Jobfoundry
Jobfoundry
Illumina

Architect - Data Engineering and Analytics

Illumina
BiotechSingapore - Woodlands - NorthTechOnsitePosted 4 weeks ago
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About the role

AI summarised

A senior, hands-on technical leadership role responsible for defining, designing, and delivering robust data architecture and data products across Finance, Supply Chain, Manufacturing, Sales, and Service domains. This role merges deep technical execution with strategic architectural leadership to enable trusted analytics, self-service BI, and advanced analytics.

BiotechOnsite

Key Responsibilities

  • Define, own, and evolve data architecture, including conceptual, logical, and physical data models.
  • Design and deliver scalable, governed data products aligned to business domains and enterprise standards.
  • Lead architecture for cross-functional initiatives spanning Finance, Supply Chain, Manufacturing, Sales, and Service.
  • Architect, design, and optimize data platforms using Databricks and Snowflake.
  • Establish and enforce data modeling standards, semantic layers, and analytics-ready data structures.
  • Enable self-service and executive analytics through well-designed data layers for Tableau and Power BI.
  • Partner with Data Governance teams to implement metadata management, data quality, lineage, and compliance practices.
  • Mentor and provide technical leadership to data architects, data engineers, and analytics engineers.

Requirements

  • Minimum 12 years of related experience with a Bachelor’s degree, or 8 years with a Master’s degree, or PhD with 5 years of experience.
  • Extensive experience in data architecture, data engineering, and analytics architecture.
  • Proven hands-on experience designing and delivering data platforms and data products at scale (leveraging SAP S/4, Siemens Teamcenter(PLM) /Camstar (MES), Salesforce, Workday transactional systems).
  • Strong expertise in data modeling, semantic modeling, and analytics enablement.
  • Demonstrated experience working across multiple business domains (Finance, Supply Chain, Manufacturing, Sales, Service).
  • Excellent communication and stakeholder management skills.
  • Proficiency in SQL, Python, ETL/ELT, and orchestration frameworks.