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data architect

PepsiCo

<div>
 
 Overview
 
 
 
 With data deeply embedded in our DNA, PepsiCo Data, Analytics, and AI (D&amp;AI) transforms data into consumer delight. We build and organize business-ready data and AI allowing PepsiCo&rsquo;s leaders to solve problems with the highest degree of confidence. Our data, analytics, AI products and services ensure our digital transformation is delivered at scale enabling new revenue streams, deeper partner relationships, new consumer experiences, and innovation across the enterprise.
 
 
 As part of the Global Data &amp; AI Architecture team, Architects are responsible for making PepsiCo&rsquo;s strategic vision real by defining the right architecture for conceiving, initiating, and shepherding high-priority data, analytics, and AI enabling capabilities.
 
 
 The successful candidate will have a deep knowledge of master data management, know how to simplify multi-faceted concepts into succinct messaging that sets and drives strategic direction, and have a proven ability to work with others on complex projects
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Defines MDM architecture principles and design patterns and styles to support all styles of MDM (Registry, Consolidation, Coexistence, Centralization) and for publishing and subscribing to master data for operational and analytical applications.
 </li>
 <li>
 Defines tech strategy (leads tech evaluation and selection, including POCs) for Master Data Management capabilities, and secures alignment across the following stakeholders: Global Data Governance, Data Platform, D&amp;AI leadership
 </li>
 <li>
 Perform regular and thorough market research, both with our existing product vendors, 3rd party research agencies like Gartner, and prospective vendors to stay one step ahead of the latest trends in the MDM space. Evolve technology strategy and north star architecture accordingly.
 </li>
 <li>
 Evaluates existing MDM architectures and lays out roadmap to achieve north star architecture, driving rationalization of existing MDM solutions across the enterprise.
 </li>
 <li>
 Lead the Master Data Management Architecture Community of Practice, providing coaching and guidance to D&amp;AI solution architects, Enterprise Architects, and program teams on the use of MDM capabilities, principles, and patterns.
 </li>
 <li>
 Govern D&amp;AI products solution architectures to ensure alignment with MDM standards and minimize tech debt, maximize reuse and speed to market
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Experience
 
 
 <ul>
 <li>
 10+ years implementing MDM solutions across domains for large multi-country enterprises with complex product lines, with expert knowledge of master data harmonization, standardization, and the 4 styles of MDM (Registry, Consolidation, Coexistence, Centralization).
 </li>
 <li>
 10+ years of experience with solution architecture, across MDM and data integration
 </li>
 <li>
 Bachelor&rsquo;s Degree required; master&rsquo;s degree preferred
 </li>
 <li>
 Consulting experience building data, analytics and AI strategies for clients strongly preferred
 </li>
 <li>
 Experience working in large, multinational, enterprises
 </li>
 <li>
 Experience with large enterprise transformations
 </li>
 <li>
 Experience in CPG industry preferred
 </li>
 <li>
 Experience driving technology evaluations across a wide range of vendors using a formal evaluation process.
 
 
 </li>
 </ul>
 Functional Skills
 
 
 <ul>
 <li>
 Expert knowledge of key MDM and Data Integration platforms such as Informatica MDM, Informatica Data Integration, Address Standardization tools like SAP Data Services, Address Doctor.
 </li>
 <li>
 Expert knowledge in MDM strategies and styles (Registry, Consolidation, Coexistence, Centralization) and in delivering MDM solutions for complex large enterprises
 </li>
 <li>
 Exposure and understanding of existing digital and emerging technologies (AI including Gen AI and how it can improve MDM, Data &amp; Analytics, Data Integration)
 </li>
 <li>
 Systems thinking, understanding of relationships between various systems
 </li>
 <li>
 Thorough understanding of the architecture guiding principles / modern architecture and leveraging them to design forward-looking solutions.
 </li>
 <li>
 Ability to demonstrate a mindset for the Conceptual, Logical, Physical levels of architecture and apply them effectively.
 </li>
 <li>
 Familiarity with information management practices, system development life cycle management, IT services management, infrastructure and operations, and EA frameworks
 </li>
 <li>
 Ability to influence senior stakeholders on following technology strategy and solution design for key initiatives to align with standards and architecture guiding principles
 
 
 </li>
 </ul>
 Differentiating Competencies Required:
 
 
 <ul>
 <li>
 Demonstrate interest in continuous self-learning and willingness to apply outside in thinking.
 </li>
 <li>
 Constantly adaptable to an ever-changing set of priorities.
 </li>
 <li>
 Master at the art of influencing to drive alignment at all levels of the organization, from development teams on usage of design patterns to Sr. VPs on tech strategy and solution rationalization.
 </li>
 <li>
 Excellent collaboration skills, also at all levels of the organization.
 </li>
 <li>
 Executive level written, verbal, communication and presentation skills.
 </li>
 <li>
 Ability to turn complex things and diverse data into meaningful insights/conclusions and executive messaging
 </li>
 <li>
 Apply proper level of thoroughness and due diligence to architecture recommendations
 </li>
 </ul>
</div>

Director - Master Data Management (MDM) Domain Architect

YASH Technologies

<div>
 
 
 Job Overview:
 
 
 
 
 Locations- Indore/Pune/Hyderabad/Bangalore
 
 
 
 
 
 
 We are looking for a
 
 AI/ML Developer
 
 to join our team of researchers, data scientists, and developers. You will work on cutting-edge AI solutions across industries such as commerce, agriculture, insurance, financial markets, and procurement. Your role involves developing and optimizing
 
 machine learning and generative AI models
 
 to solve real-world challenges.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 &bull; Develop and optimize
 
 ML, NLP, Deep Learning, and Generative AI
 
 models.
 
 
 &bull; Research and implement
 
 state-of-the-art algorithms
 
 for supervised and unsupervised learning.
 
 
 &bull; Work with
 
 large-scale datasets
 
 in distributed environments.
 
 
 &bull; Understand business processes to select and apply the best ML approaches.
 
 
 &bull; Ensure
 
 scalability and performance
 
 of ML solutions.
 
 
 &bull; Collaborate with cross-functional teams, including product owners, designers, and developers.
 
 
 &bull; Solve complex
 
 data integration
 
 and deployment challenges.
 
 
 &bull; Communicate results effectively using data visualization.
 
 
 &bull; Work in
 
 global teams
 
 across different time zones.
 
 
 
 
 
 
 Required Skills &amp; Experience:
 
 
 
 &bull; Strong experience in
 
 Machine Learning, Deep Learning, NLP, and Generative AI
 
 .
 
 
 &bull; Hands-on expertise in frameworks like
 
 TensorFlow, PyTorch, or Hugging Face Transformers
 
 .
 
 
 &bull; Experience with
 
 LLMs (Large Language Models), model fine-tuning, and prompt engineering
 
 .
 
 
 &bull; Proficiency in
 
 Python, R, or Scala
 
 for ML development.
 
 
 &bull; Knowledge of
 
 cloud-based ML platforms
 
 (AWS, Azure, GCP).
 
 
 &bull; Experience with
 
 big data processing
 
 (Spark, Hadoop, or Dask).
 
 
 &bull; Ability to scale ML models from
 
 prototypes to production
 
 .
 
 
 &bull; Strong analytical and problem-solving skills.
 
 
 
 
 
 If you&rsquo;re passionate about pushing the boundaries of
 
 ML and GenAI
 
 , we&rsquo;d love to hear from you!
 
</div>

Lead Data Scientist-Gen AI

Delaplex

<div>
 
 About Company
 
 
 
 Delaplex is currently seeking a Solution Architect to join our Consulting Services team, specifically to the Infor WMS (Warehouse Management Systems). Solution Architect provides leadership and direction to the on-site implementation team on the design and execution of the solution and definition of business process workflows that accompany the solution. This role aims to take ownership of a solution within an implementation project and architect for software solutions that solve the customers business problem, while generating maximum value for the customer.
 
 
 
 Position Name: Infor WMS Business Consultant
 
 
 
 
 Experience: 4- 8 years
 
 
 
 
 Qualifications &amp; Responsibilities
 
 
 
 <ul>
 <li>
 Bachelor's or master's degree in computer science, Information Technology, or related field.
 </li>
 <li>
 Proven experience as a Business Consultant with domain experience in Infor WMS.
 </li>
 <li>
 Expertise performance tuning and database administration.
 </li>
 <li>
 Strong understanding of technical platforms, infrastructure, and database structures.
 </li>
 <li>
 Excellent problem-solving skills and the ability to work independently.
 </li>
 <li>
 Effective verbal and written communication skills; able to collaborate with stakeholders to resolve issues and estimate project timelines.
 </li>
 <li>
 Design reusable components and promote reusability using microservices-style architecture in SaaS environments.
 </li>
 <li>
 Provide guidance during implementation of product performance, support, and maintenance; deliver technical support including design review, installation, configuration, troubleshooting, and system testing.
 </li>
 <li>
 Contribute to practice growth by developing practice aids and best-practice collateral; conduct technical analysis sessions to translate functional and technical requirements into tailored solutions.
 </li>
 <li>
 Enable and deliver knowledge transfer to teams on best practices and emerging technologies.
 
 
 </li>
 </ul>
 Skills: performance tuninng,infor wms,warehouse management systems,database administration
</div>

Infor WMS Business Consultant

Pidilite Industries Limited

<div>
 
 Hi
 
 
 Pidilite is hiring for Key Account Sales Executive
 
 
 Location : Hyderabad
 
 
 
 Skill and Designation : Key Account Sales Executive
 
 ( Project Sales )
 
 
 Exp : 4 to 13 years exp in Project Sales ( Good exposure in Architect segment from building material , construction chemical )
 
 
 
 Note : Its Individual contributor role
 
 
 
 Education : Any Graduate
 
 
 Communication : Excellent communication
 
 
 Industry Exp : Cement ,Construction Chemical ,Building Material ,Plywood, Laminate, Tiles, Ceramics ,Bath fitting ,Paint ETC
 
 
 
 Job description
 
 
 
 
 Responsibilities:-
 
 
 
 A person who has worked in cement / paint industry /Building Material with 4-5 years min work ex and has worked with builders to activate them is criteria 1
 
 
 Candidates who have worked with key accounts (small size)
 
 
 Candidates who have an exposure to retail management are preferred than pure project profile as mentioned in point 2
 
 
 
 
 
 Interested please share updated resume to ots1281@pidilite.com or please contact at given no. 9007377402
 
 
 Regards
 
 
 Sabita Roy
 
</div>

Project Sales

Indus Systems & Services

<div>
 
 Job Title: Presales Manager &ndash; IT Infrastructure Solutions
 
 
 
 Role Overview: We are seeking an experienced Presales Manager with strong technical expertise in Server, Storage, Hyperconverged Infrastructure (HCI), Backup, Virtual Desktop Infrastructure (VDI), Mobile Device Management (MDM), and Disaster Recovery (DR) solutions.
 
 The ideal candidate should have hands-on experience with OEMs such as Dell, HPE, Lenovo, Broadcom, Nutanix, Commvault, Veeam, and Omnissa (formerly VMware EUC), and should be capable of designing, positioning, and presenting complex IT infrastructure solutions to enterprise customers.
 
 
 
 
 
 Requirements
 
 
 
 
 Key Responsibilities:
 
 
 
 <li>
 
 
 Presales &amp; Solution Design
 
 
 
 </li>
 <li>
 
 Understand customer requirements and translate them into
 
 solution architectures
 
 using multi-vendor technologies.
 
 
 </li>
 <li>
 
 Design, size, and propose infrastructure solutions around
 
 Servers, Storage, HCI, VDI, Backup, DR, and MDM
 
 .
 
 
 </li>
 <li>
 
 Conduct
 
 POCs (Proof of Concepts)
 
 , product demos, and solution workshops for clients.
 
 
 </li>
 <li>
 
 Prepare
 
 technical proposals, BOMs, RFP responses, and solution presentations
 
 in collaboration with sales teams.
 
 
 </li>
 <li>
 
 
 Vendor &amp; Partner Coordination
 
 
 
 </li>
 <li>
 
 Work closely with OEMs and distributors such as
 
 Dell, HPE, Lenovo, Nutanix, Broadcom, Commvault, Veeam, and Omnissa
 
 for technical validations, pricing, and solution optimization.
 
 
 </li>
 <li>
 
 Keep up-to-date with latest product releases, certifications, and partner programs.
 
 
 </li>
 <li>
 
 
 Customer Engagement
 
 
 
 </li>
 <li>
 
 Engage with enterprise customers to understand business challenges and map suitable technology solutions.
 
 
 </li>
 <li>
 
 Deliver
 
 technical presentations, workshops, and product deep-dives
 
 to CXO-level stakeholders.
 
 
 </li>
 <li>
 
 Support customer meetings along with the sales team to drive technical closure.
 
 
 </li>
 <li>
 
 
 Internal Collaboration
 
 
 
 </li>
 <li>
 
 Collaborate with delivery and implementation teams for
 
 handover of won deals
 
 , ensuring technical accuracy and scope alignment.
 
 
 </li>
 <li>
 
 Train and mentor junior presales or sales teams on new solutions and architectures.
 
 
 </li>
 <li>
 
 
 Strategic Contribution
 
 
 
 </li>
 <li>
 
 Identify opportunities for
 
 solution bundling and cross-selling
 
 across product lines.
 
 
 </li>
 <li>
 
 Provide technical inputs for
 
 go-to-market strategies
 
 and marketing collateral.
 
 
 </li>
 <li>
 
 Support the organization in achieving
 
 partner certifications and vendor accreditations
 
 
 
 
 </li>
 Required Technical Expertise:
 
 
 
 <li>
 
 
 Compute &amp; Storage:
 
 
 
 </li>
 <li>
 
 Dell PowerEdge, HPE ProLiant, Lenovo ThinkSystem servers
 
 
 </li>
 <li>
 
 SAN/NAS storage from Dell, HPE, Lenovo
 
 
 </li>
 <li>
 
 RAID, iSCSI, Fibre Channel, NVMe technologies
 
 
 </li>
 <li>
 
 
 HCI &amp; Virtualization:
 
 
 
 </li>
 <li>
 
 Nutanix AHV, VMWare vSAN, HPE Simplivity, Dell VxRail
 
 
 </li>
 <li>
 
 Virtualization platforms (VMware, Hyper-V, Nutanix AHV)
 
 
 </li>
 <li>
 
 
 Backup &amp; DR:
 
 
 
 </li>
 <li>
 
 Commvault, Veeam, Dell Data Protection Suite
 
 
 </li>
 <li>
 
 DR planning, replication, cloud backup, and recovery solutions
 
 
 </li>
 <li>
 
 
 VDI &amp; MDM:
 
 
 
 </li>
 <li>
 
 Omnissa Horizon (formerly VMware Horizon), Citrix, or Accops
 
 
 </li>
 <li>
 
 MDM solutions such as Omnissa Workspace ONE, Intune, or MobileIron
 
 
 
 
 
 </li>
 Benefits
 
 
 
 Qualifications:
 
 
 
 <li>
 
 Bachelor&rsquo;s degree
 
 
 </li>
 <li>
 
 4+ years of experience in
 
 Presales / Solution Architect / Technical Consultant
 
 role in IT infrastructure domain.
 
 
 </li>
 <li>
 
 Strong communication, presentation, and proposal-writing skills.
 
 
 </li>
 <li>
 
 Ability to manage multiple RFPs, tight deadlines, and cross-functional coordination.
 
 
 
 </li>
 Key Competencies:
 
 
 
 <li>
 
 Strong
 
 solution-selling and consultative approach
 
 
 
 </li>
 <li>
 
 Excellent
 
 documentation and presentation skills
 
 
 
 </li>
 <li>
 
 
 Customer-centric
 
 and outcome-driven mindset
 
 
 </li>
 <li>
 
 Deep understanding of
 
 enterprise datacenter architectures
 
 
 
 </li>
 <li>
 
 Ability to handle
 
 technical negotiations
 
 with customers and OEMs
 
 
 </li>
</div>

Presales Manager – IT Infrastructure Solutions

<div>
 Requisition Id : 1637229
 
 
 Role:
 
 
 The Data Engineer, Specialist is responsible for designing, developing and maintaining scalable data pipelines and infrastructure to support analytics and business intelligence initiatives. This role involves building robust ETL (Extract, Transform, Load) processes, managing databases and optimizing cloud-based data platforms to ensure efficient and seamless integration of data from multiple sources.
 
 
 Roles &amp; Responsibilities:
 
 
 Develop and maintain scalable ETL (Extract, Transform, Load) processes to efficiently extract data from diverse sources, transform it as required and load it into data warehouses or analytical systems.
 
 
 Design and optimize database architectures and data pipelines to ensure high performance, availability and security while supporting structured and unstructured data.
 
 
 Integrate data from multiple sources, including APIs, third-party services and on-prem/cloud databases to create unified and consistent datasets for analytics and reporting.
 
 
 Collaborate with data scientists, analysts and business stakeholders to understand their data needs, develop data solutions and enable self-service analytics.
 
 
 Develop automated workflows and data processing scripts using Python, Spark, SQL, or other relevant technologies to streamline data ingestion and transformation.
 
 
 Optimize data storage and retrieval strategies in cloud-based data warehouses such as AWS Redshift, Google Big Query, or Azure Synapse, ensuring scalability and cost-efficiency.
 
 
 Maintain and improve data quality by implementing validation frameworks, anomaly detection mechanisms and data cleansing processes.
 
 
 Thoroughly tests code to ensure accuracy and alignment with its intended purpose. Reviews the final product with end users to confirm clarity and understanding, providing data analysis guidance as needed.
 
 
 Offers tool and data support to business users and team members, ensuring seamless functionality and accessibility.
 
 
 Conducts regression testing for new software releases, identifying issues and collaborating with vendors to resolve them and successfully deploy the software into production.
</div>

Data Engineer, Specialist

Novartis India

<div>
 
 Summary
 
 
 
 20 years of untapped data waiting to be explored. The digital revolution is changing everything, especially in pharmaceuticals, and Novartis has embraced a bold strategy to drive a company-wide digital transformation. With this mission, Data Operations group within BSI is working with the Novartis Business units and industry leading technology partners, to drive the execution of Novartis&rsquo; data strategy, turning its rich data resources into real strategic assets to drive actionable insights across the organization. This ambition is one of key pillars in the broader digital transformation happening at Novartis to be a &lsquo;medicines and data science company.
 
 
 We are looking for a skilled and enthusiastic Data Engineer with expertise in any of the ETL tools, Databricks, Snowflake SQL, and PySpark to join our innovative team.
 
 
 As a Data Engineer, you will be responsible for designing, implementing, and optimizing scalable data pipelines, ensuring data quality, and building robust data infrastructure.
 
 
 You will collaborate closely with data scientists, domain experts, and other stakeholders to ensure the efficient and reliable flow of data across the organization.
 
 
 
 About The Role
 
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 ETL Development: Design, implement, and maintain scalable ETL pipelines to extract, transform, and load data from various sources into data warehouses or data lakes.
 </li>
 <li>
 Databricks Utilization: Leverage Databricks to develop, optimize, and scale data engineering workflows.
 </li>
 <li>
 Data Modelling: Design and implement robust data models to support analytics and reporting needs.
 </li>
 <li>
 SQL Proficiency: Write, optimize, and maintain complex SQL queries for data extraction and transformation tasks.
 </li>
 <li>
 PySpark Development: Utilize PySpark for big data processing tasks, developing scalable and efficient solutions.
 </li>
 <li>
 Data Quality and Validation: Implement data quality checks and validation processes to ensure data accuracy and consistency.
 </li>
 <li>
 Data Integration: Integrate data from multiple sources, ensuring data consistency and reliability.
 </li>
 <li>
 Collaboration: Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet business needs.
 </li>
 <li>
 Documentation: Create and maintain comprehensive documentation for data pipelines, data models, and related processes.
 </li>
 <li>
 Performance Optimization: Optimize data processing performance by fine-tuning ETL pipelines and data storage solutions.
 </li>
 <li>
 Security and Compliance: Ensure compliance with data governance policies and security protocols to protect sensitive and confidential information.
 </li>
 <li>
 Continuous Improvement: Stay current with industry trends and emerging technologies, continuously improving data engineering practices.
 
 
 </li>
 </ul>
 
 Education (minimum/desirable)
 
 
 
 Bachelor's or master&rsquo;s degree in computer science, Engineering, Information Systems, or a related field.
 
 
 
 Experience / Skills
 
 
 
 <ul>
 <li>
 8+ years&rsquo; experience in a Global company as a data steward, engineer, modeler or data scientist, with a strong focus on ETL tools, SQL, and PySpark.
 </li>
 <li>
 Business understanding of pharmaceutical industry and data standards. Domain experience in at least one of the following areas &ndash; a) Pharma R&amp;D, b) Manufacturing, Procurement and Supply Chain and c) Marketing and Sales. Experience in working in Pharma / Life Science industry strongly preferred
 </li>
 <li>
 Strong proficiency in SQL and experience with database management systems (e.g., PostgreSQL, MySQL, Oracle).
 </li>
 <li>
 Hands-on experience with Databricks for developing and optimizing data workloads.
 </li>
 <li>
 Proficiency in PySpark for big data processing tasks.
 </li>
 <li>
 Knowledge of data warehousing solutions (e.g. Snowflake).
 </li>
 <li>
 Experience of working with large codebase / repos using Git / Bitbucket
 </li>
 <li>
 Strong problem-solving skills and attention to detail.
 </li>
 <li>
 Excellent communication and collaboration skills with senior stakeholders
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and their data services (Databricks).
 </li>
 <li>
 Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).
 </li>
 <li>
 Knowledge of real-time data processing and streaming technologies.
 </li>
 <li>
 Proficiency in data visualization tools (e.g., Tableau, Power BI).
 </li>
 <li>
 Experience with DevOps practices and tools for CI/CD pipelines.
 
 
 </li>
 </ul>
 
 Why consider Novartis?
 
 
 
 799 million. That&rsquo;s how many lives our products touched in 2019. And while we&rsquo;re proud of that fact, in this world of digital and technological transformation, we must also ask ourselves this: how can we continue to improve and extend even more people&rsquo;s lives?
 
 
 We believe the answers are found when curious, courageous and collaborative people like you are brought together in an inspiring environment. Where you&rsquo;re given opportunities to explore the power of digital and data. Where you&rsquo;re empowered to risk failure by taking smart risks, and where you&rsquo;re surrounded by people who share your determination to tackle the world&rsquo;s toughest medical challenges.
 
 
 Imagine what you could do at Novartis!
 
 
 
 Commitment To Diversity &amp; Inclusion
 
 
 
 Novartis embraces diversity, equal opportunity and inclusion. We are committed to building diverse teams, representative of the patients and communities we serve, and we strive to create an inclusive workplace that cultivates bold innovation through collaboration and empowers our people to unleash their full potential.
 
 
 Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to learn more about Novartis and our career opportunities, join the Novartis Network here: https://talentnetwork.novartis.com/network
 
 
 
 Why Novartis:
 
 Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients&rsquo; lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture
 
 
 
 Join our Novartis Network:
 
 Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network
 
 
 
 Benefits and Rewards:
 
 Read our handbook to learn about all the ways we&rsquo;ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards
</div>

Senior Manager - Data Solutions

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