Job Description
Qualcomm seeks an experienced and visionary Principal Enterprise Data Architect to play a pivotal role in defining and executing our data architecture strategy. This position is crucial for ensuring that our data infrastructure is scalable, secure, and optimally aligned with our business objectives. The ideal candidate will possess a deep understanding of data architecture principles, data modeling, and the integration of emerging technologies into a cohesive data ecosystem that supports innovation, operational excellence, and strategic insights. Strong executive presence and the ability to effectively collaborate with business stakeholders are essential for success in this role.Principal Duties and Responsibilities:Lead the development and implementation of Qualcomm’s enterprise data architecture strategy, ensuring alignment with business goals and technology capabilities.Design and manage robust, scalable data models and architectures to support the evolving needs of the business, focusing on efficiency, quality, and security.Design the Master Data Management strategy that will help create a common view of master data and provide a centralized mechanism for its aggregation, cleansing, transformation, augmentation, validation, and syndicationCollaborate with IT leadership, data scientists, and business stakeholders to understand data needs, identify gaps in our current architecture, and propose solutions that enhance data accessibility, reliability, and scalability.Serve as a trusted advisor to executive leadership, effectively communicating the value and impact of data architecture initiatives on business outcomes.Guide the selection and integration of advanced data management platforms and tools (e.g., data lakes, data warehouses, ETL tools) to build a state-of-the-art data ecosystem.
Responsibilities + Skills
Education
Bachelor of Science in Computer Science, Information Technology, Data Science, or a related field.
Experience
At least 12 years of experience in data architecture, data modeling, and data strategy roles, with a proven track record of leading large-scale data architecture initiatives leveraging modern frameworks5+ years of experience as an Enterprise Data Architect leading vision, strategy and roadmapExpertise in a broad range of data management technologies and platforms (e.g., SQL/NoSQL databases, Hadoop, Spark, cloud-based data solutions like AWS, GCP, Azure).