# Principal Data Architect, Forward Deployed Engineering at Uniphore

- Company: Uniphore
- What the company does: We enable businesses to rapidly adopt, significantly transform and immediately unlock value through our Business AI Cloud that is sovereign, composable and secure. Backed by NEA.
- Company website: https://www.uniphore.com/
- Type: Startups
- Level: Principal and up
- Location: USA - CA - Palo Alto
- Work setup: On-site
- Pay: $233K to $291K base salary per year (USD)
- Posted: 2026-09-28
- Apply by: 2026-11-12
- Apply: https://uniphore.wd503.myworkdayjobs.com/en-US/Uniphore/job/USA---CA---Palo-Alto/Enterprise-Data-Architect--Forward-Deployed-Engineering_JR101195
- Page: https://www.1752.vc/careers/jobs/uniphore-principal-data-architect-forward-deployed-engineering/

## About the role

Uniphore is the Business AI company. Our sovereign, composable and secure AI platform connects enterprise data, fine-tunes AI models and deploys agentic AI across the enterprise. We empower every worker to boost productivity and help businesses grow faster, operate smarter and reduce costs. Trusted by more than 2,000 businesses globally, and recognized on the Deloitte Fast 500, Uniphore delivers on the promise of AI as a transformative force for business.

## What they're looking for

- 12+ years in data architecture, data engineering, or enterprise data platforms, including hands-on design and delivery of large-scale data systems
- Sustained experience in complex enterprise data environments — multi-year programs spanning many source systems, business domains, and stakeholder groups — not solely short-cycle or single-system projects
- Experience as the senior-most data architect on multiple concurrent enterprise engagements, setting standards that other engineers deliver against
- Demonstrated experience designing ontologies, knowledge graphs, semantic clusters, or enterprise semantic layers spanning multiple systems. This is the core of the role
- Deep expertise in relational and NoSQL data modeling, dimensional and semantic models, and ETL/ELT pipeline design
- Working knowledge of modern warehouse and lakehouse platforms — Snowflake, Databricks, BigQuery, Redshift, or Synapse — and open table formats, sufficient to architect and advise on customer data platforms