A digital platform for infrastructure consultingHiring

Principal Data Architect

  • Remote, United States
  • Lead
  • Posted 5 days ago
In one line

Principal data architect to design and build an enterprise data foundation for a digital platform, working hands-on with engineering teams.

About the role

The team is building a unified data layer across multiple firms, enterprise systems, and digital products. Success means defining a long-term architecture while shipping practical solutions that support analytics, AI, and daily operations.

At a glance

Pay
Not stated in the posting
Remote scope
Remote, United States
Seniority
Lead
Skills
Microsoft Azure, Databricks, Microsoft Fabric, Snowflake, SQL, Python, ETL/ELT, RAG
Posted
30 Oct 2026
Last checked
3 Nov 2026

What you will do

  • Define and evolve the data architecture for scalability, security, reliability, and flexibility.
  • Design cloud-based data platforms including lakes, lakehouses, and warehouses.
  • Develop enterprise data models and common definitions across business domains.
  • Set standards for data quality, ownership, lineage, metadata, and access controls.

What they look for

  • Experience with Azure, Databricks, Microsoft Fabric, Snowflake, or similar platforms.
  • Proven design and implementation of enterprise-scale cloud data platforms.
  • Familiarity with AI/ML data needs such as vector databases, embeddings, and RAG.

Nice to have

  • Familiarity with AEC industry data and systems like Deltek Vantagepoint, Autodesk, Esri ArcGIS, Bentley, or document management platforms.

How Keywordise applies for you

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Connector URL
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Connector URL
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Message for Muse
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Muse is available in the US only for now.

Prompt
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How to connect

Questions about this job

Is this job fully remote, and from where?

Yes, it is listed as remote, aimed at candidates in the United States.

What does this job pay?

The posting does not state a salary, so there is no figure to quote.

What experience is needed?

It is a lead role. The posting asks for: experience with Azure, Databricks, Microsoft Fabric, Snowflake, or similar platforms; proven design and implementation of enterprise-scale cloud data platforms; familiarity with AI/ML data needs such as vector databases, embeddings, and RAG. Skills it names include Microsoft Azure, Databricks, Microsoft Fabric, Snowflake.

How do I apply with Keywordise AI?

Select Apply with Keywordise AI, sign up and upload your CV. Keywordise writes a CV and a cover letter for this job from your real experience and applies for you. The 7-day free trial needs no card.

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