全职 Senior Data Architect 工作, 薪水, IBM 公司招聘中 - Ricebowl

Introduction

A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.

Your Role And Responsibilities

You will lead the architecture and design of enterprise-grade data platforms, covering traditional data warehousing, modern lake / lakehouse patterns, and emerging AI/ML workloads. The role spans on-prem Big Data platforms, open-source ecosystems, and public cloud services, with a strong emphasis on security, governance, and compliance for Singapore public sector clients.

In addition, you will actively support business development activities, shaping technical narratives and solution designs during pursuits.

Key Responsibilities

Architecture & Technical Leadership

• Lead end-to-end data architecture design across on-prem, hybrid, and cloud environments.
• Define target-state architectures, reference architectures, and phased migration roadmaps.
• Provide architectural governance and technical leadership across multiple workstreams.
  
  

Data Platforms & Integration

• Architect scalable data lake, lakehouse, and warehouse solutions using a combination of:
• Public cloud platforms (e.g. Amazon Web Services, Azure, GCP)
• On-prem Big Data platforms and MPP engines
• Open-source technologies (Spark, Kafka, Trino/Presto, Iceberg/Delta/Hudi, Airflow, etc.)
• Design secure and resilient data ingestion, integration, and access patterns.
  

Governance, Security & Compliance

• Design architectures supporting data catalog, metadata, lineage, and data quality.
• Ensure compliance with Singapore public sector security and regulatory requirements (e.g. PDPA, IM8).
• Work closely with security, infrastructure, and compliance stakeholders.
  
  

AI / ML Enablement (Advantageous)

• Architect data platforms that support advanced analytics and AI/ML workloads.
• Collaborate with data science teams on feature engineering, training pipelines, and model deployment considerations.
• Incorporate responsible AI, governance, and operational readiness into platform designs.
  
  

Proposals, Pre-Sales & Client Presentations

Contribute to and lead technical sections of proposals, including:

• Solution architecture
• Technical approach and delivery methodology
• Assumptions, risks, and dependencies
• Develop clear, compelling architecture diagrams, solution narratives, and value propositions.
• Present solutions confidently to client stakeholders, including senior IT and business leaders.
• Support client workshops, solutioning sessions, and technical deep dives during pursuits.
  
  

Preferred Education

Master's Degree

Required Technical And Professional Expertise

• 10–15 years of relevant experience in data architecture, data engineering, or platform architecture roles.
• Proven experience designing enterprise-scale data platforms across on-prem and cloud environments.
• Strong experience with open-source data technologies and modern data architectures.
• Hands-on experience with public cloud data services (not limited to a single cloud provider).
• Solid understanding of data security, governance, and compliance, particularly in regulated or public sector contexts.
• Demonstrated ability to communicate complex technical concepts clearly to non-technical stakeholders.
• Prior experience contributing to proposals, pre-sales, or client-facing solution presentations.
  
  

Preferred Technical And Professional Experience

• Experience working with Singapore government agencies or statutory boards.
• Exposure to AI / ML platform architecture and analytics-driven use cases.
• Consulting background with experience in multi-vendor, multi-stakeholder environments.
• Familiarity with data governance platforms and enterprise metadata tooling.