5,003 Data Architecture jobs in India
Data Architecture
Posted 1 day ago
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Job Description
About Company :
Our client is a trusted global innovator of IT and business services. They help clients transform through consulting, industry solutions, business process services, digital & IT modernization and managed services. Our client enables them, as well as society, to move confidently into the digital future. We are committed to our clients’ long-term success and combine global reach with local client attention to serve them in over 50 countries around the globe.
· Job Title: Data Architecture
· Location: Bangalore
· Experience: 5+ yrs
· Job Type : Contract to hire.
· Notice Period:- Immediate joiners.
Mandatory Skills:
Mode- hybrid, twice in a week
Shift- 1 to 11 pm
must have-
5-10 yrs of experience in Life Insurance & Annuities Domain
Exposure in creating data maps for policy master, agency master, claims master etc.
Exposure if Data Architecture, Data model desiging, Data extraction, Data validation
Skills:
10+ years of experience in Life Insurance & Annuities Domain
6+ yrs relevant exp in Data Architecture
Strong knowledge of Life Insurance functional and business process for USA market
Strong knowledge of Life policy end to end cycle and transactions
Strong understanding of Life Insurance Data and mapping and migration
Exposure in creating data maps for policy master, agency master, claims master etc.
Exposure if Data Architecture, Data model desiging, Data extraction, Data validation
Excellent communication and stakeholder’s management skills.
Specialist, Data Architecture
Posted 1 day ago
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Job Description
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
+ Experience on SSIS/SQL(4-7) years and will be responsible for the development of ETL and Reporting solutions
+ Strong Knowledge of SSIS packages, design principles & best practices.
+ Experience with requirements gathering, technical analysis, and writing technical specifications
+ Candidate must have strong database fundamentals.
+ Must have good knowledge of Data Warehousing & Data Modelling Concepts.
+ Good communication skills are required.
+ Capability to work in a distributed team environment with minimal supervision is required for this profile.
+ The position doesn't require working in shifts, however flexibility to overlap with US hours is required.
+ Should have good knowledge in writing SQL commands, queries and stored procedures
+ Good Knowledge of Snowflake would be preferred.
+ Good Knowledge of Python/Pyspark would be preferred
Thank you for considering employment with Fiserv. Please:
+ 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.
Data Architecture Expert
Posted today
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Job Description
We are seeking a skilled Data Architect to lead our finance team's data strategy. This role involves designing and implementing end-to-end data and analytics solutions that drive business value.
Responsibilities:
- Develop technical solutions for scalable analytical solutions leveraging cloud and big data technologies
- Design and drive end-to-end data and analytics solution architecture
- Develop conceptual/logical/physical data models for analytics solutions
- Ensure industry-accepted data architecture principles are integrated
- Provide mentoring on data architecture design and requirements
- Review solution requirements and architecture for technology selection and resource efficiency
Requirements
To be successful in this role, you will need demonstrated experience delivering multiple data solutions, ETL development, SQL Server, Azure Synapse, and HDInsights. An advanced study/knowledge in computer science or software engineering is also necessary.
What We Offer
Our organization offers a dynamic work environment with opportunities for growth and development. We encourage innovation, teamwork, and continuous learning.
Why Choose Us
Join us to make a meaningful impact on our organization's success. Together, we can drive business outcomes through data-driven insights.
Data Architecture Specialist
Posted today
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About Us
We are a leading engineering company that delivers business outcomes for hundreds of enterprises globally.
Our Expertise- Data and AI/ML Engineering
- Cybersecurity Solutions
- SDx and Digital Workspace Services
We offer a range of services including Professional and Advisory Services, Managed Services, and Talent Acquisition & Platform Resell Services.
Job Description:
The successful candidate will be responsible for building additional platform capabilities, optimizing, and maintaining robust data pipelines and platforms that empower data-driven decision-making across the organization.
Responsibilities:
- Collaborate with stakeholders during requirements clarification and sprint planning sessions to ensure alignment with business objectives.
- Design and implement technical solutions, including ETL pipelines, leveraging PySpark to extract, transform, and load data efficiently.
- Build solutions to integrate two main data platforms (Palantir Foundry & Databricks)
- Integrate the data platforms with other platforms, including incident and monitoring tools, identity management, data observability, etc.
- Optimize existing ETL processes for improved performance, scalability, and reliability.
- Develop and maintain unit and integration tests to ensure quality and resilience.
- Provide support to QA teammates during the acceptance process.
- Resolve production incidents as a third-line engineer, ensuring system stability and uptime.
Required Skills and Qualifications:
- Bachelor's degree in IT or a related field.
- Minimum 8 years in IT/Data-related roles.
Technical Expertise:
- Proficient in PySpark for distributed computing and Python for ETL development.
- Advanced SQL skills for writing and optimizing complex queries.
- Familiarity with ETL tools, processes, and data warehousing platforms, particularly Databricks.
- Solid understanding of data modeling, including dimensional modeling, normalization, and schema design.
- Experienced with version control tools such as Git.
- Knowledge of monitoring tools to track and optimize pipeline performance.
- Knowledge of scheduling tools.
- Proficiency in data freshness and quality frameworks.
- Agile Methodologies: Comfortable with Agile practices, including sprint planning, stand-ups, and retrospectives.
- Collaboration Tools: Skilled in using Azure DevOps for team collaboration and project management.
- Problem-Solving: Strong debugging and troubleshooting abilities for complex data engineering issues.
- Communication: Exceptional written and verbal communication skills, with the ability to articulate technical concepts to non-technical stakeholders.
This role requires a passionate and motivated individual with extensive experience in data platform engineering, ETL development, and expertise in PySpark and Python. Good communications skills are a must and candidates need to be articulate, precise, and concise.
Data Architecture Professional
Posted today
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Role Summary:
Our organisation is seeking a highly skilled and experienced Data Architecture Professional to join our team. As a key member of our technology department, you will be responsible for designing, developing, and supporting conceptual/logical/physical data models for analytics solutions.
Key Responsibilities:
- Develop technical solutions to deliver scalable analytical solutions leveraging cloud and big data technologies.
- Design, develop, and support conceptual/logical/physical data models for analytics solutions.
- Ensure industry-accepted data architecture principles are integrated with allied disciplines and coordinated roll-out strategies are in place.
- Drive the design, sizing, setup of Azure environments and related services.
- Provide mentoring on data architecture design and requirements to development and business teams.
- Advise on new technology trends and possible adoption to maintain competitive advantage.
- Participate in pre-sales activities and publish thought leaderships.
- Work closely with founders to drive technology strategy for organisation.
- Lead technology team recruitments in various areas of data analytics.
Requirements:
To succeed in this role, you will need:
- 10+ years experience delivering multiple data solutions.
- Experience with ETL development using SSIS, Data Factory, and related Microsoft technologies.
- In-depth skills with SQL Server, Azure Synapse, Azure Databricks, HDInsights, Azure Data Lake.
- Experience with different data models like normalised, de-normalized, stars, and snowflake models.
- Data Quality Management (Microsoft DQS) and Data Architecture standardization experience.
- Advanced study/knowledge in computer science or software engineering.
- Familiarity with principles and practices involved in development and maintenance of software solutions.
What We Offer:
Our organisation offers a dynamic and supportive work environment, opportunities for career growth and professional development, and a competitive salary and benefits package.
Data Architecture Manager
Posted today
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Job Title: Senior Data Architect – OSS
Minimum - 10+ years of hands-on experience in data architecture, data modelling, and designing large-scale data platforms.
Location: Bangalore (Onsite)
Why should you choose us?
Rakuten Symphony is a Rakuten Group company, that provides global B2B services for the mobile telco industry and enables next-generation, cloud-based, international mobile services. Building on the technology Rakuten used to launch Japan’s newest mobile network, we are taking our mobile offering global. To support our ambitions to provide an innovative cloud-native telco platform for our customers, Rakuten Symphony is looking to recruit and develop top talent from around the globe. We are looking for individuals to join our team across all functional areas of our business – from sales to engineering, support functions to product development. Let’s build the future of mobile telecommunications together!
What Do We Expect From You
As a Senior Data Architect within Product Architecture, you will address the critical challenge of a fragmented data model across our various teams. This pivotal role is responsible for unifying disparate data sources - including telemetry, service graphs, and Root Cause Analysis (RCA) inputs - into a single, coherent, and consistent data model. This foundational work is a prerequisite for advancing our capabilities in Generative AI, comprehensive observability, and robust service assurance, enabling a truly data-driven approach across our product portfolio.
Responsibilities:
Unified Data Model Design & Ownership:
- Lead the architectural design and implementation of a unified data model that consolidates telemetry, service graphs, RCA, and other critical operational data.
- Define conceptual, logical, and physical data models that support diverse product needs while ensuring consistency and interoperability.
- Establish and maintain data architecture standards, principles, and best practices across the product organization.
Data Integration & Pipeline Architecture:
- Architect scalable and efficient data pipelines for ingesting, transforming, and harmonizing data from various heterogeneous sources.
- Design robust data integration patterns (e.G., streaming, batch processing) to ensure data availability and freshness for downstream consumers.
- Ensure data quality, integrity, and security throughout the data lifecycle.
Enabling AI, Observability & Assurance:
- Ensure the unified data model serves as a foundational prerequisite for GenAI applications, providing clean, contextualized data for training and inference.
- Design data structures and access patterns that enhance observability capabilities, enabling real-time monitoring, analytics, and alerting.
- Architect data solutions that power advanced service assurance functionalities, enabling accurate fault correlation, root cause analysis, and performance management.
Data Governance & Lifecycle Management:
- Collaborate with data governance teams to establish data ownership, definitions, and stewardship across product domains.
- Define data retention policies, archiving strategies, and data lifecycle management processes.
- Ensure compliance with data privacy regulations and security best practices.
Technical Leadership & Collaboration
- Provide senior technical leadership and guidance to engineering teams on data modelling, database technologies, and data architecture best practices.
- Work closely with other architects (AIML, Observability, Workflow Management), data scientists, and product managers to understand data requirements and deliver impactful solutions.
- Champion a data-first mindset and promote data literacy across the organization.
Qualifications :
- 10+ years of hands-on experience in data architecture, data modelling, and designing large-scale data platforms.
- Proven track record of unifying fragmented data landscapes and building robust, scalable data models for complex domains.
- Expertise in designing data solutions that support real-time analytics, observability, and machine learning applications.
- Strong background in architecting data pipelines and integration strategies for high-volume, diverse data sources.
Technical Skills
- Deep expertise in relational, NoSQL databases (e.G., Cassandra, ClickHouse) and TSDB (e.G., Cortex, VictoriaMetrics, etc.)
- Strong experience with stream processing technologies (e.G., Kafka, Flink, Spark Streaming) and batch processing (e.G., Apache Spark).
- Proficient in data modelling techniques (dimensional, relational, graph) and data schema design.
- Knowledge of data governance frameworks and tools.
- Proficient in SQL and at least one relevant programming language.
Domain Knowledge
- Familiarity with telecom operational data, including network telemetry, service topology/graphs, and alarm/event data.
Analytical and Problem-Solving Skills
- Exceptional analytical skills to identify data relationships, inconsistencies, and design optimal data structures.
- Strong problem-solving abilities for complex data integration and quality challenges.
Collaboration & Communication
- Excellent written and verbal communication skills, able to articulate complex data architectural concepts to technical and business stakeholders.
- Proven ability to collaborate effectively with cross-functional teams, driving consensus on data standards.
Educational Background
- Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related technical field.
RAKUTEN SHUGI PRINCIPLES :
Our worldwide practices describe specific behaviours that make Rakuten unique and united across the world. We expect Rakuten employees to model these 5 Shugi Principles of Success.
- Always improve, always advance . Only be satisfied with complete success - Kaizen.
- Be passionately professional . Take an uncompromising approach to your work and be determined to be the best.
- Hypothesize - Practice - Validate - Shikumika. Use the Rakuten Cycle to success in unknown territory.
- Maximize Customer Satisfaction . The greatest satisfaction for workers in a service industry is to see their customers smile.
- Speed! Speed! Speed! Always be conscious of time. Take charge, set clear goals, and engage your team.
Data Architecture Specialist
Posted today
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Job Overview:
We are seeking a highly skilled Technical Architect with 12+ years of experience to oversee and guide the development of advanced data architectures, business intelligence solutions, and ETL workflows using Azure Data Bricks (ADB), Power BI, and related technologies. This is a strategic role in which you will collaborate with cross-functional teams to design robust, scalable, and efficient data systems that meet business objectives.
Key Responsibilities:
- Architecture Design & Strategy:
- Lead the design and architecture of data pipelines, ETL workflows, and BI solutions leveraging Azure Data Bricks (ADB) and Power BI.
- Develop high-level solutions, ensuring scalability, performance, and cost-effectiveness.
- Create data models, schemas, and architecture blueprints for various business units.
- Guide and mentor teams in implementing best practices for data processing, transformation, and storage.
- ETL Solutions:
- Design, develop, and optimize ETL workflows using Azure Data Bricks, Azure Data Factory, and other Azure services.
- Integrate data from multiple sources into a centralized data lake or warehouse for reporting and analytics.
- Ensure ETL processes are efficient, automated, and error-free.
- Business Intelligence & Reporting:
- Lead the implementation of Power BI solutions for reporting, dashboards, and data visualization.
- Collaborate with stakeholders to understand business requirements and deliver actionable insights through visual reports.
- Ensure that Power BI reports are optimized for performance, usability, and scalability.
- Collaboration & Leadership:
- Work closely with cross-functional teams (business analysts, data engineers, software engineers, and stakeholders) to gather requirements and deliver solutions.
- Provide technical guidance and mentorship to junior team members and foster a culture of continuous learning.
- Translate business requirements into technical specifications and deliver scalable and reliable solutions.
- Cloud & Data Technologies:
- Utilize Azure cloud services such as Azure Databricks, Azure SQL Database, Data Factory, ADLS, Blob Storage, and Azure Synapse to manage and orchestrate data workflows.
- Stay up-to-date with the latest trends in cloud computing, data architecture, and business intelligence.
- Quality Assurance & Best Practices:
- Establish coding standards, data governance practices, and security protocols for all data-related processes.
- Conduct code reviews, and performance tuning, and ensure data integrity and accuracy.
- Design disaster recovery and backup strategies to ensure data availability and reliability.
Required Qualifications:
- 12+ years of experience as a Technical Architect,, or similar role with a focus on Azure Data Bricks, Power BI, and ETL.
- Expertise in designing and implementing data architectures using Azure Data Bricks (ADB).
- Strong proficiency in Power BI for building scalable reports and dashboards.
- In-depth knowledge of ETL tools and processes, particularly with Azure Data Factory and other Azure-based ETL solutions.
- Proficiency in SQL and familiarity with data warehousing concepts (e.G., star schema, snowflake schema).
- Strong understanding of cloud computing and Azure services, including storage, compute, and security best practices.
- Experience with data lake architecture, data pipelines, and data governance.
- Ability to understand complex business requirements and translate them into technical solutions.
- Strong communication skills with the ability to collaborate across business and technical teams.
- Leadership and mentoring experience, guiding junior team members to achieve project goals.
Preferred Qualifications:
- Certification in Azure (e.G., Azure Solutions Architect, Azure Data Engineer).
- Experience with other BI tools or visualization platforms (e.G., Power BI,, PowerApps).
- Knowledge of programming/scripting languages such as Python, Scala, or DAX.
- Familiarity with DevOps practices in data pipelines and CI/CD workflows.
- Experience with Agile methodologies and project management tools like JIRA or Azure DevOps.
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Executive Director, Data Architecture
Posted 2 days ago
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**Grade Level (for internal use):**
14
**The Team:**
The Enterprise Solutions Technology division includes workflow solutions across Lending, Reg & Compliance, Global Markets and Software business. Enterprise Solutions provides industry-leading set of integrated tools, solutions and data services that help our clients make efficient investment decisions, operate with greater efficiency, and provide transparency across their business and to their key stakeholders.
**What's in it for you:**
This is the place to utilize your existing software development skills while having the chance to become exposed to the latest cutting-edge technologies available in the market. Alongside you get opportunities to:
- Mentor and work with a skilled team while shaping the future of our products.
- Working on the latest technologies at scale .
- Build, develop, and guide high-performing talent to guide their growth path
- Expand experience with modern cutting-edge technologies like Dev Ops, and cloud technologies.
- Willingness to learn & master new technologies. We are looking for cross-team members, for versatile Full Stack experience.
**Responsibilities:**
- Complete SDLC: architecture, design, development, and support of the product
- Active participation in all scrum ceremonies, following AGILE best practices effectively.
- Play a key role in the development team to build high-quality, high-performance, scalable code
- Produce technical design documents and conduct technical walkthroughs
- Work collaboratively with business partners to understand and clarify requirements.
- Collaborate effectively with technical and non-technical stakeholders
- Respond to and resolve internal and client raised issues.
- Build, develop, and guide high-performing talent to guide their growth path
- Create and maintain a professional culture within the team, where individuals take ownership and focus on delivering excellence, quality and value for the customer and business.
**Customer Focus**
- Build positive and productive working relationships with customers by delivering client priorities with high quality to enable business growth.
- Serve as primary contact for customer inquiries and concerns.
- Analyze customer requests, set delivery priorities, and make schedule adjustments to meet timely delivery goals.
- Attend Project calls (Internal and with Client) as required.
**Core Skills:**
+ Enterprise Data Architecture Strategy: Ability to define and drive a global Data Architecture vision, embedding agentic AI and semantic models into platforms.
+ Semantic Data Mesh & Ontologies: Deep expertise in semantic data mesh, ontologies (FIBO, ISDA CDM, ISO20022), and multi-agent frameworks.
+ Knowledge Graphs & Semantic Stack: Proficiency in RDF, OWL, SPARQL, SHACL, and experience with knowledge graph databases (Neptune, Stardog, GraphDB).
+ Financial Data & Standards: Familiarity with capital markets datasets and financial standards.
+ Explainability & XAI: Knowledge of explainable AI (SHAP, LIME, counterfactuals) and ontology-driven traceability.
+ Good knowledge of various data modelling tools with hands on experience on Erwin data modeler.
+ Good knowledge of system architecture, object-oriented design, and design patterns.
+ Modern Platform Architecture: Experience designing and evolving cloud-native, modular, and federated architectures for scale, resilience, and agility.
+ Integration & Interoperability: Strong abstraction and modelling skills, integrating semantic models into data mesh and ensuring interoperability across domains.
+ Streaming & Event-Driven Execution: Knowledge of real-time, event-driven architectures (Kafka, Redis Streams, event sourcing).
+ DevOps & Cloud Engineering: Knowledge of DevOps, cloud platforms (AWS ECS, Azure, Kubernetes), and infrastructure as code (Terraform, CloudFormation).
+ Security & Compliance: Understanding of secure, compliant architectures and access control for ML services.
+ AI/ML & NLP: Knowledge of ML/NLP (transformers, embeddings, supervised/unsupervised learning).
**Basic Qualifications:**
- Bachelor's degree in computer science or related fields.
- 18 years' experience in software development, computer engineering, or other related fields.
- Ability to work well in a team environment following Agile software development principles.
- Strong interpersonal and written communication skills.
- Demonstrated ability to successfully multi-task.
- High energy and a self-starter.
- Preference will be given to candidates that have experience working with Microservices or distributed systems
- Expert on data management technologies (RMDBS, NoSQL)
- Good background on leveraging cloud technologies
- Can handle both front-end and back-end development
- Ability to deliver products in a dynamic, fast-paced environment.
**Management Requirements** :
+ Strong inter-personal skills required with ability to multitask and prioritize work.
+ Strong People Leader.
+ People Management skill is a must.
**About S&P Global Market Intelligence**
At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction.
For more information, visit .
**What's In It For** **You?**
**Our Purpose:**
Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology-the right combination can unlock possibility and change the world.
Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress.
**Our People:**
We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.
From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We're constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference.
**Our Values:**
**Integrity, Discovery, Partnership**
At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of **integrity** in all we do, bring a spirit of **discovery** to our work, and collaborate in close **partnership** with each other and our customers to achieve shared goals.
**Benefits:**
We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global.
Our benefits include:
+ Health & Wellness: Health care coverage designed for the mind and body.
+ Flexible Downtime: Generous time off helps keep you energized for your time on.
+ Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
+ Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
+ Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
+ Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference.
For more information on benefits by country visit: Hiring and Opportunity at S&P Global:**
At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.
**Recruitment Fraud Alert:**
If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, "pre-employment training" or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here ( .
---
**Equal Opportunity Employer**
S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.
If you need an accommodation during the application process due to a disability, please send an email to: and your request will be forwarded to the appropriate person.
**US Candidates Only:** The EEO is the Law Poster describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - - Officials or Managers (EEO-2 Job Categories-United States of America), IFTECH102 - Senior Management (EEO Job Group), SWP Priority - Ratings - (Strategic Workforce Planning)
**Job ID:**
**Posted On:**
**Location:** Gurgaon, Haryana, India
Sr. Analyst, Data Architecture
Posted 2 days ago
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Job Description
Job Number # - 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
Sr Manager, Data Architecture
Posted 6 days ago
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Job Description
About McDonalds:
One of the worlds largest employers with locations in more than 100 countries, McDonalds Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonald's global talent base and in-house expertise.Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe.
Position Summary:
We are seeking an experienced Data Architect to design, implement, and optimize scalable data solutions on Amazon Web Services (AWS) and / or Google Cloud Platform (GCP). The ideal candidate will lead the development of enterprise-grade data architectures that support analytics, machine learning, and business intelligence initiatives while ensuring security, performance, and cost optimization.
Who we are looking for:
Primary Responsibilities:
Key Responsibilities
Architecture & Design:
- Design and implement comprehensive data architectures using AWS or GCP services
- Develop data models, schemas, and integration patterns for structured and unstructured data
- Create solution blueprints, technical documentation, architectural diagrams, and best practice guidelines
- Implement data governance frameworks and ensure compliance with security standards
- Design disaster recovery and business continuity strategies for data systems
Technical Leadership:
- Lead cross-functional teams in implementing data solutions and migrations
- Provide technical guidance on cloud data services selection and optimization
- Collaborate with stakeholders to translate business requirements into technical solutions
- Drive adoption of cloud-native data technologies and modern data practices
Platform Implementation:
- Implement data pipelines using cloud-native services (AWS Glue, Google Dataflow, etc.)
- Configure and optimize data lakes and data warehouses (S3 / Redshift, GCS / BigQuery)
- Set up real-time streaming data processing solutions (Kafka, Airflow, Pub / Sub)
- Implement automated data quality monitoring and validation processes
- Establish CI/CD pipelines for data infrastructure deployment
Performance & Optimization:
- Monitor and optimize data pipeline performance and cost efficiency
- Implement data partitioning, indexing, and compression strategies
- Conduct capacity planning and scaling recommendations
- Troubleshoot complex data processing issues and performance bottlenecks
- Establish monitoring, alerting, and logging for data systems
Skill:
- Bachelors degree in Computer Science, Data Engineering, or related field
- 9+ years of experience in data architecture and engineering
- 5+ years of hands-on experience with AWS or GCP data services
- Experience with large-scale data processing and analytics platforms
- AWS Redshift, S3, Glue, EMR, Kinesis, Lambda
- AWS Data Pipeline, Step Functions, CloudFormation
- BigQuery, Cloud Storage, Dataflow, Dataproc, Pub/Sub
- GCP Cloud Functions, Cloud Composer, Deployment Manager
- IAM, VPC, and security configurations
- SQL and NoSQL databases
- Big data technologies (Spark, Hadoop, Kafka)
- Programming languages (Python, Java, SQL)
- Data modeling and ETL/ELT processes
- Infrastructure as Code (Terraform, CloudFormation)
- Container technologies (Docker, Kubernetes)
- Data warehousing concepts and dimensional modeling
- Experience with modern data architecture patterns
- Real-time and batch data processing architectures
- Data governance, lineage, and quality frameworks
- Business intelligence and visualization tools
- Machine learning pipeline integration
- Strong communication and presentation abilities
- Leadership and team collaboration skills
- Problem-solving and analytical thinking
- Customer-focused mindset with business acumen
Preferred Qualifications:
- Masters degree in relevant field
- Cloud certifications (AWS Solutions Architect, GCP Professional Data Engineer)
- Experience with multiple cloud platforms
- Knowledge of data privacy regulations (GDPR, CCPA)
Work location: Hyderabad, India
Work pattern: Full time role.
Work mode: Hybrid.
Additional Information:
McDonalds is committed to providing qualified individuals with disabilities with reasonable accommodations to perform the essential functions of their jobs. McDonalds provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to sex, sex stereotyping, pregnancy (including pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), race, color, religion, ancestry or national origin, age, disability status, medical condition, marital status, sexual orientation, gender, gender identity, gender expression, transgender status, protected military or veteran status, citizenship status, genetic information, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
McDonalds Capability Center India Private Limited (McDonalds in India) is a proud equal opportunity employer and is committed to hiring a diverse workforce and sustaining an inclusive culture. At McDonalds in India, employment decisions are based on merit, job requirements, and business needs, and all qualified candidates are considered for employment. McDonalds in India does not discriminate based on race, religion, colour, age, gender, marital status, nationality, ethnic origin, sexual orientation, political affiliation, veteran status, disability status, medical history, parental status, genetic information, or any other basis protected under state or local laws.
Nothing in this job posting or description should be construed as an offer or guarantee of employment.