
Enterprise Data Architect
- Ortigas Center, Pasig City
- Permanent
- Full-time
- Understands business drivers and capabilities (future and current state), as well as end-to-end processes, to determine corresponding enterprise data designs and change requirements.
- Formulates, develops, establishes and manages the data architecture management principles, strategies, processes and procedures.
- Performs identification, evaluation, and selection of architecture design, roadmap of potential technologies associated to the overall Enterprise Data Management initiatives of the company. These include but not limited to enterprise data catalog, master and metadata management, data warehousing/business intelligence, data quality, data integration, extraction/transformation/load (ETL), data cleansing and processing tools, bigdata, machine learning/artificial intelligence, data visualization, new generation databases. (e.g. Meralco Data Platform (MDP).
- Reviews and evaluates high-level and low-level solution and integration designs of information systems and ensure that principles and guidelines in terms of enterprise information and data architecture are followed.
- Assists in designing the governance, assurance and standards activities associated with ensuring enterprise data architecture compliance of projects and products.
- Performs and manages the data architecture design compliance review and audit across the lifecycle of a project from RFP development up to project implementation to ensure compliance to approved architecture and technology standards.
- Manages the centralization and monitoring of R&D, Proof-of-Concept (POC), and Request for Information (RFI) and Request for Proposal (RFP) initiatives with ICT to ensure alignment and consistency to the overall roadmap and plans.
- Manages Technology Standards from its development, periodic review, trend monitoring and scanning, POC and evaluation, periodic release, and creation of programs and projects to implement the changes (invest, maintain, contain, disinvest).
- Data Modeling
- Data Integration
- Data Governance
- Data Quality Management
- Data Strategy
- Master & Reference Data Management
- Data Innovation
- Problem Management
- Design Thinking & UX
- Data Center Facility Design
- Graduate of Computer Science, Information Technology, Business, or its equivalent
- At least 5 years of relevant experience as a technical SME (i.e., experience as DB architect/admin, or experience in cloud and on-prem development and implementation)
- Experience relevant regulatory requirements and industry standards is a plus but not required
- Excellent analytical, planning, organizational and technical and skills
- Experience in creating Solution or Data Architecture
- Experience in cloud solutions
- Experience in Data Management technologies and practices
- Experience with Data Engineering practices
- Experience with Big Data in cloud solutions
- Strong knowledge of database structure systems and data mining