Okay, I've searched for Data Architect or Engineer roles in Rosemead, California, that focus on distributed data platforms, require expertise in Spark and Airflow, demand full-time commitment, and involve experience with CI/CD pipelines. I have found 76 positions for you.

Sure. Here's the analysis:

Job Analysis:

The Data Architect/Engineer role primarily focuses on designing, building, and optimizing data platforms and pipelines that enable the organization to harness and analyze large-scale data effectively. This position requires an individual who has a solid grasp of distributed data systems, as well as expertise in modern data engineering practices such as data integration and pipeline orchestration. The candidate will be expected to navigate challenges related to real-time data processing, ensuring data quality and compliance, while also taking the initiative to enhance existing data architectures using tools like Spark and Apache Kafka. Success in this role entails not only delivering robust data solutions but also collaborating effectively across teams to implement necessary changes, adapt to evolving requirements, and drive innovative data strategies that align with broader business insights. In summary, this role is central to elevating the company's analytical capabilities and leveraging data as a key asset for decision-making.

Company Analysis:

Jobs via Dice operates in the tech recruitment industry, positioning itself as a connector between technology professionals and companies seeking their skills. As a marketplace for tech talent, it emphasizes growth, innovation, and continuous learning in its mission. This culture likely prioritizes agile and adaptive strategies, which can be both a challenge and an opportunity for the Data Architect/Engineer role. The company’s focus on tailored career opportunities suggests that the individual in this role will have a significant influence on the client companies’ data strategies, underscoring the importance of being innovative and forward-thinking. Given this context, the Data Architect/Engineer will be integral in shaping the data environments that enhance decision-making and operational efficiency across diverse client needs. Furthermore, the role demands a collaborative spirit, as cross-functional partnerships will be vital to meet the evolving standards of data governance and compliance within a fast-paced tech landscape.

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

• Tell me about a time when you had to design a data architecture from scratch. What challenges did you face, and how did you overcome them?
• Describe a situation where you improved the performance of a data pipeline. What steps did you take?
• Can you give an example of how you've collaborated with cross-functional teams to ensure data quality and compliance standards were met?
• How would you approach optimizing a data pipeline using Spark and Airflow? What key factors would you consider?
• What is your experience with implementing Change Data Capture mechanisms? Can you describe a specific instance?
• How do you ensure data governance and compliance in your data architecture strategies?
• Imagine you are tasked with troubleshooting a failing data pipeline. How would you approach identifying and resolving the issues?
• What strategies would you use to monitor and tune distributed data clusters in a Kubernetes environment?
• Why are you interested in working for Jobs via Dice specifically in a Data Architect/Engineer role?
• How do your career goals align with the mission of helping tech professionals build their careers at Jobs via Dice?
• What motivates you to stay updated on the latest trends in data architecture and engineering?
• Can you explain how you would utilize Jenkins and GitHub in the context of CI/CD in your daily workflow?
• What questions do you have about the types of projects you might be handling in this role?
• What tool do you find most essential for data visualization, and why?