Upon regularization HMO for you PLUS 1 dependent worth P150,000
Role Summary
1
Responsibilities
Define the data requirements and structure for the application, ensuring alignment with business objectives and data governance policies
Model and design the application data structure, considering factors such as scalability, performance, and security
Collaborate with cross-functional teams to gather and analyze data requirements, ensuring data integrity and consistency
Develop data integration strategies and solutions, ensuring seamless data flow between different systems and applications
Implement data governance practices and standards, ensuring compliance with regulatory requirements and industry best practices
Overseeing the integration of various data sources and systems to enable seamless data flow and accessibility across the organization
Managing and optimizing databases, ensuring high performance, availability, and security
Defining and managing the metadata that describes the organization’s data assets, their structure, and relationships
Collaborating with cross-functional teams including developers, business analysts, and data scientists to understand their data requirements and provide appropriate solutions
Keeping abreast of emerging technologies and evaluating their potential for enhancing the organization’s data architecture and processes
Providing leadership and guidance to junior data professionals, and playing a key role in shaping the organization’s data-related initiatives
Effectively communicating technical concepts and solutions to non-technical stakeholders, including senior management and business leaders
Qualifications
The ideal candidate will possess a strong educational background in data management or a related field, along with a proven track record of delivering successful data architecture solutions
Must have 7 years of experience in Data Architecture Principles
Extensive experience in designing and implementing data integration solutions
Proficiency in data management tools and technologies, such as SQL, ETL, and data warehousing
Strong understanding of data modeling and database design concepts
Knowledge of data governance frameworks and practices
Strong analytical, problem-solving, and project management skills, and a deep understanding of data architecture best practices
