Data Architecture Head

Hrtx; Taguig; On-site; PHP 2,500,000 - 3,500,000; Full time

Job summary

A global AI platform company in Metro Manila seeks a visionary Head of Data Architecture to lead the design of its enterprise-wide data backbone. This role is crucial for unifying data across essential functions such as CAD, Finance, and Operations, ensuring a scalable foundation for analytics and business decision-making. Candidates should have expertise in building cloud-native data platforms and experience with tools like Snowflake and BigQuery, along with strong leadership skills to mentor a team of data engineering professionals.

Qualifications

• Proven track record of designing and scaling enterprise-level, cloud-native data platforms.
• Hands-on expertise with Snowflake, BigQuery, and orchestration tools.
• Strong leadership presence with the ability to recruit and inspire talent.

Responsibilities

• Design and implement enterprise-wide data architecture connecting critical business domains.
• Lead development of data models, pipelines, and governance standards.
• Ensure delivery of reliable datasets for AI, ML, and analytics.

Skills

Leadership and team management

Cloud-native data platforms

Data architecture design

Communication skills

Collaboration

Tools

Snowflake

BigQuery

dbt

Airflow

Job description

We are seeking a visionary Head ofData Architecturefor a global company building AI platforms from scratchto lead the design and execution of our enterprise-wide data backbone. This leader will unify data across CAD, Finance, Operations, and GTM functions, ensuring our organization has a trusted, scalable foundation for analytics, AI, and business decision-making.

Responsibilities

• Design, implement, and own the enterprise-wide data architecture that connects critical business domains (CAD, Finance, Operations, GTM).
• Lead the development and maintenance of data models, pipelines, lineage, quality frameworks, adnd governance standards.
• Ensure the delivery of reliable, well-documented datasets to enable AI, ML, and advanced analytics use cases.
• Establish and enforce best practices for data management, scalability, and cloud-native architectures.
• Collaborate with cross-functional stakeholders to translate business needs into data solutions.
• Build, lead, and mentor a high-performing team of data engineers and architects.

Requirements

• Proven track record of designing and scaling enterprise-level, cloud-native data platforms beyond reporting and BI.
• Hands-on expertise with Snowflake or BigQuery , along with modern orchestration and transformation tools (e.g., dbt, Airflow ) in AWS, GCP, or Azure environments.
• Demonstrated impact through enabling AI/ML and advanced analytics initiatives
• Strong leadership presence: ability to recruit, develop, and inspire data engineering talent.
• Excellent communication and collaboration skills, with experience working across executive, technical, and operational teams.