Lead Data Engineer/Modeler

Role: Lead Data Engineer/Modeler Location: Bangalore Full/ Part-time: Full time About Carrier Carrier Global Corporation, global leader in intelligent climate and energy solutions, is committed to creating innovations that bring comfort, safety and sustainability to life. Through cutting-edge advancements in climate solutions such as temperature control, air quality and transportation, we improve lives, empower critical industries and ensure safe transport of food, life-saving medicines and more. Since inventing modern air conditioning in 1902, we lead with purpose: enhancing the lives we live and the world we share. We continue to lead because of our world-class, inclusive workforce that puts the customer at the centre of everything we do. For more information, visit corporate.carrier.com or follow Carrier on social media at @Carrier. About the role: The Senior Data Modeler is responsible for designing and maintaining enterprise data models that enable scalable analytics, governed data products, AI/ML initiatives, and self-service reporting across Carrier's data platforms. The role serves as a bridge between business stakeholders, data engineering teams, governance teams, and analytics consumers to ensure consistent, reusable, and business-aligned data structures that support enterprise reporting, operational insights, and AI-powered solutions. Role Responsibilities Data Modeling & Architecture • Design conceptual, logical, and physical data models for enterprise data products and analytics platforms. • Develop dimensional, canonical, and semantic data models to support reporting, AI, and business intelligence use cases. • Create scalable and reusable data structures for Snowflake, Big Query, and cloud-based Lakehouse environments. • Establish and maintain enterprise data modeling standards, naming conventions, and design best practices. • Partner with data engineering and architecture teams to optimize data structures for performance, scalability, and maintainability. Business & Data Product Engagement • Collaborate with business stakeholders to understand business processes, KPIs, and reporting requirements. • Translate business requirements into governed and reusable enterprise data models. • Support the design and evolution of enterprise data products and semantic layers. • Drive consistency of business metrics and definitions across domains and reporting platforms. • Participate in solution design sessions and data architecture reviews to ensure alignment with business objectives. Governance, Quality & AI Enablement • Partner with Data Governance teams to define master data, reference data, business glossaries, and metadata standards. • Incorporate data quality, lineage, and governance requirements into model design. • Support enterprise metadata management and catalog initiatives. • Design AI-ready data structures that support machine learning, generative AI, RAG, and agentic AI use cases. • Contribute to enterprise standards for data discoverability, reuse, and compliance. Minimum Requirements • Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or related field. • 8+ years of experience in Data Modeling, Data Architecture, or Enterprise Data Management. • Strong expertise in: Dimensional Modeling (Kimball) Enterprise Data Modeling, Data Vault Modeling Semantic Layer Design, Master and Reference Data Management • Advanced SQL skills and strong understanding of relational and analytical database concepts. • Hands-on experience with modern cloud data platforms such as: Snowflake, Google Big Query, Cloud Data Warehouses and Lakehouse architectures • Experience supporting enterprise analytics, reporting, and data product initiatives. • Strong understanding of data governance, metadata management, and data quality principles. • Excellent communication skills with the ability to work across business and technical teams. Preferred Qualifications • Experience with Atlan, Collibra, or similar governance platforms. • Experience with Looker, Power BI, Qlik, Tableau, or enterprise semantic modeling tools. • Exposure to AI/ML, GenAI, and enterprise data platforms. • Experience in Manufacturing, Supply Chain, Finance, ERP, or Product Engineering domains. • Familiarity with SAP, Oracle, Salesforce, PLM, or other enterprise systems. Target Experience Level 8-12 years | Senior Data Modeler / Lead Data Modeler Benefits We are committed to offering competitive benefits programs for all of our employees, and enhancing our programs when necessary. • Make yourself a priority with flexible schedules, parental leave • Drive forward your career through professional development opportunities • Achieve your personal goals with our Employee Assistance Programme Our commitment to you Our greatest assets are the expertise, creativity and passion of our employees. We strive to provide a great place to work that attracts, develops and retains the best talent, promotes employee engagement, fosters teamwork and ultimately drives innovation for the benefit of our customers. We strive to create an environment where you feel that you belong, with diversity and inclusion as the engine to growth and innovation. We develop and deploy best-in-class programs and practices, providing enriching career opportunities, listening to employee feedback and always challenging ourselves to do better. This is The Carrier Way. Join us and make a difference. Job Applicant Privacy Notice Carrier is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class. 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