Lead Analytics Engineer — Gold Data Layer

Newport World Resorts; Pasay; On-site; PHP 1,200,000 - 2,000,000; Full time

Job summary

Newport World Resorts is seeking a senior Analytics/Data Engineer to design, govern, and accelerate the creation of curated enterprise datasets that support analytics, ML, and digital products. You will lead the Gold-layer modeling, define standards, and mentor engineers to deliver scalable data assets aligned with business goals.

You will collaborate with Data Engineering, Data & Analytics, Digital Product, and IT teams to ensure data is well-documented, trusted, and actionable for strategic

Qualifications

• Minimum 5 years of experience in analytics engineering, data engineering, or data modelling roles.
• Strong hands-on experience designing dimensional models and curated datasets.
• Proven experience with modern data warehouse platforms (e.g., Snowflake or equivalent).
• Experience translating business logic into structured data models.
• Experience mentoring junior engineers or providing technical leadership.

Responsibilities

• Design and develop curated datasets to support enterprise reporting, analytics, and digital platform requirements.
• Establish dimensional models, fact tables, and standardized data structures aligned with business definitions.
• Ensure consistency of metrics, KPIs, and business logic across datasets.
• Validate accuracy and usability of curated datasets prior to production release.
• Maintain reusable modeling patterns and standardized transformation logic.
• Establish modeling standards including naming conventions, schema design, and documentation practices.
• Provide technical leadership in dimensional modeling and semantic structure development.
• Review and approve modeling designs created by data engineers.
• Ensure business definitions are consistently implemented across datasets.
• Promote modeling best practices that improve scalability and maintainability.
• Identify and prioritize high-value datasets that deliver immediate business impact.
• Lead delivery of foundational datasets that support early analytics and reporting needs.
• Work with stakeholders to define and deliver quick-win data solutions.
• Support rapid deployment of datasets required for operational and decision-making use cases.
• Collaborate with Data Engineers to ensure smooth transformation from Silver to Gold layers.
• Work closely with Data & Analytics teams to translate analytical requirements into structured datasets.
• Support Digital Product teams with curated datasets required for platform functionality.
• Participate in cross-functional planning and delivery initiatives.
• Provide guidance to data engineers on modelling practices and transformation logic.
• Review data models and provide technical feedback to improve quality.
• Support skill development and knowledge sharing within the team.
• Promote engineering discipline and continuous improvement practices.
• Performance Management: Manage and drive high performance among direct reports, and help them achieve their performance goals.
• Coaching and Mentoring: Provides guidance to direct reports in performing their areas of responsibility, and supports their growth and development.
• Employee Engagement: Implement initiatives and provide a work environment that will promote employee engagement and high commitment to the company.

Skills

Data modelling

Dimensional modelling

Data governance

Mentoring

Leadership

ETL/ELT design

Education

Bachelor's degree in Computer Science, Information Systems, Data Engineering, Mathematics, or related

Tools

Snowflake

Data warehouse platforms

Job description

Newport World Resorts is seeking a senior Analytics/Data Engineer to design, govern, and accelerate the creation of curated enterprise datasets that support analytics, ML, and digital products. You will lead the Gold-layer modeling, define standards, and mentor engineers to deliver scalable data assets aligned with business goals.

You will collaborate with Data Engineering, Data & Analytics, Digital Product, and IT teams to ensure data is well-documented, trusted, and actionable for strategic