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Sr. Azure Databricks Architect

Job in Stockton, Lanier County, Georgia, 31649, USA
Listing for: Jobs via Dice
Full Time position
Listed on 2026-01-12
Job specializations:
  • IT/Tech
    Data Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below
Location: Stockton

Job Title

Sr. Azure Databricks Architect

Location

Kennesaw, GA

Job Description

Centraprise Corp is seeking a highly experienced Azure Databricks Architect to design and deploy modern data architecture solutions across the Azure cloud platform.

Key Responsibilities
  • Architect and design end‑to‑end modern data architecture on Azure, including data lakes, data warehouses, and analytics solutions.
  • Spearhead the development of data pipelines and modeling layers using Azure Data Factory, Azure Synapse Analytics, ADLS Gen2, Databricks, and dbt.
  • Develop and maintain robust, scalable data models that support business intelligence and analytics needs, and enforce data modeling standards and best practices.
  • Drive strategy for the cloud data platform, ensuring security, governance, and cost‑effectiveness are embedded from day one.
  • Plan and execute migration of on‑premise data warehouses and databases to Azure, minimizing downtime and ensuring data integrity.
  • Collaborate closely with data engineers, analysts, and business stakeholders to understand requirements and deliver effective solutions. Mentor junior team members on best practices in cloud data architecture.
Required Experience & Skills
  • 10+ years in data engineering or architecture, with at least 4+ years in a senior or architect role focused on cloud solutions using Databricks.
  • Deep, hands‑on experience with the Azure data ecosystem, including Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), and Azure Synapse Analytics.
  • Proven expert‑level ability to design and build solutions using Databricks for large‑scale data processing (ETL/ELT) and analytics.
  • Strong, practical experience using dbt for data transformation, modeling, and testing within a cloud data warehouse environment.
  • Solid understanding of data warehousing principles, including Kimball/Inmon methodologies, dimensional modeling, and schema design.
  • Experience using Infrastructure as Code tools such as Terraform or ARM templates to define and manage cloud infrastructure.
Seniority Level

Mid‑Senior level

Employment Type

Full‑time

Job Function

Engineering and Information Technology

Industry

Software Development

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