Okay, I've searched for Azure Data Platform Engineer roles in Plano, TX that require Python and Terraform skills, at least 6 years of experience, and full-time positions. I have found 42 relevant positions for you.

Sure. Here's the analysis:

Job Analysis:

The Azure Data Platform Engineer role primarily centers on architecting, deploying, and automating data infrastructure within the Azure ecosystem, with a strong emphasis on leveraging scripting and infrastructure-as-code (IaC) tools like Python, Terraform, and Ansible. The candidate must excel not only in technical proficiency but also in translating complex designs into scalable, maintainable solutions for enterprise environments, often in banking and finance domains where security and compliance are paramount. Given the stress on Azure Data Services such as Azure Data Factory, Databricks, and Open AI integration, this role demands deep familiarity with data pipelines, cloud-native analytics, and AI-driven services. The responsibilities imply a hybrid skill set involving cloud engineering, DevOps principles (infrastructure as code, policy as code), and collaboration with diverse teams, often across global locations. Success will come from efficiently delivering robust, high-availability cloud data platforms that support analytics workloads while navigating complex architectures, security frameworks, and dynamic project demands. The role expects strong analytical thinking, problem solving under pressure, and effective communication for smooth cross-functional coordination.

Company Analysis:

Infosys operates as a global powerhouse in digital transformation consulting and technology services, serving enterprises worldwide with an AI-fueled, agile approach to innovation. This positioning makes the role of an Azure Data Platform Engineer strategically critical—they are enabling Infosys’ promise to build scalable, cutting-edge cloud infrastructures that drive client performance and business agility. Infosys’ culture likely emphasizes continuous learning, adaptability, and collaboration in a highly matrixed environment, reflecting its global presence and focus on digital and AI-powered solutions. The candidate will probably work within cross-border teams supporting large, complex client engagements, meaning high visibility but also the need for cultural sensitivity and teamwork. The firm's dedication to innovation and enterprise-scale solutions means the role is less about routine maintenance and more about forward-thinking, problem-solving, and enabling next-generation platforms aligned with cloud best practices and Infosys’ well-architected framework principles.

Absolutely. Here are some mock interview questions that could come up:

• Behavioral: Tell me about a time when you had to automate a complex cloud infrastructure deployment. What challenges did you face and how did you overcome them?
• Behavioral: Describe an occasion where you collaborated with a global, cross-functional team to deliver a data platform solution. How did you ensure effective communication and alignment?
• Behavioral: Share an example of a high-pressure situation where you had to troubleshoot a critical failure in a cloud data environment. What steps did you take?
• Behavioral: How have you balanced competing priorities and deadlines in previous roles, especially when working on multiple concurrent cloud projects?
• Technical: Walk me through your approach to designing and implementing an Azure Data Factory pipeline for a financial services use case.
• Technical: How do you use Terraform to manage infrastructure for Azure Data Services? Can you describe your experience writing modules and managing state?
• Technical: What are the key considerations when integrating Azure Databricks into an enterprise data platform, particularly with regard to security and scalability?
• Technical: Explain your experience with Python scripting for automating cloud resource provisioning and data workflows in Azure.
• Situational: Imagine you discover a resource drift in your Terraform-managed Azure environment just before a major client demo. How would you handle this?
• Situational: You receive conflicting requirements from two stakeholders regarding a data platform feature. How do you approach resolving this conflict?
• Situational: A critical security vulnerability is identified in an Azure service you’ve deployed. What is your immediate course of action and long-term mitigation strategy?
• Company Fit: What attracted you to Infosys and how do you see your career evolving here given our focus on digital transformation and AI-powered enterprise solutions?
• Company Fit: Infosys emphasizes a culture of continuous learning and innovation. How do you stay updated with evolving cloud technologies and apply that knowledge effectively?
• Company Fit: How do your personal and professional values align with Infosys’ commitment to client success and ethical technology deployment?
• Questions for Interviewer: Can you describe the typical team structure and the primary collaborations this role engages in within Infosys’ delivery model?
• Questions for Interviewer: How does Infosys support continuous professional development and skill advancement for engineers working on cloud platforms?
• Questions for Interviewer: What are the immediate priorities for this role in the first 6 months, and how does Infosys measure success for Azure Data Platform engineers?