Business Intelligence Data Architect (US Shared Service)

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

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.