Business Intelligence Data Architect (US Shared Service)

Canon Business Process Services; Pasig; Hybrid; PHP 900,000 - 1,300,000; Full time

Job summary

Canon Business Process Services is seeking an experienced Data Architect to lead enterprise data architecture, governance, and platform design. You will shape target-state patterns for ingestion, storage, analytics, and AI, while guiding teams on scalable, secure solutions.

You will collaborate across data engineering, BI, and applications to ensure trusted data and compliant data flows, with emphasis on metadata, lineage, and cost-aware cloud architectures.

Qualifications

• Hybrid environment and night-shift availability required.
• Bachelor's degree or equivalent experience in related field.
• Proven leadership and management capabilities.
• Minimum 5 years in data architecture or data platforms.
• In-depth knowledge of data governance, metadata, lineage, and security.
• Experience with cloud data platforms, data warehouses, ETL/ELT, APIs, and BI.

Responsibilities

• Define enterprise data architecture, target-state designs, standards, and roadmaps across ingestion, integration, storage, transformation, analytics, application, and AI layers.
• Establish data models, metadata, lineage, master data, and semantic patterns for consistency.
• Define architectures for data pipelines, warehouses/lakehouses, cloud platforms, and both structured and unstructured data.
• Embed governance, quality, security, privacy, retention, resiliency, and regulatory requirements into architectural standards.
• Evaluate platforms and data sources, conduct design reviews, document decisions, and guide teams on scalability and cost tradeoffs.

Skills

Hybrid environment

Night shift

Leadership

5+ years experience

Data architecture

Data modeling

Metadata & lineage

Data governance

Security

Analytical design

Cloud data architecture

Education

Bachelor's degree in Computer Science/IS/Engineering/Data Management

Tools

SQL

Data warehouses / lakehouses

ETL/ELT

Orchestration

APIs

BI/Analytics environments

Cloud platforms

Job description

Defines and governs enterprise data architecture supporting business intelligence, applications, automation, and artificial intelligence. Establishes scalable, secure, and cost-effective patterns for data ingestion, integration, storage, modeling, governance, metadata, lineage, and consumption. Evaluates source systems, data flows, platforms, and technical requirements and translates them into target-state architectures, standards, and roadmaps. Provides architectural direction so data is trusted, accessible, reusable, compliant, and ready for future business needs.

• Define enterprise data architecture, target-state designs, standards, and roadmaps across ingestion, integration, storage, transformation, analytics, application, and AI layers.
• Establish data models, canonical definitions, metadata, lineage, master/reference data, and semantic patterns that promote consistency and reuse.
• Define architectures for data pipelines, APIs, warehouses/lakehouses, cloud platforms, and structured and unstructured data.
• Embed data governance, quality, security, privacy, access, retention, resiliency, and regulatory requirements into architectural standards.
• Evaluate platforms and data sources, conduct design reviews, document decisions, and guide teams on scalability, performance, and cost tradeoffs.

Job Qualifications:

• Can work in a Hybrid environment and in a Night-shift schedule
• Bachelor's degree in Computer Science, Information Systems, Engineering, Data Management, or related field; equivalent relevant experience may be considered.
• Strong leadership and management skills
• At least 5 years of experience in data architecture, data engineering, enterprise data platforms, or related disciplines, including experience designing enterprise-scale data solutions.
• Knowledge of enterprise data architecture, data modeling, integration patterns, metadata and lineage, data governance, security, cloud data architecture, and analytical/semantic design.
• Experience with cloud data platforms, data warehouses/lakehouses, SQL, data modeling tools, ETL/ELT and orchestration technologies, APIs, and BI/analytics environments.
• Familiarity with programming, automation, and AI/ML data requirements preferred.
• Strong architecture, problem-solving, communication, and documentation skills; ability to establish standards and influence technical and business stakeholders.