Databricks Lakehouse Enterprise Data Architect and Modeler

As an Enterprise Data Architect or Data Modeling Lead at Qualcomm India Private Limited, you will play a critical role in shaping the future of data capabilities as part of the Enterprise Data Transformation (EDT) program. Your responsibilities will include: - **Vision and Strategy**: - Define and lead the vision, strategy, and roadmap for the data platform, aligning with business objectives to enable data platforms as the strategic enabler for AI. - **Relentless Execution of Enterprise Data Model Development**: - Rapidly deliver design and development of data models in cloud-based solutions, ensuring seamless data integration, quality, compliance, and security. - **Data Engineering**: - Map existing legacy data warehouses to develop an enterprise-level data model that can support current and future analytics needs. - **Self Service Enablement**: - Partner with business stakeholders and internal data solutions team to empower self-service capabilities. - **Cross-Functional Collaboration**: - Collaborate with IT and Business with a product mindset to ensure data models meet business needs and drive innovation. - **Challenge Status Quo**: - Encourage innovation and continuous improvement by proposing new scalable and creative solutions. Qualifications Required: - 14+ years of IT-related work experience in Data and Analytics domain with a Bachelor's degree. - 7+ years of enterprise data modeling experience. - Strong functional knowledge across various corporate functions. - Hands-on technical understanding in building complex data models. - Comfortable working with cross-functional teams. - Passion for migrating to Databricks medallion architecture. - Accountability and ownership in driving projects to completion. Minimum Qualifications: - 7+ years of IT-related work experience with a Bachelor's degree in Computer Engineering, Computer Science, Information Systems, or a related field. OR - 9+ years of IT-related work experience without a Bachelor's degree. - 5+ years of programming experience (e.g., Java, Python). - 3+ years of experience with SQL or NoSQL Databases. - 3+ years of experience with Data Structures and algorithms. Additionally, you will need a Bachelor's or Master's degree in Computer Science, Data Science, Information Technology, or a related field, along with 12+ years of experience in data management, data engineering, or data science roles. You should have a strong understanding and hands-on experience with lakehouse medallion data architecture and governance, as well as proven implementation experience with migrating legacy DW data models. Qualcomm is an equal opportunity employer committed to providing accessible processes for individuals with disabilities. If you require accommodations during the application/hiring process, please contact disability-accommodations@qualcomm.com.,