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Databricks Architect

  • Databricks Architect job type Posted on: Oct 12, 2026
  • Databricks Architect experience level SFE
  • Databricks Architect employment type Albany, New York
  • Databricks Architect employment type Onsite
  • Databricks Architect salary Full-time
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Job Title :

Databricks Architect

Job Type :

Full-Time

Job Location :

Albany New York United States

Remote :

No

Jobcon Logo Job Description :

Role: Databricks Architect Lakehouse & Data Governance
Location: St. louis, MO/ Arlington, VA/ NYC, NY & NJ (hybrid)
Hire Type: Contract
Job Description:
Front-facing techno-functional Databricks architecture & data governance leadership
Role Overview
We are seeking a highly experienced Databricks Architect / Primary Architect Databricks Lakehouse & Data Governance to lead the architecture, governance, security, and modernization of enterprise data platforms on Databricks. The role will serve as the architectural authority for Databricks initiatives from requirement intake and solution design through implementation and production support, partnering with business stakeholders, data owners, governance bodies, security, application teams, data engineering teams, source-system SMEs, vendors, and leadership.

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Jobcon Logo Position Details

Posted:

Oct 12, 2026

Reference Number:

85353-7542

Employment:

Full-time

City:

Albany

Job Origin:

CIEPAL_ORGANIC_FEED

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Role: Databricks Architect Lakehouse & Data Governance
Location: St. louis, MO/ Arlington, VA/ NYC, NY & NJ (hybrid)
Hire Type: Contract
Job Description:
Front-facing techno-functional Databricks architecture & data governance leadership
Role Overview
We are seeking a highly experienced Databricks Architect / Primary Architect Databricks Lakehouse & Data Governance to lead the architecture, governance, security, and modernization of enterprise data platforms on Databricks. The role will serve as the architectural authority for Databricks initiatives from requirement intake and solution design through implementation and production support, partnering with business stakeholders, data owners, governance bodies, security, application teams, data engineering teams, source-system SMEs, vendors, and leadership.

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