Principal Data Architect — Enterprise Data & AI Foundations

ASM

Phoenix (AZ)

On-site

USD 140,000 - 190,000

Full time

5 days ago
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Job summary

ASM is seeking a Data Architect to lead the enterprise data architecture as part of the Global Digital Transformation organization. You will translate business priorities into scalable data architecture and practical data solutions to support ASM’s growth, spanning product introductions, manufacturing, services, and spares.

You will own the enterprise data architecture, embedding security, governance, and AI readiness while collaborating with multiple teams to deliver measurable business impact.

Qualifications

  • 7+ years of data architecture and solutioning experience.
  • Experience in data products, lakehouse, data governance and data quality.
  • Strong SQL, Python, Spark and orchestration skills.
  • Knowledge of data governance, lineage, access control and responsible AI.
  • Experience with Databricks and cloud platforms (AWS/Azure/GCP).

Responsibilities

  • Define and govern Enterprise Data Architecture Framework.
  • Integrate key platforms (Databricks, SAP, Teamcenter, Salesforce, Celonis) into target architecture.
  • Drive architectural consistency, reuse and simplification across data platforms.
  • Lead architecture reviews and ensure designs follow standards with measurable business impact.
  • Partner with manufacturing, supply chain, engineering and services to translate priorities into scalable solutions.

Skills

Data architecture
SQL
Python
Spark
Cloud platforms
Stakeholder engagement

Education

Degree in data science/CS/engineering

Tools

Databricks
Teamcenter
Salesforce
Celonis
SAP
Power BI

Job description

ASM is seeking a Data Architect to lead the enterprise data architecture as part of the Global Digital Transformation organization. You will translate business priorities into scalable data architecture and practical data solutions to support ASM’s growth, spanning product introductions, manufacturing, services, and spares.

You will own the enterprise data architecture, embedding security, governance, and AI readiness while collaborating with multiple teams to deliver measurable business impact.

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