Jobfoundry
Jobfoundry
Illumina

Architect - Data Engineering and Analytics

Illumina
BiotechSingapore - Woodlands - NorthTechOnsitePosted 3 weeks ago
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About the role

AI summarised

The Data Architect is a senior, hands-on technical leadership role responsible for defining, designing, and delivering data architecture and data products across Finance, Supply Chain, Manufacturing, Sales, and Service domains. This role combines deep technical execution with strategic architectural leadership to enable trusted analytics, self-service BI, and advanced analytics. The architect will work with Databricks and Snowflake to build scalable data platforms, use Erwin for data modeling, and partner with governance teams to ensure data quality and compliance.

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
  • Develop enterprise and domain data models using Erwin data modeling tool
  • 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
  • Collaborate with business leaders, product owners, and technology teams to translate business requirements into data solutions

Requirements

  • Typically requires a minimum of 12 years of related experience with a Bachelor’s degree; or 8 years and a Master’s degree; or a PhD with 5 years of experience; or equivalent 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
  • Experience with domain-oriented or data product-based operating models
  • Familiarity with advanced analytics, AI/ML enablement, and analytics platforms
  • Experience working in global, distributed teams using Agile delivery methodologies
  • Proficiency in Cloud Platforms: AWS, Microsoft Azure, Google Cloud Platform (GCP)
  • Proficiency in Data Platforms: Databricks, Snowflake
  • Proficiency in Data Modeling & Architecture: Erwin, Lucid, dimensional modeling, semantic modeling
  • Proficiency in Analytics & BI: Tableau, Power BI
  • Proficiency in Languages & Engineering: DBT, SQL, Python, ETL/ELT, orchestration frameworks
  • Knowledge of Governance: Data catalog, metadata management, data quality, lineage