team of data architects and technical experts with deep experience in distributed systems, cloud platforms, and data modeling.
• Mentor and develop talent across various levels while fostering a culture of architectural excellence, innovation, and continuous improvement.
• Act as a trusted advisor to senior business, product, and engineering leaders—bridging technical strategy with enterprise priorities.
• Build relationships and communicate effectively with internal and external stakeholders, including C-suite executives, to influence data-driven strategies and decision-making.

All About You:
• Prior leadership experience in Director or Vice President roles overseeing enterprise data architecture, data engineering, or data platform strategy.
• Deep expertise in building and modernizing distributed data platforms using technologies such as Apache Spark, Kafka, Flink, NiFi, and Cloudera/Hadoop.
• Hands-on proficiency with modern data platforms and tools including Databricks, Snowflake, Delta Lake, and Redshift.
• Proven experience designing and operating real-time and batch data pipelines in hybrid and cloud-native environments (AWS, Azure, GCP).
• Understanding of Data Mesh principles, federated governance, and data product lifecycle management.
• Demonstrated experience working in Agile environments, leveraging modern delivery practices like scrum, SAFe, or product-centric models.
• Proven success leading large-scale data transformations and platform modernization initiatives in highly regulated industries such as Payments, Fintech, or Banking.
• Deep understanding of card data flows, merchant ecosystems, and frameworks including ISO 20022 and data localization mandates.
• Proven track record of driving organizational change, platform migrations, and enterprise-wide architecture adoption.
• Strong executive presence and the ability to translate complex architecture concepts into business language for senior leadership.
• Experience leading global, cross-functional teams, and managing high-performing technical talent.
• Demonstrated ability to influence at all levels of the organization, including C-level stakeholders, with excellent communication and relationship-building skills.
• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related technical field required.

#LI-NF1

Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.

Corporate Security Responsibility

All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:

• Abide by Mastercard’s security policies and practices;

• Ensure the confidentiality and integrity of the information being accessed;

• Report any suspected information security violation or breach, and

• Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

In line with Mastercard’s total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary based on location, experience and other qualifications for the role and may be eligible for an annual bonus or commissions depending on the role. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance), flexible spending account and health savings account, paid leaves (including 16 weeks new parent leave, up to 20 paid days bereavement leave), 10 annual paid sick days, 10 or more annual paid vacation days based on level, 5 personal days, 10 annual paid U.S. observed holidays, 401k with a best-in-class company match, deferred compensation for eligible roles, fitness reimbursement or on-site fitness facilities, eligibility for tuition reimbursement, gender-inclusive benefits and many more.

Pay Ranges

Arlington, Virginia: $230,000 - $68,000 USD

Boston, Massachusetts: 230,000 - 368,000 USD

Miami, Florida: 200,000 - 320,000 USD

Purchase, New York: 230,000 - 368,000 USD