Evaluate and select data technologies aligned with business goals. Assess packaged solutions, automation, and in-house development options. Solution Design: Collaborate to translate business requirements into scalable data solutions. Design robust, efficient data architectures for cross-brand applications. Data Workloads and Use Cases: Analyze data workloads to recommend suitable technologies. Stay current with emerging data technologies and trends. Performance and Scalability: Optimize data solutions for performance and scalability. Implement strategies for enhanced system efficiency. Recommendations and Long-Term Value: Provide technology recommendations based on architectural principles. Ensure long-term value through critical thinking and staying current with industry trends. Documentation and Communication: Maintain detailed documentation of architectural designs. Communicate complex technical concepts to diverse stakeholders. Collaborate with cross-functional teams for successful implementation of data solutions. Qualifications: Bachelor's degree in Computer Science, Computer Engineering, or Information Technology. 8-10 years of extensive experience in data architecture and solution design. Leadership skills with experience in guiding and mentoring data teams. Excellent communication skills for technical and non-technical audiences. Proficiency in various data technologies, including databases, data warehouses, ETL processes, and big data. Familiarity with cloud-based data services (AWS, Azure, Google Cloud). Strong domain knowledge in customer analytics and digital applications. Competency in end-to-end data solutions design, including data modeling and governance. Proven problem-solving abilities and a track record of successful data architecture projects. Must be willing to work in Ortigas, Pasig (Hybrid Work Setup)#J-18808-Ljbffr