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Azure Data Platform Engineer Jobs in Tennessee (NOW HIRING)

Senior Data Engineer

Memphis, TN ยท On-site

$95K - $129K/yr

The role requires deep experience with cloud data platforms, strong Python and SQL skills, and the ... Experience with Microsoft Fabric, OneLake, Azure Data Factory, or equivalent cloud data ...

Senior Data Engineer

Memphis, TN ยท On-site

$95K - $129K/yr

The role requires deep experience with cloud data platforms, strong Python and SQL skills, and the ... Experience with Microsoft Fabric, OneLake, Azure Data Factory, or equivalent cloud data ...

Senior Data Engineer

Memphis, TN ยท On-site

$95K - $129K/yr

The role requires deep experience with cloud data platforms, strong Python and SQL skills, and the ... Experience with Microsoft Fabric, OneLake, Azure Data Factory, or equivalent cloud data ...

... Cloud Platforms [e.g., AWS Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, or ...

Senior Data Engineer

Memphis, TN ยท On-site

$103K - $140K/yr

... platform infrastructure within a medallion architecture, while ensuring compliance and data ... Azure-based or Microsoft Fabric environments. โ€ข Hands-on experience designing enterprise data ...

Working knowledge of Microsoft Azure Data platforms in support of hybrid environments. * Experience ... Familiarity with modern data engineering tools such as Databricks, Delta Lake, or Snowflake ...

Data Engineer - Senior Associate

Nashville, TN ยท On-site

$77K - $202K/yr

... in Cloud Platforms [e.g., AWS Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate ...

... platforms * Google Cloud Certified Professional Data Engineer Preferred or Microsoft Certified: Azure Data Engineer or AWS Certified Data Analytics preferred Parallon, offers a total rewards package ...

... platforms * Google Cloud Certified Professional Data Engineer Preferred or Microsoft Certified: Azure Data Engineer or AWS Certified Data Analytics preferred Parallon, offers a total rewards package ...

Showing results 21-40

Azure Data Platform Engineer information

What is an Azure Data Platform Engineer?

An Azure Data Platform Engineer is a technology professional who specializes in designing, building, and managing data solutions on Microsoft Azure. They work with services such as Azure SQL Database, Azure Data Factory, Azure Synapse Analytics, and other cloud-based data technologies to ensure efficient data storage, processing, integration, and analytics. Their role often involves implementing data pipelines, managing data security, optimizing performance, and supporting data-driven decision-making for organizations. Azure Data Platform Engineers typically collaborate with data scientists, analysts, and software developers to deliver robust and scalable data solutions.

What are the key skills and qualifications needed to thrive as an Azure Data Platform Engineer?

To thrive as an Azure Data Platform Engineer, you need expertise in data modeling, SQL, cloud architecture, and a strong understanding of Microsoft Azure services, typically supported by a degree in computer science or related fields. Familiarity with Azure Data Factory, Azure SQL Database, Databricks, and certifications like Microsoft Certified: Azure Data Engineer Associate are valuable. Strong analytical thinking, problem-solving skills, and effective communication set top performers apart in this role. These skills ensure the efficient design, deployment, and management of robust data solutions that support business intelligence and analytics needs.

What are some common challenges Azure Data Platform Engineers face when integrating data from multiple sources?

Azure Data Platform Engineers often encounter challenges when consolidating data from diverse sources, such as differing data formats, inconsistent data quality, and varying update frequencies. Addressing these issues typically involves designing robust data pipelines using Azure Data Factory or Synapse, implementing effective data transformation and cleansing routines, and ensuring secure, compliant data movement. Collaborating closely with data architects and business analysts is essential to align technical solutions with organizational data governance and integration requirements.

What is the difference between Azure Data Platform Engineer vs Data Engineer?

AspectAzure Data Platform EngineerData Engineer
CertificationsAzure certifications (e.g., DP-203)General data engineering certifications (e.g., Google Cloud, AWS)
Work EnvironmentPrimarily cloud-based, Azure ecosystemOn-premises, cloud, or hybrid environments
Industry UsageOrganizations using Microsoft AzureVarious industries, broader data infrastructure roles
FocusDesigning, implementing, and managing Azure data solutionsBuilding and maintaining data pipelines and architectures

The Azure Data Platform Engineer specializes in Azure cloud data solutions, while the Data Engineer has a broader scope across different platforms and environments. Both roles require strong data management skills, but the Azure Data Platform Engineer focuses specifically on Azure services and certifications.

What job categories do people searching Azure Data Platform Engineer jobs in Tennessee look for?

The top searched job categories for Azure Data Platform Engineer jobs in Tennessee are:

What cities in Tennessee are hiring for Azure Data Platform Engineer jobs?

Cities in Tennessee with the most Azure Data Platform Engineer job openings:

Infographic showing various Azure Data Platform Engineer job openings in Tennessee as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Data Database Administrator Engineer

Gateway Group Personnel

Oakland, TN โ€ข Hybrid

Full-time

Re-posted 4 days ago


Job description

Data Database Administrator Engineer

Greater Memphis Area | Hybrid Opportunity
A growing industry leader is seeking a Data Infrastructure Engineer (DBA) to support and modernize a complex data environment spanning both on-premises and Microsoft Azure platforms. This role will play a key part in database administration, cloud migration initiatives, performance optimization, security, and high-availability architecture supporting critical business operations across a large manufacturing enterprise.

This is an excellent opportunity for a database professional who enjoys working across infrastructure, cloud technologies, and enterprise data platforms while helping drive long-term modernization efforts.
What You'll Do
  • Administer and support SQL Server environments across on-premises and Azure platforms
  • Lead and support cloud migration initiatives and hybrid database architectures
  • Manage database backups, restores, upgrades, patching, and ongoing maintenance
  • Monitor and optimize database performance, availability, and scalability
  • Design, implement, and support high availability and disaster recovery solutions
  • Perform capacity planning, storage management, and infrastructure optimization
  • Troubleshoot production issues and ensure operational stability
  • Maintain database security, compliance, and governance standards
  • Develop automation solutions using PowerShell and T-SQL
  • Partner closely with software developers, BI teams, data engineers, and infrastructure teams to deliver scalable solutions
What We're Looking For
  • 5+ years of SQL Server Database Administration experience
  • Strong experience supporting SQL Server 2016+ environments
  • Hands-on experience with Azure SQL technologies
  • Advanced T-SQL development and performance tuning skills
  • Experience implementing and supporting HA/DR solutions
  • Strong troubleshooting, analytical, and problem-solving abilities
  • Excellent communication and collaboration skills
Preferred Experience
  • .NET and C# development exposure
  • Azure DevOps and CI/CD pipelines
  • SSIS, SSRS, SSAS, and Power BI
  • Azure Data Factory or other ETL platforms
  • Data warehousing and business intelligence environments
  • Manufacturing, distribution, or large-scale enterprise environments