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Azure Architect

  • Azure Architect job type Posted on: Oct 12, 2026
  • Azure Architect experience level Openkyber
  • Azure Architect employment type Atlanta, Georgia
  • Azure Architect employment type Onsite
  • Azure Architect salary Full-time

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Job Title :

Azure Architect

Job Type :

Full-Time

Job Location :

Atlanta Georgia United States

Remote :

No

Jobcon Logo Job Description :

Databricks Developer/Architect to support AI Builds

Looking for an experienced consultant to spearhead a large-scale enterprise data warehouse (EDW) modernization initiative. This role supports AI builds related to migration from a 20- year-old SQL-based EDW to Databricks. Plan is for Full re-engineering of ETL pipelines and data models rather than a simple "lift-and-shift" migration.

Requirements & Qualifications

Experience: 8 10 years in software development and deployment, with at least 7 years of hands on experience in SQL, Databricks, and ETL tools.

Technical Stack: Platforms: Databricks, Azure Data Factory (ADF), DataStage. Languages: Advanced SQL and Python (specifically for raw data processing and Kafka ingestions). BI & Tools: Knowledge of SSAS cubes, Cognos, Tableau, and Thoughtspot.

Skills: Expertise in API data ingestion, No-SQL databases, and designing scalable data architecture for BI systems.

For applications and inquiries,

Jobcon Logo Position Details

Posted:

Oct 12, 2026

Reference Number:

90015-38381

Employment:

Full-time

City:

Atlanta

Job Origin:

CIEPAL_ORGANIC_FEED

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Databricks Developer/Architect to support AI Builds

Looking for an experienced consultant to spearhead a large-scale enterprise data warehouse (EDW) modernization initiative. This role supports AI builds related to migration from a 20- year-old SQL-based EDW to Databricks. Plan is for Full re-engineering of ETL pipelines and data models rather than a simple "lift-and-shift" migration.

Requirements & Qualifications

Experience: 8 10 years in software development and deployment, with at least 7 years of hands on experience in SQL, Databricks, and ETL tools.

Technical Stack: Platforms: Databricks, Azure Data Factory (ADF), DataStage. Languages: Advanced SQL and Python (specifically for raw data processing and Kafka ingestions). BI & Tools: Knowledge of SSAS cubes, Cognos, Tableau, and Thoughtspot.

Skills: Expertise in API data ingestion, No-SQL databases, and designing scalable data architecture for BI systems.

For applications and inquiries,

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