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Splunk Microsoft Azure Microsoft Jobs (NOW HIRING)

Unisys

Microsoft Azure Solutions Leader

$65 - $84.75/hr

The Azure Solution Leader is a senior, client-facing architecture and strategy role responsible for driving the growth, innovation, and market positioning of Azure-based solutions across a global ...

Unisys

Microsoft Azure Solutions Leader

Blue Bell, PA · Remote

$60.75 - $79/hr

The Azure Solution Leader is a senior, client-facing architecture and strategy role responsible for driving the growth, innovation, and market positioning of Azure-based solutions across a global ...

HyerTek

Cloud Engineer (Microsoft Azure)

Rockville, MD · On-site

$56.75 - $76/hr

... Microsoft Dynamics, Power Platform, Power BI, and secure federal IT delivery, we help agencies modernize mission-critical systems and improve operational performance. HyerTek is hiring an Azure Cloud ...

Unisys

Microsoft Azure Solutions Leader

OR · Remote

$63.50 - $82.75/hr

The Azure Solution Leader is a senior, client-facing architecture and strategy role responsible for driving the growth, innovation, and market positioning of Azure-based solutions across a global ...

Sonsoft Inc

Microsoft Azure Cloud Architect

Plano, TX · On-site

$60.75 - $79.25/hr

Experience of designing and delivering secure cloud solutions on Azure or AWS with extensive knowledge about various cloud services. * At least 2 years of experience in designing deployment ...

Agama Solutions

Azure Cloud Engineer

Chandler, AZ · On-site

$80 - $95/hr

Ideal resource will provide LEAD development experience on terraform, AZURE/Microsoft google cloud, and Kubernetes. MUST HAVES: · 10+ years of information security applications and systems ...

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How much do splunk microsoft azure microsoft jobs pay per hour?

As of Jun 7, 2026, the average hourly pay for splunk microsoft azure microsoft in the United States is $80.95, according to ZipRecruiter salary data. Most workers in this role earn between $74.76 and $88.46 per hour, depending on experience, location, and employer.

What is the difference between Splunk Microsoft Azure Microsoft vs Cloud Engineer?

AspectSplunk Microsoft Azure MicrosoftCloud Engineer
Required CertificationsSplunk certifications, Azure certificationsAzure, AWS, GCP certifications
Work EnvironmentData analysis, monitoring, security in cloud and on-premisesDesigning, deploying, managing cloud infrastructure
Industry UsageIT, cybersecurity, data analyticsCloud services, software development, IT operations

Splunk Microsoft Azure Microsoft professionals focus on data analysis, security, and monitoring using Splunk tools combined with Azure cloud services. Cloud Engineers design and manage cloud infrastructure across platforms. Both roles often collaborate but differ in core responsibilities and certifications.

How do professionals in a Splunk Microsoft Azure role typically collaborate with cross-functional teams to deliver insights and solutions?

In a Splunk Microsoft Azure role, collaboration with cross-functional teams such as IT security, DevOps, and cloud infrastructure is essential. Professionals regularly work alongside these teams to collect data, design dashboards, and implement monitoring solutions that enhance visibility into cloud environments. Effective communication is key, as the role often involves translating technical findings into actionable insights for stakeholders. This collaborative approach ensures that solutions are aligned with both technical requirements and business goals.

How hard is it to get into Splunk?

Getting into a Splunk-related role, such as a Splunk administrator or developer, typically requires knowledge of data analysis, log management, and familiarity with Splunk's platform. Relevant skills include understanding of scripting, networking, and security, along with certifications like Splunk Certified User or Power User, which can improve job prospects. Entry-level positions may be accessible with foundational technical skills and relevant training, but advanced roles often demand experience and specialized knowledge.

What is a Splunk Microsoft Azure Microsoft professional?

A Splunk Microsoft Azure Microsoft professional is an IT specialist skilled in integrating and managing Splunk, a data analytics and monitoring platform, within the Microsoft Azure cloud environment. They are responsible for deploying Splunk solutions on Azure, ensuring data from various Microsoft services is collected, indexed, and analyzed efficiently. Their role often involves configuring data sources, maintaining security and compliance, and optimizing system performance. This combination of skills helps organizations gain actionable insights from their cloud infrastructure and applications, improving overall operational efficiency.

What are the key skills and qualifications needed to thrive as a Splunk and Microsoft Azure specialist, and why are they important?

To thrive as a Splunk and Microsoft Azure specialist, you need expertise in system administration, cloud architecture, and data analytics, often supported by certifications such as Splunk Certified Power User and Microsoft Azure Administrator. Familiarity with tools like Splunk Enterprise, Azure Monitor, Azure Security Center, and scripting languages (e.g., PowerShell, Python) is typically required. Strong problem-solving abilities, attention to detail, and effective communication help specialists manage complex environments and translate technical findings to stakeholders. These skills are crucial for ensuring secure, reliable, and efficient cloud and data operations in dynamic enterprise settings.
Solution Architect - Microsoft Azure Data & Fabric

Solution Architect - Microsoft Azure Data & Fabric

Numentica LLC

Seattle, WA • On-site, Remote

$72.25 - $94.25/hr

Contractor

Posted 7 days ago

Job description

Job Description
We are seeking a highly skilled Solution Architect specializing in Microsoft Azure Data & Microsoft Fabric, with strong working knowledge of Databricks, to design, build, and optimize modern data platforms. This role requires a blend of architecture, engineering, and analytics expertise to deliver scalable, secure, and high-performance data solutions.
The ideal candidate brings deep experience across Microsoft Fabric, Azure Data Factory (ADF), Azure Synapse Analytics, Power BI, andDatabricks, with a proven track record of enabling enterprise data modernization and driving actionable insights.
Key Responsibilities
  • Design and implement end-to-end data architectures using Microsoft Fabric and Azure ecosystem, with integration to Databricks where applicable
  • Build and optimize scalable data pipelines using ADF, Fabric, and Databricks (Spark-based processing)
  • Define and implement Lakehouse architectures across Fabric and/or Databricks environments
  • Collaborate with stakeholders to translate business requirements into scalable data solutions
  • Ensure data governance, security, and performance optimization across platforms
  • Drive best practices in data modeling, data engineering, and analytics enablement
  • Evaluate and recommend when to use Fabric-native vs Databricks-native capabilities

Required Skills & Experience
  • 5+ years of experience in data engineering and data platform development
  • 1+ year of hands-on experience with Microsoft Fabric
  • 3+ years of experience with Azure Data Factory, Azure Synapse Analytics, and Power BI
  • Strong expertise in building data pipelines using ADF, Fabric, and/or Databricks
  • Hands-on experience with Databricks (Spark, Delta Lake, notebooks, job orchestration)
  • Deep understanding of Lakehouse architecture (Fabric OneLake and/or Databricks Lakehouse)
  • Proficiency in SQL, Python, and Spark for large-scale data processing
  • Strong experience with data modeling, ETL/ELT, and enterprise data architecture
  • Experience with Azure Data Lake Storage, Blob Storage, and Azure DevOps
  • Strong analytical and problem-solving skills
  • Excellent communication skills to engage both technical and business stakeholders

Preferred Qualifications
  • Microsoft certifications (Azure Data Engineer, Fabric Analytics Engineer, Power BI Data Analyst)
  • Experience with Unity Catalog, Delta Lake optimization, and data governance frameworks
  • Exposure to Advanced analytics/AI workloads
  • Experience designing hybrid architectures (Fabric + Databricks coexistence)

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