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Azure Purview Jobs in Kansas (NOW HIRING)

Atlas HXM

$98K - $134K/yr

Microsoft Azure, AWS, Google Cloud Platform (GCP) * Identity & Access: Microsoft Entra ID * Data Protection: Microsoft Purview, Microsoft Defender for Cloud Apps, Microsoft Intune * AI Platforms:

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Manager, Data Engineering

Kansas City, KS · On-site

Expertise with Microsoft Azure infrastructure and data resources, including Fabric, Azure Data ... Knowledge and familiarity with Microsoft Purview * DevOps for data, GitHub, automated testing, and ...

Kforce Technology Staffing

Data Architect

Lenexa, KS · On-site

$59.75 - $77/hr

... or Azure Solutions Architect Expert * Experience with Dynamics 365 F&O data structures and integration patterns, and with Microsoft Purview * Experience supporting FP&A or financial reporting ...

ScriptPro LLC

Cloud and Platform Engineer

Mission, KS · On-site

$52 - $69.50/hr

Experience with Microsoft Azure, including virtual machines, networking, storage, monitoring, Entra, Purview, and Defender * Experience with SQL Server troubleshooting and basic database ...

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Azure Purview information

See Kansas salary details

$54.4K

$91.9K

$115K

How much do azure purview jobs pay per year?

As of Aug 29, 2026, the average yearly pay for azure purview in Kansas is $91,860.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,700.00 and $109,300.00 per year, depending on experience, location, and employer.

What is Azure Purview?

Azure Purview is a unified data governance service from Microsoft that helps organizations manage and govern their on-premises, multi-cloud, and software-as-a-service (SaaS) data. It enables users to discover, classify, and map data across various sources, ensuring compliance and providing end-to-end data lineage. Azure Purview includes features such as automated data discovery, sensitive data classification, and data cataloging, making it easier for organizations to maximize the value of their data while maintaining security and regulatory standards.

What are the typical responsibilities of an Azure Purview specialist?

Professionals in Azure Purview roles are typically responsible for cataloging, classifying, and managing an organization’s data assets using Microsoft’s data governance platform. Their daily tasks often include configuring and maintaining metadata catalogs, setting up data classification policies, and collaborating with data stewards and engineers to ensure data quality and compliance. They play a crucial role in enabling data discoverability, supporting regulatory requirements, and helping teams make informed decisions based on trusted data. Collaboration with IT, data security, and business units is common to align data governance strategies with organizational goals.

What skills and qualifications are needed to thrive as an Azure Purview specialist?

To thrive as an Azure Purview Data Governance Specialist, you need expertise in data management, metadata cataloging, and a strong understanding of cloud platforms, typically supported by a degree in computer science or a related field. Familiarity with Azure Purview, Azure Data Factory, Power BI, and relevant certifications such as Microsoft Certified: Azure Data Engineer Associate are highly valuable. Excellent problem-solving, analytical thinking, and communication skills help you collaborate with stakeholders and translate governance requirements into actionable solutions. These skills are crucial for ensuring data quality, security, and compliance across enterprise data assets.

What is the difference between Azure Purview vs Data Analyst?

AspectAzure PurviewData Analyst
Primary RoleData governance, data cataloging, data discoveryData interpretation, reporting, analysis
Required SkillsData management, cloud platforms, metadata managementStatistical analysis, SQL, data visualization
Work EnvironmentCloud environments, data platformsBusiness intelligence tools, databases
CertificationsAzure certifications, data management certificationsData analysis certifications, SQL certifications

Azure Purview focuses on data governance and cataloging within cloud environments, ensuring data compliance and discoverability. Data Analysts interpret and analyze data to generate insights for business decisions. While Azure Purview involves technical data management skills, Data Analysts focus on data interpretation and reporting. Both roles are essential in data-driven organizations but serve different functions within the data ecosystem.

What job categories do people searching Azure Purview jobs in Kansas look for?

The top searched job categories for Azure Purview jobs in Kansas are:

What cities in Kansas are hiring for Azure Purview jobs?

Cities in Kansas with the most Azure Purview job openings:

Azure Purview jobs near you
Infographic showing various Azure Purview job openings in Kansas as of August 2026, with employment types broken down into 100% Full Time. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $91,860 per year, or $44.2 per hour.

Senior Security Engineer, AI & DevSecOps

Atlas HXM
See more jobs at Atlas HXMexternal

$98K - $134K/yr

Full-time

Re-posted 13 days ago

Job description

Role Overview

We are seeking a forward-thinking Senior Security Engineer, AI & DevSecOps to help shape the future of secure AI adoption across the organization.

As part of the Information Security team, you will build and secure the platforms, processes, and governance that enable developers and business teams to safely leverage artificial intelligence. You'll work at the intersection of AI, application security, cloud security, and DevSecOps.

This role is ideal for someone who thrives on emerging technologies, understands how modern platforms connect through APIs and automation, and can translate security requirements into scalable, developer-friendly solutions.

Key Responsibilities
  • Design and implement secure architectures for enterprise AI platforms, AI assistants, AI APIs, and AI-enabled applications.
  • Build and maintain a secure AI sandbox environment supporting experimentation and responsible AI adoption.
  • Develop security guardrails for AI-assisted development, including AI-generated code, vibe coding, AI agents, and AI workflows.
  • Evaluate new AI technologies and recommend secure adoption strategies based on business needs and risk.
  • Integrate security throughout the Secure Software Development Lifecycle (SSDLC) using automated controls and developer-friendly workflows.
  • Integrate SAST, DAST, SCA, secret scanning, IaC scanning, and cloud security scanning into CI/CD pipelines.
  • Secure cloud-native applications, APIs, containers, and AI services across Azure, AWS, and GCP.
  • Review AI applications, integrations, and AI-generated solutions prior to production deployment.
  • Perform AI security assessments, threat modeling, and architecture reviews.
  • Support vulnerability management, incident response, and threat detection involving AI platforms and cloud services.
  • Support change management, configuration management, documentation, and audit evidence.
  • Support ISO/IEC 27001, 27017, 27018, and future AI governance initiatives.
  • Partner with engineering teams to enable secure development while minimizing friction.
  • Continuously research emerging AI technologies, threats, and best practices.
Required Qualifications
  • 7-12+ years of experience in cybersecurity, application security, DevSecOps, cloud security, platform engineering, or related disciplines.
  • Demonstrated experience securing enterprise AI platforms, AI APIs, AI-assisted development tools, or LLM ecosystems.
  • Deep understanding of modern AI security concepts, including prompt injection, data leakage, AI supply chain risks, and responsible AI practices.
  • Strong understanding of how cloud platforms, APIs, identity, data, and AI services integrate to deliver secure enterprise solutions.
  • Experience integrating security into modern software delivery pipelines using automated testing and policy enforcement.
  • Hands-on experience with application security, cloud security, vulnerability management, and developer security platforms.
  • Experience implementing IAM, Zero Trust principles, logging, monitoring, and security automation.
  • Experience supporting governance frameworks including ISO/IEC 27001, 27017, 27018, NIST CSF, or SOC 2.
  • Strong automation and scripting skills using Python, PowerShell, Bash, or REST APIs.
  • Excellent communication skills, with the ability to translate security requirements into practical engineering solutions.
Preferred Qualifications
  • Experience securing AI agents, MCP integrations, RAG solutions, vector databases, or AI orchestration platforms.
  • Experience implementing AI governance programs and enterprise AI security standards.
  • Experience performing threat modeling, application security assessments, and architecture reviews.
  • Experience supporting internal and external compliance audits.
  • Professional certifications such as CISSP, CCSP, CISM, Azure Security Engineer Associate, or AWS Certified Security - Specialty.
Tools & Technologies

Experience with one or more of the following is preferred:

  • Source Control & CI/CD: GitHub Enterprise, GitHub Actions, Azure DevOps, GitLab, Jenkins
  • Application Security: GitHub Advanced Security, SonarQube, SonarCloud, Snyk, Checkov, DefectDojo
  • Cloud Security: Wiz, Microsoft Defender for Cloud, Microsoft Defender XDR, Microsoft Sentinel, SentinelOne
  • Cloud Platforms: Microsoft Azure, AWS, Google Cloud Platform (GCP)
  • Identity & Access: Microsoft Entra ID
  • Data Protection: Microsoft Purview, Microsoft Defender for Cloud Apps, Microsoft Intune
  • AI Platforms: ChatGPT Enterprise, Microsoft Copilot, Google Gemini, Claude, Azure AI Foundry, AI agents, MCP integrations
  • Automation: Python, PowerShell, Bash, REST APIs

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