Platform Architect

Job Title: Platform Architect – Customer Data Program

Department:
IT and Data Analytics

Location:
Makati City, Philippines

Employment Type:
Full-time | On-site / Hybrid (as applicable)

Job Summary:

The
Platform Architect
under the
Customer Data Program
is responsible for designing and optimizing scalable, secure, and high-performing
data and analytics platforms
that support enterprise-wide digital and AI initiatives. This role serves as the technical authority for solution architecture, ensuring integration, governance, and performance alignment with the organization's enterprise architecture.

The ideal candidate must have
hands-on experience in Informatica MDM and Informatica DEI
, strong expertise in
Azure data services
, and a proven ability to architect end-to-end data platforms that enable analytics, reporting, and AI solutions.

Key Responsibilities:

Solution Architecture:

• Design
  scalable, secure, and high-performance data solutions
  leveraging
  Azure services
  such as
  Azure Data Factory, Azure Databricks, Azure Data Lake
  , and related components.
• Develop and maintain
  architecture frameworks and patterns
  to support the adoption of an
  Enterprise Data Platform and AI Platform
  for analytics, reporting, and generative AI solutions.
• Ensure that all data platform designs comply with the
  bank's Enterprise Architecture guardrails
  and overall technology roadmap.
• Oversee the
  architecture, design, and optimization of the bank's Master Data Management (MDM) platform
  using
  Informatica MDM
  .
• Collaborate with cross-functional teams to integrate
  data lineage, governance processes, and data quality
  into all solution designs.

Platform Performance Optimization:

• Optimize
  ETL processes and data pipelines
  for performance, scalability, and cost efficiency.
• Provide
  technical expertise in troubleshooting and performance tuning
  , ensuring high availability and reliability of the platform.
• Implement best practices for
  cloud cost management, data query optimization, and scalability strategies
  .

Stakeholder Collaboration:

• Partner with
  data platform owners, enterprise and solution architects, business stakeholders, and delivery teams
  to align solutions with business goals and technical standards.
• Communicate architectural decisions, risks, and recommendations effectively to both technical and non-technical stakeholders.

Innovation & Continuous Improvement:

• Lead
  proof-of-concept (POC) initiatives
  to evaluate emerging tools, technologies, and methodologies in data analytics and AI.
• Champion the adoption of
  generative AI
  and other emerging data technologies aligned with the organization's strategic goals.
• Drive continuous improvement in
  architecture design, performance, and development processes
  in compliance with SDLC best practices.

Qualifications:

Education:

• Bachelor's degree in
  Information Technology, Computer Science, Engineering
  , or a related discipline.
• Master's degree or relevant certifications (e.g.,
  Microsoft Certified: Azure Solutions Architect Expert
  ,
  Informatica Certified Professional
  , or
  TOGAF
  ) is an advantage.

Experience:

• Minimum of
  8–10 years of experience
  in
  data platform architecture, solution design, or enterprise data management
  within large-scale IT organizations.
• Must have strong hands-on experience with Informatica MDM and Informatica Data Engineering Integration (DEI)
  , including design, configuration, and optimization.
• Proven expertise in
  Azure Data Factory, Azure Databricks, Azure Data Lake
  , and related Azure data services.
• Experience architecting
  data integration, data governance, and analytics solutions
  for enterprise environments (preferably in
  banking, financial services, or telecommunications
  ).
• Solid understanding of
  data modeling, data lineage, and metadata management
  principles.

Technical Skills:

• Cloud Data Platforms:
  Azure Data Factory, Azure Databricks, Azure Data Lake, Azure Synapse, Azure Cosmos DB.
• ETL & MDM Tools:
  Informatica DEI, Informatica MDM, SQL Server Integration Services (SSIS).
• Performance Optimization:
  Cloud cost management, data query tuning, and scalability engineering.
• Automation & CI/CD:
  Experience implementing
  DevOps practices
  for automated deployment and environment management.
• Data Governance:
  Familiarity with policies and frameworks for data quality, lineage, and security compliance.

Soft Skills & Core Competencies:

• Strategic Thinking:
  Ability to align platform strategies and architecture decisions with business objectives.
• Leadership:
  Provide guidance and mentorship to technical teams, fostering a collaborative engineering culture.
• Problem-Solving:
  Lead resolution of complex data platform challenges with structured, innovative solutions.
• Communication:
  Communicate complex technical concepts clearly to stakeholders at all organizational levels.
• Stakeholder Management:
  Build strong relationships across IT, business, and vendor teams to drive alignment.
• Mentorship:
  Coach and develop team members to strengthen organizational technical capability.
• Adaptability:
  Stay abreast of emerging technologies and incorporate them effectively into architectural strategies.