Search by job, company or skills

KPMG Philippines

Senior Manager- Modern Data Platform Architecture

10-15 Years
Save
  • Posted 6 days ago
  • Be among the first 10 applicants
Early Applicant

Job Description

Job Overview:

The Modern Data Platform (MDP) Architect designs, builds and operates enterprise-grade data and analytics platforms using modern, cloud-native and platform-agnostic architecture patterns, implemented on data platforms. The role enables organisations to deliver trusted data, analytics, business intelligence (BI) and artificial intelligence/machine learning (AI/ML) use cases in a scalable, secure and cost-effective manner.

Experience (Role Level Determination)

MDP Architect

  • 10–15+ years of data and analytics experience.
  • 7–10+ years designing enterprise scale data platforms.
  • Proven experience defining platform agnostic data strategies and architectures.

Key Responsibilities

  • Data platform design and delivery (platform-agnostic)
  • Design and deliver modern data platforms using cloud-agnostic patterns (data lakes, lakehouses and data warehouses), supporting batch, streaming and near real-time processing.
  • Build data ingestion, transformation and analytics pipelines, and enable data consumption for reporting, analytics and downstream applications.
  • Support integration across cloud platforms and data technologies, aligning to client architecture, security and operating model requirements.

Architecture and platform standards (Architect focus)

  • Define Modern Data Platform reference architectures and standards independent of vendor or cloud (including ingestion, modelling, governance, security and access).
  • Design scalable, resilient and cost-optimised architectures and provide architectural oversight across delivery teams.

Data Engineering, Analytics & AI Enablement

• Develop and optimise data pipelines and transformations.

• Design analytical and reporting data models.

• Implement data quality, metadata, and lineage practices.

• Support advanced analytics and AI/ML enablement where required.

Operations, Governance & Optimisation

• Define monitoring, performance tuning, and cost management practices.

• Ensure data security, privacy, and compliance controls are applied.

• Support platform lifecycle management, CI/CD, and environment strategy.

• Contribute to platform documentation, standards, and operational runbooks.

Collaboration & Advisory

• Collaborate with business users, analysts, data scientists, and IT teams.

• Advise stakeholders on technology choices and architectural trade-offs.

• Mentor junior developers and consultants (Senior / Architect level).

More Info

Job Type:
Industry:
Employment Type:

About Company

Job ID: 151301403