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Azure Data Platform Engineer Jobs in Arizona (NOW HIRING)

kestra

Senior Data Platform Engineer

Tempe, AZ

$109K - $131K/yr

We are seeking a seasoned Databricks Data Engineer with expertise in Azure cloud services and the Databricks Lakehouse platform. The role involves designing and optimizing large-scale data pipelines ...

kestra

Senior Data Platform Engineer

Tempe, AZ

$109K - $131K/yr

We are seeking a seasoned Databricks Data Engineer with expertise in Azure cloud services and the Databricks Lakehouse platform. The role involves designing and optimizing large-scale data pipelines ...

Dlapiper

Data Engineer

Phoenix, AZ

$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 ...

Phoenix Staff

Mid-Senior Data Engineer

Phoenix, AZ · Hybrid

$100K - $115K/yr

Job Title: Data Engineer (Mid-Level to Senior) Location: Hybrid / Onsite as needed (project ... Experience with Cosmos DB or other NoSQL platforms. * Knowledge of KQL and Azure Monitor / Data ...

Kestra Holdings

Senior Data Platform Engineer

Tempe, AZ · On-site

$109K - $131K/yr

... Engineer with expertise in Azure cloud services and the Databricks Lakehouse platform. The role ... Modernize the Azure-based data ecosystem, contributing to cloud architecture, distributed data ...

Troon Golf

Senior Data Platform Architect

Scottsdale, AZ · On-site

$67.25 - $89.75/hr

... platform engineering * 3+ years designing and implementing cloud-based data platforms (Azure preferred) * Proven experience defining and governing enterprise data architecture Preferred ...

Troon

Senior Data Platform Architect

Scottsdale, AZ

$67.25 - $89.75/hr

... platform engineering * 3+ years designing and implementing cloud-based data platforms (Azure preferred) * Proven experience defining and governing enterprise data architecture Preferred ...

Troon Golf

AI Platform Architect

Scottsdale, AZ · On-site

The AI Platform Architect designs and implements the architecture that connects Troon's data ... engineering teams Preferred Knowledge and Skills: * Familiarity with Azure data services (Data ...

Troon

AI Platform Architect

Scottsdale, AZ

The AI Platform Architect designs and implements the architecture that connects Troon's data ... engineering teams Preferred Knowledge and Skills: * Familiarity with Azure data services (Data ...

Talent Groups

Data Architect

Tempe, AZ · On-site

$62 - $79.75/hr

Collaborate with Data Engineering and Platform Engineering teams to implement scalable cloud ... Databricks * Microsoft Azure * Four layer medallion architecture * Enterprise data products ...

Troon

Data Engineer

Scottsdale, AZ

$114K - $137K/yr

The Data Engineer designs, builds, and maintains scalable data integration pipelines and ... Experience working within cloud-based data platforms (Azure preferred) Preferred Qualifications

Kestra Holdings

Platform Engineer

Tempe, AZ · On-site

Design and deploy secure, scalable Azure-based applications, data workloads, and integration ... Build and maintain core platform components that enhance developer productivity and support mission ...

Troon Golf

Data Engineer

Scottsdale, AZ · On-site

$114K - $137K/yr

The Data Engineer designs, builds, and maintains scalable data integration pipelines and ... Experience working within cloud-based data platforms (Azure preferred) Preferred Qualifications

Smart Synergies

Data Engineering Lead

Glendale, AZ · On-site

Platform Optimization and Monitoring: Oversee the deployment and management of Azure Data Lake and ... Azure certifications, such as Azure Data Engineer Associate or Azure Solutions Architect Expert.

Conch Technologies Inc

Data Analyst

Tempe, AZ · On-site

Azure Data Platform experience Required Skills * 4+ years of experience in Data Analysis, Data Engineering, or Data Migration * Strong SQL skills with Azure SQL Database, Azure SQL Managed Instance ...

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Azure Data Platform Engineer information

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 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 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, and why are they important?

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 popular job titles related to Azure Data Platform Engineer jobs in Arizona? For Azure Data Platform Engineer jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Azure Data Platform Engineer jobs in Arizona look for? The top searched job categories for Azure Data Platform Engineer jobs in Arizona are:
What cities in Arizona are hiring for Azure Data Platform Engineer jobs? Cities in Arizona with the most Azure Data Platform Engineer job openings:
Azure Data Platform Engineer jobs near you

Senior Data Platform Engineer

kestra

Tempe, AZ

$109K - $131K/yr

Other

Re-posted 4 days ago

Job description

Lead with Purpose. Partner with Impact. 

We are seeking a seasoned Databricks Data Engineer with expertise in Azure cloud services and the Databricks Lakehouse platform. The role involves designing and optimizing large-scale data pipelines, modernizing cloud-based data ecosystems, and enabling secure, governed data solutions. Strong skills in SQL, Python, PySpark, ETL/ELT frameworks, and experience with Delta Lake, Unity Catalog, and CI/CD automation are essential.

What you’ll Do:

  • Design, build, and optimize large-scale data pipelines on the Databricks Lakehouse platform, ensuring reliability, scalability, and governance.
  • Modernize the Azure-based data ecosystem, contributing to cloud architecture, distributed data engineering, data modeling, security, and CI/CD automation.
  • Utilize Apache Airflow and similar tools for orchestration and workflow automation.
  • Work with financial or regulated datasets, applying strong compliance and governance practices.
  • Develop and optimize ETL/ELT pipelines using Python, PySpark, Spark SQL, and Databricks notebooks.
  • Design and optimize Delta Lake data models for reliability, performance, and scalability.
  • Implement and manage Unity Catalog for RBAC, lineage, governance, and secure data sharing.
  • Build reusable frameworks using Databricks Workflows, Repos, and Delta Live Tables.
  • Create scalable ingestion pipelines for APIs, databases, files, streaming sources, and MDM systems.
  • Automate API ingestion and workflows using Python and REST APIs.
  • Support data governance, lineage, cataloging, and metadata initiatives.
  • Enable downstream consumption for BI, data science, and application workloads.
  • Write optimized SQL/T-SQL queries, stored procedures, and curated datasets for reporting.
  • Automate deployments, DevOps workflows, testing pipelines, and workspace configuration.

 

What You Bring: 

  • 8+ years of experience designing and developing scalable data pipelines in modern data warehousing environments, with full ownership of end-to-end delivery.
  • Expertise in data engineering and data warehousing, consistently delivering enterprise-grade solutions.
  • Proven ability to lead and coordinate data initiatives across cross-functional and matrixed organizations.
  • Advanced proficiency in SQL, Python, and ETL/ELT frameworks, including performance tuning and optimization.
  • Hands-on experience with Azure, Snowflake, and Databricks, and integration with enterprise systems.

Apply