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Senior Microsoft Azure Data Engineer Jobs in Arizona

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 data lakes and/or data warehouses (Azure Data Lake, Microsoft Fabric, etc.

Pwc

Data Engineer - Senior Associate

Phoenix, AZ · On-site

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake ...

Pwc

Data Engineer - Manager

Phoenix, AZ · On-site

... Microsoft Azure Solutions Architect, Azure Data Engineer Associate, or Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

Pwc

Data Engineer - Senior Manager

Phoenix, AZ · On-site

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager ... Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake ...

Conch Technologies Inc

Data Analyst

Tempe, AZ · On-site

... Engineering, or Data Migration * Strong SQL skills with Azure SQL Database, Azure SQL Managed ... Microsoft SQL Server * Azure Cosmos DB or other NoSQL databases * Kusto Query Language (KQL)

Troon

Data Engineer

Scottsdale, AZ

$114K - $137K/yr

The Data Engineer designs, builds, and maintains scalable data integration pipelines and architectures within the Azure ecosystem, enabling the ingestion, transformation, and promotion of data across ...

Troon Golf

Data Engineer

Scottsdale, AZ · On-site

$114K - $137K/yr

The Data Engineer designs, builds, and maintains scalable data integration pipelines and architectures within the Azure ecosystem, enabling the ingestion, transformation, and promotion of data across ...

Kimley-Horn

Data Engineer

Phoenix, AZ · On-site

$104K - $125K/yr

Strong experience with SQL, Microsoft SQL Server and T-SQL development. * Experience developing ETL/ELT pipelines using Azure Data Factory or similar integration tools. * Experience programming with ...

Kimley-Horn

Data Engineer

Phoenix, AZ

$104K - $125K/yr

Strong experience with SQL, Microsoft SQL Server and T-SQL development. * Experience developing ETL/ELT pipelines using Azure Data Factory or similar integration tools. * Experience programming with ...

Kimley-Horn

Data Engineer

Phoenix, AZ

$113K - $136K/yr

Strong experience with SQL, Microsoft SQL Server and T-SQL development. * Experience developing ETL/ELT pipelines using Azure Data Factory or similar integration tools. * Experience programming with ...

Stellar IT Group

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Data Engineer Location: Phoenix, AZ(Hybrid) Job Type: FTE Key Responsibilities Data Platform ... Design, develop, and maintain cloud-native data pipelines using Databricks, Microsoft Azure Data ...

Kimley-Horn

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Strong experience with SQL, Microsoft SQL Server and T-SQL development. * Experience developing ETL/ELT pipelines using Azure Data Factory or similar integration tools. * Experience programming with ...

Troon

Data Engineer

Scottsdale, AZ · On-site

$115K - $138K/yr

They are seeking a highly motivated Data Engineer to design, build, and maintain scalable data integration pipelines within the Azure ecosystem, ensuring high-quality data flows that support ...

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Senior Microsoft Azure Data Engineer information

What does a Senior Microsoft Azure Data Engineer do?

A Senior Microsoft Azure Data Engineer is responsible for designing, building, and maintaining data solutions using Microsoft Azure cloud services. They manage data pipelines, ensure data quality, and optimize storage and processing for large-scale data environments. These professionals also collaborate with other teams to implement best practices in data security, compliance, and performance, leveraging tools like Azure Data Factory, Azure Databricks, and Azure Synapse Analytics. Their expertise helps organizations make data-driven decisions and improve business outcomes.

What are the most common challenges faced by Senior Microsoft Azure Data Engineers when designing cloud-based data solutions?

Senior Microsoft Azure Data Engineers often encounter challenges such as optimizing data pipeline performance, ensuring data security and compliance, and managing costs within cloud environments. Balancing scalability with efficiency, especially when dealing with large volumes of real-time data, requires a deep understanding of Azure services and best practices. Additionally, collaborating with data architects, analysts, and DevOps teams to integrate and maintain robust data solutions is a key aspect of the role. Staying updated with Azure’s rapidly evolving ecosystem is essential for long-term success.

What are the key skills and qualifications needed to thrive as a Senior Microsoft Azure Data Engineer, and why are they important?

To thrive as a Senior Microsoft Azure Data Engineer, you need expertise in data modeling, ETL processes, cloud architecture, and proficiency with Azure services, supported by a degree in computer science or a related field. Familiarity with tools like Azure Data Factory, Synapse Analytics, Power BI, and relevant certifications such as Microsoft Certified: Azure Data Engineer Associate are typically required. Strong problem-solving, communication, and project management skills distinguish top professionals in this role. These capabilities are essential for designing robust data solutions, ensuring data integrity, and effectively collaborating with stakeholders in complex cloud environments.

What is the difference between Senior Microsoft Azure Data Engineer vs Data Engineer?

AspectSenior Microsoft Azure Data EngineerData Engineer
CertificationsAzure Data Engineer Associate, Azure certificationsGenerally no specific cloud certifications required
Work EnvironmentPrimarily cloud-based, Azure platformOn-premises, cloud, or hybrid environments
ResponsibilitiesDesigning, building, and maintaining data solutions on AzureDeveloping data pipelines, databases, and ETL processes
Industry UsageUsed in organizations leveraging Azure cloud servicesUsed across various industries and cloud providers

The main difference is that a Senior Microsoft Azure Data Engineer specializes in designing and managing data solutions specifically on the Azure platform, often requiring Azure certifications. In contrast, a Data Engineer may work with various cloud providers or on-premises systems without a focus on Azure, handling broader data pipeline and database tasks across different environments.

What are the most commonly searched types of Microsoft Azure Data Engineer jobs in Arizona?

The most popular types of Microsoft Azure Data Engineer jobs in Arizona are:

What are popular job titles related to Senior Microsoft Azure Data Engineer jobs in Arizona?

For Senior Microsoft Azure Data Engineer jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Senior Microsoft Azure Data Engineer jobs in Arizona look for?

The top searched job categories for Senior Microsoft Azure Data Engineer jobs in Arizona are:

What cities in Arizona are hiring for Senior Microsoft Azure Data Engineer jobs?

Cities in Arizona with the most Senior Microsoft Azure Data Engineer job openings:

Senior Microsoft Azure Data Engineer jobs near you

Senior Microsoft Fabric Data Modeler / Semantic Model Architect

Purple Hires

Phoenix, AZ • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Role: Senior Microsoft Fabric Data Modeler / Semantic Model Architect

Location : Phoenix, AZ – Local Profile Only

Long Term Contract

Client Interview:  In-person Only

Role Summary
Seeking an experienced Microsoft Fabric Data Modeler to transform an on-premises MySQL Vessel ERP data model into a scalable Microsoft Fabric analytics platform. The role will own dimensional modeling, Gold-layer design, semantic model development, and collaboration with Power BI developers to enable enterprise self-service reporting.

Key Responsibilities

  • Analyze complex MySQL ERP schemas and business processes.
  • Design enterprise-grade Star Schema data (models Facts, Dimensions, Bridge Tables, SCDs).
  • Develop and optimize Bronze, Silver, and Gold layer data models in Microsoft Fabric.
  • Build and maintain Fabric Semantic Models for reusable enterprise reporting.
  • Define KPIs, measures, hierarchies, relationships, and Row-Level Security (RLS).
  • Partner with Data Engineers to design analytics-ready data structures.
  • Collaborate closely with Power BI developers to deliver performant dashboards and self-service reporting solutions.
  • Work with business stakeholders to translate reporting requirements into scalable data models.
  • Ensure data quality, reconciliation, governance, and documentation standards.
  • Optimize Direct Lake, semantic model performance, and reporting scalability.

Required Skills

  • 7-10+ years of experience in Data Warehousing, Data Modeling, and BI solutions.
  • Strong expertise in Star Schema, Dimensional Modeling, and Data Warehouse design.
  • Hands-on experience with Microsoft Fabric, OneLake, Lakehouse, Warehouse, and Semantic Models.
  • Advanced SQL skills and experience working with MySQL or other enterprise ERP databases.
  • Strong knowledge of Power BI Semantic Modeling, DAX, and self-service analytics.
  • Experience with Azure Data Services including Azure Data Factory, Azure Data Lake Storage, and cloud-based analytics architectures.
  • Excellent communication skills with the ability to work across business and technical teams.

Preferred Qualifications

  • Microsoft Fabric certifications (DP-600, DP-700).

Apply