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Azure Data Platform Engineer Jobs in Dallas, TX (NOW HIRING)

AIT Global, Inc.

Senior Azure Data Engineer

Irving, TX · On-site

$101K - $138K/yr

We are looking for an experienced Senior Azure Data Engineer to design, develop, and maintain scalable data solutions using the Microsoft Azure data platform. The ideal candidate should have strong ...

Embtel Inc

Azure Data Bricks Consultant

Fort Worth, TX · On-site

$52.75 - $65.50/hr

... DevOps, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Power BI * Combination of Development, Administration & Support experience in several of the following tools/platforms required:

talentmovers inc

Azure Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

The Azure Data Engineer (Senior) is a highly experienced role responsible for leading the design, development, and maintenance of large-scale, complex data processing systems on the Azure platform.

Cedent

Azure Databricks Engineer (Dallas, TX)

Dallas, TX · On-site

$54.50 - $67.50/hr

Data Engineering & Integration : * Design and implement ETL/ELT processes to ingest, process, and ... Manage data integration workflows between Databricks and other platforms like Power BI, Azure SQL ...

CEDENT

Azure Databricks Engineer (Dallas, TX)

Dallas, TX · On-site

$54.50 - $67.50/hr

... Data Engineering & Integration: Design and implement ETL/ELT processes to ingest, process, and ... Manage data integration workflows between Databricks and other platforms like Power BI, Azure SQL ...

Prophecy Technologies

Azure Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

The engineer will implement and manage real-time and batch data ingestion solutions using Qlik ... efficient data movement across platforms. Key responsibilities include developing data ...

Exatech Inc

Azure Data Solutions Architect

Dallas, TX · On-site

$62.75 - $81.75/hr

Azure Data Solutions Architect Remote Xebia is in need of a leading technical contributor who can ... Provides input into the roadmaps, e.g. to, Data Platforms and other Data Engineering Teams, to help ...

Prodapt

Azure Data Engineer

Richardson, TX · On-site

$104K - $124K/yr

We are seeking a highly skilled Azure Data Engineer with deep expertise in Microsoft Fabric to design, implement, and optimize our next-generation data analytics platform. In this role, you will lead ...

Dlapiper

Data Engineer

Dallas, TX

$113K - $136K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Data Platform & Storage * Design and implement data pipelines using Azure data technologies (e.g ...

CEDENT

Azure Databricks Engineer

Dallas, TX · On-site

$59.25 - $77.25/hr

Data Engineering & Integration : * Design and implement ETL/ELT processes to ingest, process, and ... Manage data integration workflows between Databricks and other platforms like Power BI, Azure SQL ...

Tror AI for everyone

Azure Data Engineer

Fort Worth, TX · On-site

$109K - $131K/yr

Azure Data Engineer Job Location: Fort Worth, TX (100% Onsite) Job Duration: Long Term Note: Final Round will be in person. Note: Need 12+ years of experience resumes. Key Responsibilities: * Design ...

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All JobsAzure Data Platform Engineer JobsAzure Data Platform Engineer Jobs in Dallas, TX

Azure Data Platform Engineer information

See Dallas, TX salary details

$44K

$128.3K

$175.6K

How much do azure data platform engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for azure data platform engineer in Dallas, TX is $128,320.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,300.00 and $136,000.00 per year, depending on experience, location, and employer.

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 are popular job titles related to Azure Data Platform Engineer jobs in Dallas, TX?

For Azure Data Platform Engineer jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Azure Data Platform Engineer jobs in Dallas, TX look for?

The top searched job categories for Azure Data Platform Engineer jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Azure Data Platform Engineer jobs?

Cities near Dallas, TX with the most Azure Data Platform Engineer job openings:

Azure Data Platform Engineer jobs near you
Infographic showing various Azure Data Platform Engineer job openings in Dallas, TX as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $128,320 per year, or $61.7 per hour.

Senior Data Platform Engineer

NewVision Software & Consultancy Pvt. Ltd

Dallas, TX • On-site

$105K - $143K/yr

Other

Posted 15 days ago

Job description

Location: Dallas, TX (First 2 months hybrid)
Duration: 6 Months with possibility of Long Term Extension
We are looking for a Senior Data Platform Engineer with deep expertise in designing, optimizing, and managing enterprise-grade data ecosystems. This role requires mastery of database architecture, performance tuning, and transaction management, combined with hands-on experience in cloud-native platforms, big data frameworks, and advanced analytics pipelines. The ideal candidate will be comfortable working across distributed systems, modern data engineering tools, and collaborating with architects, DevOps, and business teams to deliver scalable, secure, and high-performing solutions.
KEY RESPONSIBILITIES
Database & System Architecture
  • Design and implement robust, scalable, and secure database architectures for transactional and analytical workloads.
  • Define partitioning strategies, indexing, and normalization for optimal performance and maintainability.
Performance Tuning & Optimization
  • Conduct advanced query optimization and execution plan analysis.
  • Implement proactive monitoring and troubleshooting for high-volume, mission-critical systems.
Cloud & Distributed Systems
Azure Service Fabric:
  • Deploy and manage microservices-based applications on Azure Service Fabric clusters.
  • Ensure high availability, fault tolerance, and scalability of distributed services.
  • Optimize communication patterns and stateful/stateless service design for data-intensive workloads.
Modern Data Engineering & Analytics
Azure Data Factory (ADF):
  • Design and orchestrate complex ETL/ELT pipelines for batch and streaming data.
  • Integrate diverse data sources into centralized data platforms.
Azure Databricks & Spark:
  • Build and optimize big data processing workflows using Apache Spark on Databricks.
  • Implement Delta Lake for ACID transactions on large-scale data lakes.
  • Develop scalable solutions for machine learning and advanced analytics.
Delta Tables:
  • Manage versioned data storage for reliability and reproducibility.
  • Optimize schema evolution and data compaction strategies.
Power BI (PBI):
  • Collaborate with BI teams to design semantic models and optimize data for reporting.
  • Ensure data pipelines deliver clean, consistent, and performant datasets for visualization.
Collaboration & Leadership
  • Work closely with architects, DevOps, and business stakeholders to align technical solutions with strategic objectives.
  • Provide mentorship and technical guidance to junior engineers and developers.
REQUIRED SKILLS & QUALIFICATIONS
Database Mastery
  • Advanced SQL, query optimization, partitioning, and transaction handling.
Performance Tuning
  • Proven ability to diagnose and resolve complex performance bottlenecks.
Azure Expertise
  • Hands-on experience with Azure Service Fabric, Azure Data Factory, Azure Databricks, and Azure Storage.
Big Data & Analytics
  • Strong knowledge of Spark, Delta Lake, and distributed data processing.
Data Visualization
  • Familiarity with Power BI and data modeling best practices.
Troubleshooting & Optimization
  • Ability to resolve issues across multi-tiered systems under pressure.
Cross-Functional Collaboration
  • Excellent communication and stakeholder management skills.
PREFERRED QUALIFICATIONS
  • Experience with CI/CD pipelines for data solutions.
  • Familiarity with data governance, security, and compliance frameworks.
  • Exposure to machine learning workflows and real-time streaming architectures.

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