Woofy WIFI (Woofy Inc.)
Senior Enterprise Data Platform Manager
Skills
17 days ago
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Important information
Contract type:
Permanent
Location:
Pasay City, Metro Manila, Philippines
Work mode:
Onsite
Published on:
7 October 2026
What they need
Job Summary
The Senior Enterprise Data Platform Manager will lead the design, build, operation, and continuous improvement of the company’s Enterprise Data Platform (EDP). The role will unify data from multiple business applications into secure, reliable, and well-managed data products that support reporting, analytics, operational decision-making, and future AI initiatives.
Key Responsibilities
· Define and deliver the EDP roadmap, architecture, priorities, and operating model.
· Lead the integration, transformation, storage, and delivery of data from operational systems and databases.
· Establish reliable data pipelines, data models, quality controls, access controls, monitoring, documentation, and recovery processes.
· Manage the EDP team, including data engineers, DBA(s), BI/data analysts, and external technical partners as required.
· Partner with business units to identify priority data needs and deliver usable reports, datasets, dashboards, and analytical capabilities.
· Implement data governance practices, including data ownership, common definitions, data cataloguing, lineage, privacy, retention, and access policies.
· Ensure the platform is secure, scalable, cost-effective, and aligned with business and technology strategy.
Qualifications:
· Degree in Computer Science, Information Technology, Engineering, Data Management, or a related field.
· Significant experience in data engineering, database administration, data architecture, analytics platforms, or enterprise systems.
· Experience building and operating data integration pipelines, data warehouses/lakes, APIs, and cloud or hybrid data environments.
· Strong knowledge of SQL, database technologies, data modelling, security, and data quality practices.
· Proven experience leading technical teams and working with business stakeholders.
· Experience with data governance, BI, cloud platforms, and AI/ML data readiness is an advantage.
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