Be a strong thought leader in big data engineering and big data architecture.
Develops a strategic vision and drives the evolution of Globe’s big data platform and analytics capabilities. This will mean working with Hadoop, tools that integrate with it, data integration tools, quality tools, wrangling tools, and various tools that can help data engineers and data scientists work with data.
Works with internal and external stakeholders to identify requirements and use-cases, create solutions that leverage big data and cloud technologies, and drive the technical architecture and implementation plan.
Provides big data subject matter expertise during technical consultations by business and product groups or other solutions architects.
Evaluates, recommends, designs,, and implements on-premise and on-cloud big data technologies and infrastructure that enable high-performing, scalable, secure, and stable solutions.
Works with development, infrastructure, test, support, and other concerned teams to ensure proper implementation of new capabilities, technologies, infrastructure, and solutions.
Defines standards, policies, and best practices.
Creates architecture and technical design documents to communicate solutions to implementing teams.
Develops proofs-of-concept, minimum viable products, prototypes, and product demos.
Provides effort and budget estimates for the solution.
Champions data privacy and information security laws, policies, and standards.
Brings industry best practices to turn data into a strategic asset and foster data-driven decision making.
Other job-related activities that may be assigned from time to time.
Education – Graduate of Bachelor’s Degree preferably Information Technology or Computer Science.
Related Work Experience - 10 years of broad information technology experience
Proven track record of architecting and building large-scale distributed big data systems on-premises and in the cloud.
Hands-on experience with Hadoop, MPP, NoSQL, or other big data platforms
Hands-on experience with big data or streaming data tools
Hands-on experience with programming languages typically used in big data solutions.
Deep understanding of traditional data warehousing, business intelligence, and data management concepts, principles, and techniques
Knowledgeable on Philippine Data Privacy law
Must have excellent verbal and written communication skills with a high degree of comfort in speaking with senior executives at large companies.
Must have strong analytical and problem-solving skills paired with the ability to develop creative and efficient solutions.
Must have the ability to work both independently and collaborate effectively in various team settings.
Must have the ability to manage own learning and contribute to domain knowledge building