Principal Data Architect

Applied Materials

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$198,000–$272,500 / yr
Employment
Full-time
Posted
7 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $201k
This role $235k
$133k most similar roles pay here $287k

This role pays more than 80% of similar roles. Most pay $173,200–$229,337 — the shaded band above. At the midpoint, this role pays about $235k versus about $201k for comparable roles.

Based on 240 similar postings.

Employer

About Applied Materials

Applied Materials is the world''s largest supplier of equipment, services, and software for the semiconductor and display industries, enabling the production of chips and advanced displays. Industry: Semiconductor Equipment

Applied Materials currently has 128 open roles on FindRole.

Listed pay typically runs $139,000–$191,250 across 128 roles with salary data.

Most-posted roles

View all roles at Applied Materials

At a glance

TL;DR · Principal Data Architect

The Principal Data Architect serves as the senior technical authority for enterprise data architecture, ensuring a cohesive data landscape across large-scale transformation programs. This role involves defining target-state architectures for the data platform and BI landscape, establishing reference designs, and overseeing the S/4 transformation to ensure data is consumable for analytics and AI. The architect manages the enterprise semantic layer, defines data product operating models, and integrates governance and security into the architecture. Key technical requirements include expertise in SAP Business Data Cloud, Datasphere, Databricks, Unity Catalog, and SQL. Proficiency in Python, SQLScript, and SAP ABAP is essential for building production-grade pipelines and managed data services. The role solves complex problems regarding data consistency, quality, and security within a high-tech manufacturing environment to support advanced analytics and agentic AI consumption.

What you'll do

  • Define and own the target-state architecture for the enterprise data platform and business intelligence landscape.
  • Provide end-to-end technical leadership for complex, multi-year data transformation programs across multiple business units.
  • Act as the primary authority for S/4 data modeling, including conversion strategies and downstream analytics integration.
  • Design and govern the enterprise semantic layer to ensure consistent metrics across BI tools and AI consumption.
  • Establish data product operating models including contracts, quality standards, and lifecycle management.
  • Embed security, governance, and quality requirements into the architecture at the design phase.
  • Lead technical evaluations of vendor products and develop multi-year roadmaps for the data estate.
  • Set and enforce technical direction for internal delivery teams and external systems integrators through rigorous reviews.

What we're looking for

  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • Hands-on experience with SAP Business Data Cloud (BDC), including Datasphere modeling and Databricks integration.
  • Proficiency in SAP ABAP (OO-ABAP, CDS Views, AMDP) and SQLScript/HANA-native procedures.
  • Working knowledge of SQL and Python for pipeline development and transformation logic.
  • Experience with SAP BTP extensibility (RAP, CAP) and building governed Databricks data products using Unity Catalog.
  • Technical proficiency in Databricks technologies including Delta Lake, PySpark, and Delta Live Tables.
  • Demonstrated ability to set technical direction and drive decisions across organizational boundaries without formal reporting authority.
  • Experience in semiconductor or high-tech manufacturing environments (preferred); advanced degree in a relevant technical discipline (preferred).

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