Principal Data Architect - Santa Clara, CA, United States
$198,000 - $272,500 USD yearly
Originally posted 22 September 2026 by the employer.
About the role
This role involves serving as the senior technical authority for enterprise data architecture, accountable for the coherence of the data landscape across large-scale transformation programs.
What you'll do
- Define and own the target-state architecture for the data platform and BI landscape.
- Provide end-to-end technical leadership for complex, multi-year data transformation programs.
- Act as the data architecture authority to the S/4 program, owning data model and master data implications.
- Define and own the data product operating model, architecting high-impact enterprise data products.
- Own the design and governance of the enterprise semantic layer for consistent metric definitions.
- Set and enforce technical direction for internal delivery teams, systems integrators, and contingent technical staff.
What you'll need
- Hands-on architecture experience with SAP Business Data Cloud (BDC), including Datasphere data modeling.
- Proficiency in SAP ABAP (OO-ABAP, CDS Views, AMDP) and SQLScript/HANA-native procedures.
- Working knowledge of SQL and Python for pipeline development and Datasphere/Databricks transformation logic.
- Experience with SAP BTP extensibility (RAP, CAP) and BDC data products / Delta Sharing.
- Familiarity with SAP Analytics Cloud (SAC) or BW/BW4HANA integration, and CI/CD or transport-based version control.
- Hands-on experience building governed Databricks data products using Unity Catalog.
- Experience designing and operating a semantic layer within Databricks.
- Technical proficiency in Databricks — Delta Lake, PySpark/Spark SQL, Delta Live Tables, and workspace/job orchestration.
- Demonstrated ability to set technical direction and drive decisions across organizational boundaries.
- Bachelor's degree in Computer Science, Engineering, or related field.
Nice to have
- Experience in semiconductor, high-tech manufacturing, or another complex global manufacturing environment.
- Experience architecting for AI and agentic consumption of enterprise data.
- Working knowledge of data security posture management, classification, and privacy-by-design in a regulated enterprise.
- Experience defining technical acceptance criteria for and managing the quality of systems integrator delivery.
- Advanced degree in a relevant technical discipline.
Skills: enterprise data architecture, data platform, BI landscape, S/4 transformation, AI/ML platform engineering
This role has been open 19 days — well below the 53-day median for Infrastructure/Platform Software roles.
Infrastructure/Platform Software · Infrastructure Platform
|
Open roles in category
923
|
Median days open
53 d
|
Median salary
$229k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Applied Materials | All employers we track in this specialty (923 roles · 86 employers) |
|---|---|---|
| Open roles in this specialty | 9 | 923 |
| Open roles in the wider Software, Firmware & Systems family | 154 | 6028 · 146 employers |
| Median days open | 82 d | 53 d (+29 d vs this employer) |
| Median salary (USD postings) | — | $229k |
Skills observed across this category: enterprise data architecture, data platform, BI landscape, S/4 transformation, AI/ML platform engineering
Who's hiring in this category
- NVIDIA · 255 open roles · median 48 d
- Qualcomm · 60 open roles · median 60 d
- AMD · 51 open roles · median 30 d
- Graphcore · 44 open roles · median 86 d
- Cerebras · 39 open roles · median 76 d
- Intel Corporation · 36 open roles · median 15 d
How we counted: 923 open Infrastructure/Platform Software (Infrastructure Platform) roles from 86 employers tracked in the SemiconductorJobs index, counted 11 Oct 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Software, Firmware & Systems family row. Figures refresh nightly.