Hybrid Data Architecture Leader for BI, AI & Cloud

Hammerjack Pty Ltd; Philippines; Hybrid; PHP 800,000 - 1,200,000; Full time

Job summary

Hammerjack Pty Ltd is seeking an experienced Enterprise Data Architect to define and govern data architecture across ingestion, integration, storage, and analytics. You will establish scalable patterns, metadata, lineage, and governance to ensure trusted, compliant data for BI, automation, and AI initiatives.

The role requires 5+ years in data architecture or enterprise data platforms, strong leadership, and expertise in cloud data platforms, SQL, ETL/ELT, and APIs.

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Engineering, or Data Management (or related field).
• 5+ years in data architecture, data engineering, or enterprise data platforms.
• Strong leadership and management skills.
• Knowledge of data architecture, modeling, governance, security, and cloud data platforms.
• Experience with cloud data platforms, SQL, ETL/ELT, APIs, and BI environments.
• Familiarity with automation and AI/ML data requirements preferred.

Responsibilities

• Define enterprise data architecture, target-state designs and roadmaps across ingestion, integration, storage and analytics.
• Establish data models, metadata, lineage, and canonical definitions for reuse.
• Design architectures for data pipelines, data warehouses/lakehouses, cloud platforms, and data accessibility.
• Embed governance, security, privacy, retention, and regulatory requirements into standards.
• Evaluate platforms, conduct design reviews, and guide teams on scalability, performance, and cost tradeoffs.

Skills

Leadership

Data architecture

Data modeling

Cloud data platforms

SQL

ETL/ELT

APIs

BI/Analytics

Governance

Communication

Education

Bachelor's degree in Computer Science/Information Systems/Engineering/Data Management

Tools

ETL/ELT tools

Orchestration tools

Job description

Hammerjack Pty Ltd is seeking an experienced Enterprise Data Architect to define and govern data architecture across ingestion, integration, storage, and analytics. You will establish scalable patterns, metadata, lineage, and governance to ensure trusted, compliant data for BI, automation, and AI initiatives.

The role requires 5+ years in data architecture or enterprise data platforms, strong leadership, and expertise in cloud data platforms, SQL, ETL/ELT, and APIs.