Okay, I've searched for Senior Data & Analytics Engineer roles in Texas that are full-time, require 8+ years of experience, focus on Azure, and have a salary range of $124,000 to$280,000. I have found 54 positions for you.

Sure. Here's the analysis:

Job Analysis:

The Cloud Data & Analytics Engineer - Senior Manager role at PwC is centered around transforming raw data into actionable insights that drive business growth for clients. The position demands not just technical expertise in data engineering but also the ability to lead teams, manage client expectations, and devise innovative data solutions. A successful candidate will be engaging directly with clients, assessing their needs, and ensuring the delivery of high-quality, technology-driven solutions. The emphasis on cross-functional coordination suggests the role involves significant collaboration across various teams. Essential responsibilities include designing data infrastructures, implementing data pipelines, and maintaining data quality. This role is not only about technical delivery but also about building relationships, coaching teams, and navigating complexity within data projects, indicating a strategic leadership component that requires strong judgment and decision-making skills. Candidates must effectively communicate complex, technical ideas to diverse audiences, making both technical and soft skills pivotal for this position.

Company Analysis:

PwC operates in the professional services sector, specifically within assurance, advisory, and tax services, making it a significant player globally with a commitment to trust and problem-solving. The firm prides itself on its profound expertise and innovative approach to leveraging data and analytics. Internally, the culture is likely to emphasize collaboration, inclusivity, and a strong focus on professional development given its emphasis on coaching and effective communication across teams. The position of Cloud Data & Analytics Engineer - Senior Manager sits strategically within the organization, leading technology workstreams and contributing to the firm’s growth by facilitating innovative technology solutions and strategic initiatives. This role is critical in enhancing PwC's market positioning by delivering cutting-edge analytics solutions, thus aligning with the company's goals of driving business growth through data.

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

• Tell me about a time when you had to lead a team through a complex data project. What challenges did you face and how did you overcome them?
• Describe an experience where you had to manage client expectations regarding a technical project. How did you ensure satisfaction?
• Can you share an example of a difficult decision you had to make in a previous role? What was the outcome?
• Discuss a situation where you implemented a data solution that significantly impacted a client's business. What was the approach you took?
• How would you go about designing a data pipeline for a new client's requirements? What factors would you consider?
• Explain your experience with Azure Databricks and how you have used it in past projects.
• What steps would you take to ensure data quality and compliance in a new data integration project?
• Imagine you are tasked with implementing a new data architecture for an important client. What would be your first steps?
• In your opinion, what are the most critical skills a Cloud Data & Analytics Engineer should possess? Why?
• Why are you interested in the Cloud Data & Analytics Engineer position specifically at PwC?
• How do you see the role of data analytics evolving in the coming years, and how does PwC align with these changes?
• Can you describe a time when you had to coach or mentor a team member? What approach did you take?
• What do you find most appealing about PwC's mission and values?
• How do you handle conflicting priorities on multiple projects? Can you provide an example?
• What questions do you have about the tools or technologies you would be using in this role?