Okay, I've searched for Senior Data Integration & Cloud Engineer roles in Reston, VA, with a focus on AWS cloud services, experience migrating Informatica PowerCenter to IDMC, and requiring production support experience. I have found 76 positions that match your criteria.

Sure. Here's the analysis:

Job Analysis:

The Senior Data Integration & Cloud Engineer role at JustinBradley demands a highly capable individual adept in cloud migration, specifically in transferring Informatica PowerCenter code to the Informatica Intelligent Data Management Cloud (IDMC) using the Self Service Workbench. The essence of this position lies in driving modernization efforts through robust cloud infrastructure design and implementation within AWS services, ensuring systems are scalable, efficient, and well-supported in a fast-paced environment. Key responsibilities encompass technical leadership in migration processes, building and maintaining data pipelines, and providing 24/7 production support, which suggests that the candidate will face challenges like troubleshooting production issues and optimizing performance. Success in this role means not only excelling in technical skills but also effectively collaborating with cross-functional teams and communicating intricate concepts to ensure seamless operations and project objectives are met. The ideal candidate must also navigate the rapidly evolving data landscape, thus demonstrating creativity, adaptability, and proactive problem-solving to manage and enhance the data integration processes.

Company Analysis:

JustinBradley is positioned as a leader in strategic workforce solutions, emphasizing a commitment to providing exceptional business talent and innovative staffing solutions across various service areas. As a certified WBENC company and a recognized performer among top staffing firms, its reputation speaks to a culture centered around accountability, teamwork, and diversity. This environment is likely fast-paced and innovation-driven, important for a technical role like the Senior Data Integration & Cloud Engineer, where agility in responding to complex problems is crucial. Within the organization, this role likely operates as an integral team member within the technical domain, working closely with other engineering and data specialists while contributing significantly to modernization projects. The strategic alignment of this position indicates that it is not merely a backfill but a key hire aimed at enhancing the company’s technological capabilities in a competitive market. Therefore, understanding the company's focus on collaboration and performance optimization will be essential for a new candidate to thrive and propel their own career within JustinBradley.

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

• Tell me about a time when you had to resolve a complex technical issue under tight deadlines. How did you approach the situation?
• Can you share your experience in automating infrastructure? Specifically, which tools did you utilize and what challenges did you face?
• Describe an instance where you collaborated with cross-functional teams on a technical project. What was your role, and what were the outcomes?
• How do you prioritize tasks when managing multiple projects with competing deadlines?
• What specific challenges did you encounter while migrating to Informatica Intelligent Data Management Cloud, and how did you overcome them?
• Can you walk us through your process of designing a scalable data pipeline using AWS? What factors do you consider in your design?
• How do you ensure data integrity and quality when building data pipelines in a cloud environment?
• Imagine you are faced with a sudden production issue that requires immediate troubleshooting. What steps would you take to quickly identify and resolve the problem?
• Why are you interested in working specifically with JustinBradley in this Senior Data Integration & Cloud Engineer role?
• How do you think your technical skills align with the mission of JustinBradley and its operational goals?
• What trends do you see emerging in data integration and cloud engineering that would impact our industry?
• What questions do you have about our team's style of collaboration and how we approach data projects?
• How would you suggest the team approaches performance optimization for a cloud-based data architecture?