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Cloud Database Architect

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Virginia

Remote

USD 100,000 - 140,000

Full time

Yesterday
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Job summary

A leading company is seeking a Cloud Database Architect for a remote role with restricted approved locations. The ideal candidate will have expertise in SQL, Microsoft Azure, and cloud-based data architecture, responsible for ensuring high availability and performance of both production and non-production database environments while driving automation and scalability.

Qualifications

  • 3+ years in enterprise data solutions.
  • Managed production databases in large-scale environments for 3+ years.
  • Experience with Azure SQL and related services.

Responsibilities

  • Architect and maintain Azure-based data solutions.
  • Support production databases ensuring performance and disaster recovery.
  • Automate deployments and monitoring processes.

Skills

SQL
Azure
Automation
Cloud-native technologies
Data integration tools
Python
PowerShell

Tools

Azure Data Factory
GitHub
SQL Server
Azure Functions

Job description

1 week ago Be among the first 25 applicants

Job Title: Cloud Database Architect

Location: Richmond, VA (REMOTE with Restricted Approved Locations)

Employment Type: Full Time Direct Hire

Position Summary:

We are seeking a Cloud Database Architect with deep expertise in SQL, Microsoft Azure, and modern cloud-based data architecture. This role is responsible for supporting, maintaining, reporting, and monitoring production and non-production database environments with an emphasis on automation, scalability, and high availability. The ideal candidate will have strong hands-on experience across cloud platforms, scripting, data integration tools, and cloud-native technologies.

Key Responsibilities:

  • Architect, build, and maintain scalable, secure, and high-performing Azure-based data solutions.
  • Support and manage production and non-production databases, ensuring high availability, performance tuning, and disaster recovery.
  • Develop and manage automation for deployments, backups, monitoring, and recovery processes.
  • Implement and monitor cloud cost controls, efficiency strategies, and access management.
  • Create and maintain SQL Agent Jobs, SSIS packages, and Azure Data Factory workflows.
  • Collaborate with DevOps and engineering teams using GitHub, Artifactory, and automation tools.
  • Maintain cloud services, dashboards, analytics, reporting, logging, and user access policies.
  • Work with Azure Modern Data Warehouse Services, Managed Instances, Integration Runtime, and Reservations.
  • Support and integrate Snowflake where applicable in data pipelines and processing workflows.

Technical Skills:

Programming & Scripting:

  • T-SQL
  • PowerShell
  • Python
  • C#
  • Bash

Infrastructure as Code:

  • ARM (Azure Resource Manager) templates
  • CFT (CloudFormation Templates)

Tools & Platforms:

  • Azure (including ADF, Synapse, MI, Functions, Reservations)
  • Google Cloud (nice to have)
  • GitHub, Artifactory
  • Redgate tools (SQL Compare, SQL Monitor, etc.)
  • SQL Server
  • Linux and Windows environments

Cloud Expertise:

  • In-depth understanding of cloud technologies, including:
    • Reporting & Analytics
    • Monitoring & Logging
    • Cloud Functions & Services
    • Dashboard creation
    • Query optimization
    • Access and Identity Management
Required Qualifications:

  • 3+ years of developing enterprise data and database solutions.
  • 3+ years managing production databases in large-scale environments.
  • 2+ years of experience implementing and managing cloud-based data platforms (preferably in Azure).
  • Strong knowledge of relational and cloud-native databases.
  • Demonstrated experience with Azure SQL, ADF, Integration Runtime, and related services.
  • Familiarity with DevOps practices and integration of cloud infrastructure via IaC.

Preferred Certifications:

  • Microsoft Certified: Azure Data Fundamentals
  • Microsoft Certified: Azure Data Engineer Associate
  • Microsoft Certified: Azure Database Administrator Associate
  • Microsoft Certified: Azure Data Scientist Associate

Soft Skills:

  • Excellent problem-solving, troubleshooting, and analytical skills.
  • Strong communication and documentation abilities.
  • Ability to manage multiple priorities in a fast-paced environment.
  • Willingness to learn new technologies and contribute to innovation.

#DICE

Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Information Technology
  • Industries
    Software Development

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