5 Enterprise Data Jobs

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Master Data Management Solution Architect The opportunity We're looking for a Manager as a Master Data Management Solution Architect to join the Supply Chain, Finance group of EY GDS consulting Team. This is a fantastic opportunity to be part of a leading firm while being instrumental in the growth of a new service offering. Your Key Responsibilities You know how to collect and identify business requirements and translate these into functional requirements and acceptance criteria. You combine technical affinity with excellent soft skills to align both technical and business stakeholders and drive change. You have a can-do attitude; you take ownership of the project to ensure a timely delivery & scalable solution through strong project management capabilities. Proactive with Solution-oriented mindset, ready to learn new technologies for Client requirements. Responsible for planning and coordinating the implementation of MDM projects and ensuring that they are completed on time and within budget. Skills And Attributes For Success System Implementation and Maintenance: - Understanding of MDM principles, architectures, and processes. - Design, implement, and maintain MDM systems and processes. - Collaborate with IT and other departments to ensure system integration and data flow. - Manage data migration and transformation processes. - Experience with MDM platforms, such as Informatica MDM, SAP Master Data Governance, or Oracle MDM. - Should have exposure and knowledge of the pros and cons of different MDM products and be able to recommend the best fit MDM product based on client requirements. Data Governance and Strategy: - Develop and implement data management strategies, ensuring data accuracy, consistency, and completeness. - Establish and enforce data governance policies and procedures. - Define and maintain data standards and processes. Data Quality and Integrity: - Ensure data quality and accuracy across all business systems. - Identify and resolve data-related issues and inconsistencies. - Maintain a trusted single source of accurate data. To qualify for the role, you must have Experience with designing and implementing the overall MDM architecture and interfaces, including critical data integration, data modeling, and data migration for both customer data and enterprise data. Ideally, you'll also have - Strong knowledge of product, customer master data design as per TM Forum standards. - Expertise in data handling to resolve any data issues. - Candidate should be eager to learn advanced technologies, new product updates, etc., and learn and train other team members. - Good verbal and written communication in English, Strong interpersonal, analytical, and problem-solving abilities. - Experience of interacting with customers in understanding business requirement documents and translating them into BI specifications and High- and Low-level design documents. What We Look For Education: Bachelor's/Masters degree in a related field (e.g., data science, information technology, business administration). Experience: Proven experience in data management, data governance, and/or MDM. Technical Skills: Knowledge of MDM tools and technologies, database management systems, and data integration platforms. Soft Skills: Strong analytical, problem-solving, and communication skills. Leadership and Management Skills: Ability to lead and motivate a team. Industry Knowledge: Understanding of relevant industry standards and regulation. What Working At EY Offers At EY, we're dedicated to helping our clients, from startups to Fortune 500 companies, and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: - Support, coaching, and feedback from some of the most engaging colleagues around. - Opportunities to develop new skills and progress your career. - The freedom and flexibility to handle your role in a way that's right for you. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people, and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform, and operate. Working across assurance, consulting, law, strategy, tax, and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.,

You will be responsible for demonstrating thorough knowledge and a proven record of success in executing various functional and technical aspects of SAP Master Data Governance (MDG) projects following industry best practices. This includes Data Modelling, Process Modelling, UI Modelling, Business Validation Rules Modelling, Derivations, and Data Replication Framework (DRF) and Workflow creations and Maintenance. Your role will require a good understanding of the SAP MDG technical framework, including BADI, BAPI/RFC/FM, Workflows, BRF+, Enterprise Services, IDoc, Floorplan Manager, WebDynPro, Fiori, and MDG API framework. Knowledge of SAP data dictionary tables, views, relationships, and corresponding data architecture for ECC and S/4 HANA for various SAP master and transactional data entities is essential, including excellent functional knowledge for core master data objects like customer, vendor, and material. Hands-on experience in configuring customer, vendor, finance, and product/material master data in MDG is necessary, including data harmonization involving de-duplication, mass changes, and data replication involving Key/Value mapping, SOA Web services, ALE/Idoc. Effective communication with customers and partners to understand specific Enterprise Data needs is a key aspect of this role. You should possess excellent written and verbal communication skills with the ability to impart ideas in technical, business, and user-friendly language. Having an appetite to acquire new knowledge, adapt to, and contribute to fast innovation is important for success in this role. The ideal candidate will have a minimum of 5 years of experience in SAP Master Data Governance (MDG) with at least 2 full cycle implementations. Implementation experience of SAP MDG in key domains such as Customer, Supplier, Material, and Finance Master is required. Hands-on experience with SAP Fiori, SAP MDG mass processing, consolidation, central governance, Workflow, and BRF+ is essential. Experience in RDG is considered an added advantage for this role.,

You have over 15 years of senior data modeling experience, with proficiency in using the Erwin data modeling tool. If you also have experience with AWS and Redshift database models, it would be considered a plus. Your role would involve designing L2 Layer for a Large Data Transformation Program, requiring your expertise as a Lead Data Modeler and collaboration with senior stakeholders. Your knowledge should encompass relational databases, data architecture computer systems (including SQL), ER modeling, big data, enterprise data, and physical data models. Experience in handling large data sets is a key requirement, specifically within the banking sector. Additionally, familiarity with finance data and Anaplan would be advantageous. Proficiency in data modeling software like SAP PowerDesigner, Microsoft Visio, or erwin DataModeler is expected. Your excellent presentation, communication, and organizational skills will be vital, along with a keen attention to detail. You should be comfortable working in a fast-paced environment, delivering high-quality results under pressure. Joining Virtusa means becoming a part of a global team of 27,000 professionals who prioritize teamwork, quality of life, and both professional and personal development. The company values collaboration and provides opportunities to work on exciting projects with cutting-edge technologies. At Virtusa, your potential will be nurtured, and your innovative ideas will be encouraged to foster excellence.,

You should have a solid experience of 6 to 14 years in Data Modeling/ ER Modeling. As a candidate for this position, you should possess knowledge of relational databases and data architecture computer systems, including SQL. It is preferred that you have familiarity with or a bachelors degree in computer science, data science, information technology, or data modeling. In this role, you will be expected to have a good understanding of ER modeling, big data, enterprise data, and physical data models. Additionally, experience with data modeling software such as SAP PowerDesigner, Microsoft Visio, or Erwin Data Modeler would be beneficial. The job location is in Coimbatore, and there will be a walk-in interview scheduled on 12th April. If you meet the requirements and are passionate about data modeling and ER modeling, we encourage you to apply for this exciting opportunity.,

Job Title: Senior Machine Learning Engineer Location: Pune, India Department: Enterprise Data & Analytics Advanced Analytics Team Employment Type: Full-time About the Role: We are looking for a Senior Machine Learning Engineer to join our Advanced Analytics IT Product Team. The team is responsible for developing cutting-edge data and analytics products that empower business functions to make smarter, data-driven decisions. This role is ideal for an experienced and proactive ML engineer who enjoys solving complex problems, building scalable solutions, and working with cross-functional teams in a dynamic global environment. Responsibilities: Design, build, test, deploy, and maintain machine learning and AI solutions across business domains. Collaborate with data scientists, engineers, and product teams to deliver reliable, production-grade ML pipelines. Develop data models, algorithms, and integrate them into enterprise-grade applications. Ensure solutions are secure, compliant, and follow industry best practices. Continuously improve ML products based on real-world performance metrics and feedback. Participate in code reviews, solution design, and incident resolution. Document technical designs and contribute to internal knowledge sharing. Lead ML engineering practices, mentor junior team members, and support agile development activities such as sprint planning and retrospectives. Qualifications: Education & Experience: Master's degree in Computer Science, Machine Learning, Statistics, Physics, Mathematics, or a related field. 4–6 years of hands-on experience in machine learning, data science, or data engineering. Technical Skills: Strong experience with AWS services: S3, DynamoDB, CloudFormation, CDK, Route53, AppFlow. AWS certifications are a plus. Hands-on experience with Databricks : PySpark, MLFlow, Unity Catalog, orchestration workflows. Databricks certifications preferred. Proficient in Python , SQL , and DBT . Familiar with tools like GitHub/GitLab , Airflow , and Terraform . Solid understanding of enterprise data (structured, unstructured, transactional, metadata) and integrations with systems like SAP ERP, Salesforce, and product data platforms. Strong foundation in CI/CD, testing practices, and production-grade software development. Experience with infrastructure-as-code, version control, and deployment automation. Knowledge of data privacy, cybersecurity, and regulatory compliance. Serve as the technical expert for ML engineering within the team. Drive architecture and design improvements for scalability and efficiency. Lead quality assurance activities, conduct code reviews, and ensure adherence to development standards. Guide and mentor junior engineers and contribute to capability building. Take on additional responsibilities such as Scrum Master or task force lead when needed. Agile working methodology with tools such as Jira, Confluence, and draw.io. Global, multi-cultural team focused on transparency, collaboration, and continuous learning. Encouraged to be self-organized, courageous, and solutions-oriented.