2,934 Data Management Tools jobs in India

Welcome to Warner Bros. Discovery… the stuff dreams are made of.

Who We Are…

When we say, 'the stuff dreams are made of,' we're not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD's vast portfolio of iconic content and beloved brands, are the storytellers  bringing our characters to life, the creators  bringing them to your living rooms and the dreamers  creating what's next…

From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.

Your New Role

The Director of Data Architecture will be responsible for designing and implementing enterprise data architecture solutions on various cloud technologies. This role requires extensive experience in enterprise data architecture, Master Data Management (MDM), data governance, canonical data modeling, data quality, and artificial intelligence (AI). The ideal candidate will have a deep understanding of data architecture principles and best practices and will be able to lead the development of a cohesive data strategy that aligns with business objectives.

In this role, you will ensure the scalability and performance of our data architecture to support growing data volumes and complexity. You will also focus on optimizing resources and ensuring that data architecture solutions are cost-effective and efficient. Your ability to fit within the organization and collaborate with various teams will be crucial in delivering successful data architecture projects. Additionally, you will leverage AI capabilities to enhance data processing, analysis, and decision-making.

Roles & Responsibilities

• Own the end-to-end architecture of the data platform, ensuring its efficiency, cost-effectiveness, security, and governance.
• Lead the design and implementation of enterprise data architecture solutions
• Develop and maintain a comprehensive data architecture strategy that supports business goals and objectives.
• Implement and manage Master Data Management (MDM) solutions to ensure data consistency and accuracy.
• Develop and enforce data governance frameworks to ensure data quality, security, and compliance.
• Design and implement canonical data models to standardize data across the organization.
• Ensure data quality by implementing best practices and tools for data validation, cleansing, and enrichment.
• Collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs.
• Provide technical leadership and guidance on data architecture best practices and emerging technologies.
• Oversee the integration of data from various sources into a unified data architecture.
• Ensure the scalability and performance of data architecture solutions to support growing data volumes and complexity.
• Optimize resources to ensure cost-effective and efficient data architecture solutions.
• Design and implement different data architectures, including data warehouses, data lakes, and real-time data processing systems.
• Ensure that data architecture solutions fit within the organizational structure and align with business processes.
• Leverage AI capabilities to enhance data processing, analysis, and decision-making.
• Stay up-to-date with the latest trends and technologies in data architecture and AI, and apply them to improve our data infrastructure.
• 
  

Qualifications & Experiences

• Advanced degree in Computer Science, Data Science, Engineering, or a related field
• 12+ years' experience with data platforms, cloud services (e.g., AWS, Azure, Google Cloud), and big data technologies
• Extensive experience with AWS services, Snowflake and its ecosystem
• Strong expertise in enterprise data architecture, Master Data Management (MDM), data governance, canonical data modeling, data quality, and AI.
• Experience in Media and Entertainment industry is preferred.
• Excellent leadership and team management skills.
• Strong problem-solving and analytical skills.
• Proven leadership skills with experience managing high-performing teams across multiple locations and disciplines
• Excellent communication, negotiation, and interpersonal skills, capable of building strong relationships across all levels of an organization
• Recognized thought leader in the field of enterprise data architecture, with contributions to industry discussions, publications, or conferences
• 
  

How We Get Things Done…

This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.

Championing Inclusion at WBD

Warner Bros. Discovery embraces the opportunity to build a workforce that reflects the diversity of our society and the world around us. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law.

If you're a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request

Skills Required
Aws Services, snowflake

Relocation Assistance Offered Within Country

Job Number #166340 - Mumbai, Maharashtra, India

Who We Are

Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing 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, lets build a brighter, healthier future for all.

About Colgate-Palmolive

Do you want to come to work with a smile and leave with one as well In between those smiles, your day consists of working in a global organization, continually learning and collaborating, having stimulating discussions, and making impactful contributions! If this is how you see your career, Colgate is the place to be! Our diligent household brands, dedicated employees, and sustainability commitments make us a company passionate about building a future to smile about for our employees, consumers, and surrounding communities. The pride in our brand fuels a workplace that encourages creative thinking, champions experimentation, and promotes authenticity which has contributed to our enduring success. If you want to work for a company that lives by their values, then give your career a reason to smile.every

The Experience:

In today s multifaceted technology environment, it is an exciting time to be a part of the CBS Data Architecture team at Colgate.

Our highly technical and innovative team is dedicated to driving growth for Colgate Palmolive in this constantly evolving landscape.

What role will you play as a member of the Colgate s Data Architecture Team

The candidate will support Colgate Business teams across the globe by providing Data & Analysis support. The role requires a person to have understanding of Internal & external data (Syndicated Market Data, Point of Sales etc.) and ability to develop and support the Analytical / Insights based Service & solutions. Great to have an understanding of necessary Data Transformation & Data Visualization Tools and Technologies to drive the service and solutions.

The Person should be Analytical problem solver with the ability to work on large data sets, collaborative and customer focused (proactive and Responsive to Business needs) and Effective in Written and verbal communication skills.

Who are you

You are a function expert -

• Supports data harmonization process set up and business as usual across all CP countries and categories to ensure standardization across varied data sets
• Create ETL and ELT pipelines for various in house tools
• Build & support standard Business evaluation Trackers & Dashboards per agreed to SLAs and ideate essential report automations
• Snowflake database configuration and pipelining
• Creating End to End Data Pipelines leveraging GCS, Snowflake, Airflow and DBT
• Data Sanity is essential so validating the trackers and dashboards to ensure that consistency is maintained over different reporting cycles
• Work on different datasets & systems (Marketing, Customers, Product masters, Finance, Digital, Point of Sales) and link the business rationales to develop & support Analytical solutions
• Support / contribute to analytics projects (Technical Migrations) with proper tools, consultancy and analysis.

You are a collaborator -

• You will engage with Business teams in Corporate, Divisions, Hub (Cluster of Countries) and countries to understand business requirements and collaborate on solutions
• Work with Internal Analytics teams & Information technology teams to learn and advance on developing sustainable and standard reporting trackers
• Partner with external data vendors to ensure timely data availability with appropriate data sanity i.e. Nielsen, Kantar. Manage the contracts and set performance KPIs and conduct quarterly/annual reviews of data providers

You are an innovator -

• With a constantly evolving business environment, you will find out different ways to tackle the business problem through Analytical solutions (Data transformation, Data Visualization, Data Insights)

What you ll need (Required)

• Bachelor of Engineering/Sciences , MBA
• 1-2 Years of experience in an ETL / Automation Role
• Knowledge of Data Transformation tools - R/Python/ SQL/Cloud solutions ( GCP/Snowflake )/Google Apps
• Working knowledge of visualization tools like Tableau, DOMO, Datastudio
• Ability to Read , Analyze and Visualize data
• Effective Verbal & Written Communication for Business engagement

What you ll need (Preferred)

• Experience with third-party data i.e. syndicated market data (Nielsen, Kantar, IRI) , Point of Sales, etc.
• 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 Diversity, Equity & Inclusion

Achieving our purpose starts with our people ensuring our workforce represents the people and communities we serve and creating an environment where our people feel they belong; where we can be our authentic selves, feel treated with respect and have the support of leadership to impact the business in a meaningful way.

Equal Opportunity Employer

Please complete this request form should you require accommodation.

Skills Required
Data Visualization, Data Architecture, Data Analysis, Automation, Sql

Key Responsibilities

•   Contribute to the development and execution of the data architecture strategy, ensuring alignment with the bank's strategy on data, technology roadmap and business goals.

•   Design and document data models, architectural patterns, and integration approaches. 

•   Evaluate and recommend data technologies, tools, platforms, and analytics tools.

•   Ensure architectural consistency across domains and platforms. 

•   Collaborate with business and IT stakeholders to develop technology policies, standards, guidelines and best practices for effective data management and data governance aligned to the data governance and data management policies, standards and guidelines as defined by the Chief Data Office (CDO).

•   Help communicate architectural decisions in a clear, business-relevant manner.

•   Translate business requirements into technical data architecture solutions.

•   Support the definition of strategic data roadmap.

Skills and Experience

•   Degree in Computer Science or equivalent with 20 or more years of total experience.

•   Minimum 8 - 10 Years of experience in Architecture

•   Knowledge of Client Data, Data Risk and compliance, Data warehousing, Reporting in Finance, 

•   Must have Banking Domain expertise.

•   Expertise in designing logical, physical, and conceptual data models.

•   Demonstrated experience in designing and implementing large-scale, enterprise level data systems. 

•   Understanding of data governance tools and frameworks and regulatory compliance standards

•   Experience in large, complex organisations, ability to handle cultural diversity and managing senior stakeholders.

•   Strong interpersonal skills to work effectively with technical and non-technical stakeholders. 

•   Experience in regulatory expertise like GDPR, AML, KYC, Financial Regulatory Reporting, and Core Banking is a critical differentiator.

•   Strong knowledge of the banking and financial services industry.

Skills Required
Architecture, Data Warehousing, Reporting, Risk Management

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

Requisition ID R-10358184 Date posted 08/18/2025 End Date 08/26/2025 City Pune State/Region Maharashtra Country India Location Type Onsite

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

Specialist, Data Architecture

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

Develop, implement, and optimize generative models (e.g., GANs, VAEs) for various applications.

Conduct research and stay updated with the latest advancements in generative AI and deep learning.

Collaborate with cross-functional teams to identify opportunities for leveraging generative AI in our products.

Design and optimize prompts used in AI models to improve output quality and relevance.

Analyze model performance and user data to refine prompt strategies.

Analyze and preprocess large datasets to train and validate models effectively.

Create and maintain documentation for algorithms, methodologies, and processes.

Provide training and support to internal teams on generative AI technologies.

What you will need to have :

Bachelor's or Master’s degree in Computer Science, Data Science, AI, or a related field.

6-8 years of experience in AI/ML, with a strong focus on generative models and prompt engineering.

Proficiency in programming languages such as Python or R.

Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and libraries.

Strong understanding of machine learning algorithms and statistical analysis.

Excellent problem-solving skills and ability to work in a fast-paced environment.

Strong communication skills to articulate complex ideas to non-technical stakeholders.

What would be great to have

Experience in the financial services industry is a plus.

Familiarity with natural language processing (NLP) or computer vision (CV) applications.

Contributions to open source projects or published research in generative AI.

Apply using your legal name

Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable).

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. 

Note to agencies:

Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions.

Warning about fake job posts:

Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address.

 Job Description

Basic Qualifications for consideration:

• 7+ Overall industry experience
• 5+ years' experience with building large scale big data applications development
• Bachelors in Computer Science or related field
• Provide technical leadership in developing data solutions and building frameworks
• Experience building Data Lake, data applications and micro-services using Azure, AWS and Hands-on experience in cloud Data stack (preference is Azure)
• Hands-on experience with Springboot framework, MVC architecture, Hibernate, API creation, Restful services, SOAP using Java
• Java experience with OOPS concepts, multithreading
• Experience deploying code on containers
• Hands on experience with leveraging CI/CD to rapidly build & test application code
• Conduct code reviews and strive for improvement in software engineering quality
• Review data architecture and develop detailed implementation design
• Hands-on experience in production rollout and infrastructure configuration
• Demonstrable experience of successfully delivering big data projects using Kafka, Spark
• Experience working on NoSQL Databases such as Cassandra, HBase, DynamoDB, and Elastic Search
• Experience working with PCI Data and working with data scientists is a plus
• In depth knowledge of design principles and patterns
• Able to tune big data solutions to improve performance

Preferred Skills, Experience and Education:

• Exposure to Talend Big Data edition and solutions a strong plus
• Exposure to Relational Modeling, Dimensional Modeling, and Modeling of Unstructured Data
• Bachelors in Computer Science or related field
• Experience in Design and architecture review

Experience in Banking, Financial domain

Skills Required
Oops, Big Data, Data Lake

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

**ABOUT AMGEN**
Amgen harnesses the best of biology and technology to fight the world's toughest diseases, and make people's lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what's known today.
**ABOUT THE ROLE**
**Role Description:**
The Director for Data Architecture and Solutions will lead Amgen's enterprise data architecture and solutions strategy, overseeing the design, integration, and deployment of scalable, secure, and future-ready data systems. This leader will define the architectural vision and guide a high-performing team of architects and technical experts to implement data and analytics solutions that drive business value and innovation.
This role demands a strong blend of business acumen, deep technical expertise, and strategic thinking to align data capabilities with the company's mission and growth. The Director will also serve as a key liaison with executive leadership, influencing technology investment and enterprise data direction
.
**Roles & Responsibilities:**
+ Develop and own the enterprise data architecture and solutions roadmap, aligned with Amgen's business strategy and digital transformation goals.
+ Provide executive leadership and oversight of data architecture initiatives across business domains (R&D, Commercial, Manufacturing, etc.).
+ Lead and grow a high-impact team of data and solution architects. Coach, mentor, and foster innovation and continuous improvement in the team.
+ Design and promote modern data architectures (data mesh, data fabric, lakehouse etc.) across hybrid cloud environments and enable for AI readiness.
+ Collaborate with stakeholders to define solution blueprints, integrating business requirements with technical strategy to drive value.
+ Drive enterprise-wide adoption of data modeling, metadata management, and data lineage standards.
+ Ensure solutions meet enterprise-grade requirements for security, performance, scalability, compliance, and data governance.
+ Partner closely with Data Engineering, Analytics, AI/ML, and IT Security teams to operationalize data solutions that enable advanced analytics and decision-making.
+ Champion innovation and continuous evolution of Amgen's data and analytics landscape through new technologies and industry best practices.
+ Communicate architectural strategy and project outcomes to executive leadership and other non-technical stakeholders.
**Functional Skills:**
**Must-Have Skills:**
+ 10+ years of experience in data architecture or solution architecture leadership roles, including experience at the enterprise level.
+ Proven experience leading architecture strategy and delivery in the life sciences or pharmaceutical industry.
+ Expertise in cloud platforms (AWS, Azure, or GCP) and modern data technologies (data lakes, APIs, ETL/ELT frameworks).
+ Strong understanding of data governance, compliance (e.g., HIPAA, GxP), and data privacy best practices.
+ Demonstrated success managing cross-functional, global teams and large-scale data programs.
+ Experience with enterprise architecture frameworks (TOGAF, Zachman, etc.).
+ Proven leadership skills with a track record of managing and mentoring high-performing data architecture teams.
**Good-to-Have Skills:**
+ Master's or doctorate in Computer Science, Engineering, or related field.
+ Certifications in cloud architecture (AWS, GCP, Azure).
+ Experience integrating AI/ML solutions into enterprise Data Achitecture.
+ Familiarity with DevOps, CI/CD pipelines, and Infrastructure as Code (Terraform, CloudFormation).
+ Scaled Agile or similar methodology experience.
**Leadership and Communication Skills:**
+ Strategic thinker with the ability to influence at the executive level.
+ Strong executive presence with excellent communication and storytelling skills.
+ Ability to lead in a matrixed, global environment with multiple stakeholders.
+ Highly collaborative, proactive, and business-oriented mindset.
+ Strong organizational and prioritization skills to manage complex initiatives.
+ High degree of initiative and self-motivation.
+ Ability to manage multiple priorities successfully.
**Basic Qualifications:**
+ Doctorate degree and 2 years of Information Systems experience, or
+ Master's degree and 6 years of Information Systems experience, or
+ Bachelor's degree and 8 years of Information Systems experience, or
+ Associates degree and 10 years of Information Systems experience, or
+ 4 years of managerial experience directly managing people and leadership experience leading teams, projects, or programs.

Position Overview  This role is responsible for defining and delivering ZURU’s next-generation data architecture—built for global scalability, real-time analytics, and AI enablement. You will lead the unification of fragmented data systems into a cohesive, cloud-native platform that supports advanced business intelligence and decision-making.Sitting at the intersection of data strategy, engineering, and commercial enablement, this role demands both deep technical acumen and strong cross-functional influence. You will drive the vision and implementation of robust data infrastructure, champion governance standards, and embed a culture of data excellence across the organisation.Position Impact In the first six months, the Head of Data Architecture will gain deep understanding of ZURU’s operating model, technology stack, and data fragmentation challenges. You’ll conduct a comprehensive review of current architecture, identifying performance gaps, security concerns, and integration challenges across systems like SAP, Odoo, POS, and marketing platforms.By month twelve, you’ll have delivered a fully aligned architecture roadmap—implementing cloud-native infrastructure, data governance standards, and scalable models and pipelines to support AI and analytics. You will have stood up a Centre of Excellence for Data, formalised global data team structures, and established yourself as a trusted partner to senior leadership.

What are you Going to do?

Lead Global Data Architecture: Own the design, evolution, and delivery of ZURU’s enterprise data architecture across cloud and hybrid environments.

Consolidate Core Systems: Unify data sources across SAP, Odoo, POS, IoT, and media into a single analytical platform optimised for business value.

Build Scalable Infrastructure: Architect cloud-native solutions that support both batch and streaming data workflows using tools like Databricks, Kafka, and Snowflake.

Implement Governance Frameworks: Define and enforce enterprise-wide data standards for access control, privacy, quality, security, and lineage.

Enable Metadata & Cataloguing: Deploy metadata management and cataloguing tools to enhance data discoverability and self-service analytics.

Operationalise AI/ML Pipelines: Lead data architecture that supports AI/ML initiatives, including demand forecasting, pricing models, and personalisation.

Partner Across Functions: Translate business needs into data architecture solutions by collaborating with leaders in Marketing, Finance, Supply Chain, R&D, and Technology.

Optimize Cloud Cost & Performance:  Roll out compute and storage systems that balance cost efficiency, performance, and observability across platforms.

Establish Data Leadership: Build and mentor a high-performing data team across India and NZ, and drive alignment across engineering, analytics, and governance.

Vendor and Tool Strategy: Evaluate external tools and partners to ensure the data ecosystem is future-ready, scalable, and cost-effective.

What are we Looking for?

8+ years of experience in data architecture, with 3+ years in a senior or leadership role across cloud or hybrid environments

Proven ability to design and scale large data platforms supporting analytics, real-time reporting, and AI/ML use cases

Hands-on expertise with ingestion, transformation, and orchestration pipelines ( Kafka, Airflow, DBT, Fivetran)

Strong knowledge of ERP data models, especially SAP and Odoo

Experience with data governance, compliance (GDPR/CCPA) , metadata cataloguing, and security practices

Familiarity with distributed systems and streaming frameworks like Spark or Flink

Strong stakeholder management and communication skills, with the ability to influence both technical and business teams

Experience building and leading cross-regional data teams

Tools & Technologies

Cloud Platforms: AWS (S3, EMR, Kinesis, Glue), Azure (Synapse, ADLS), GCP

Big Data: Hadoop, Apache Spark, Apache Flink

Streaming: Kafka, Kinesis, Pub/Sub

Orchestration: Airflow, Prefect, Dagster, DBT

Warehousing: Snowflake, Redshift, BigQuery, Databricks Delta

NoSQL: Cassandra, DynamoDB, HBase, Redis

Query Engines: Presto/Trino, Athena

IaC & CI/CD: Terraform, GitLab Actions

Monitoring: Prometheus, Grafana, ELK, OpenTelemetry

Security/Governance: IAM, TLS, KMS, Amundsen, DataHub, Collibra, DBT for lineage

 What do we Offer?   Competitive compensation ⌛️ 5 Working Days with Flexible Working Hours

About KPMG in India

KPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada.

KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment.
Data Governance

Equal employment opportunity information

KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability or other legally protected status. KPMG India values diversity and we request you to submit the details below to support us in our endeavor for diversity. Providing the below information is voluntary and refusal to submit such information will not be prejudicial to you.
/ / Post Graduate