ETS Senior Principal Data Architect (Azure)

As an ETS Senior Principal Data Architect at Navy Federal, your primary responsibilities include architecting, designing, and building cloud-based data services. You'll optimize conceptual and logical data models, implement data migration strategies, and ensure efficient, secure data storage. Your role will also involve guiding the organization's cloud data strategy and driving innovation in scalable data analytics solutions, including ML and AI applications.

To qualify for the ETS Senior Principal Data Architect position at Navy Federal, candidates typically need extensive experience in data architecture, particularly with cloud data platforms like Azure. A strong understanding of data modeling and data migration strategies is essential. Furthermore, proficiency in analytics, particularly with ML and AI technologies, is highly desirable. Educational qualifications may include a bachelor's degree in computer science or a related field, while advanced degrees can be an asset.

The ETS Senior Principal Data Architect at Navy Federal plays a vital role in fostering data innovation by guiding the company's cloud data strategy. By leveraging expertise in cloud platforms, this architect ensures the implementation of state-of-the-art data analytics solutions, enhances data accessibility, and promotes the development of machine learning and AI capabilities, thereby driving business transformation.

An ETS Senior Principal Data Architect at Navy Federal can expect a collaborative and innovative work environment where teamwork and shared knowledge are highly valued. With a focus on professional growth, you will work alongside other skilled professionals in a supportive atmosphere that encourages creative problem-solving and the application of new technologies to enhance data strategies.

As an ETS Senior Principal Data Architect at Navy Federal, there are numerous opportunities for career advancement. You may move into higher leadership roles such as the Chief Data Officer or data strategy consultant. Additionally, you could expand your expertise into specialized areas such as data science or machine learning which are key growing sectors within the organization.

When answering this question, provide specific examples of your previous work with Azure or other cloud data platforms. Highlight projects where you architected data solutions, managed data migration, or optimized data models. Discuss the tools and services you utilized, and the impact your contributions had on the overall data strategy.

To effectively tackle this question, explain your methodology for data modeling, starting from understanding the business requirements to designing scalable models. Reference any tools and frameworks you use to ensure the integrity and performance of your data models. Sharing a past experience where you successfully optimized a data model can strengthen your answer.

Share insights into your data migration strategies by discussing the steps you follow, such as planning, data cleansing, testing, and documentation. Consider providing a specific project example and how you tackled challenges during migration, ensuring little to no disruption to the ongoing business operations.

Mention the importance of following industry regulations and best practices when designing your data architecture. Discuss methods you implement, such as data encryption, access controls, and regular audits to ensure compliance and security. You can also reference experiences where you successfully navigated security challenges in past projects.

Use the STAR method (Situation, Task, Action, Result) to narrate a compelling story of when you spearheaded an innovative data solution. Highlight the problem, your approach, the collaborative effort, and the positive outcomes that resulted, particularly emphasizing the impact on the organization.

Convey your commitment to continuous learning by discussing the resources you use to stay current, like online courses, industry conferences, and webinars. Mention specific topics or technologies you’re excited about and how you've applied new knowledge to improve your work.

Discuss the critical role data architecture plays in enabling effective data utilization across all levels of an organization. Elaborate on how strong data architecture aligns with business goals, supports analytics initiatives, and drives decision-making processes.

Provide an overview of projects or use cases where you incorporated machine learning or AI technologies as part of your data solutions. Discuss specific algorithms or models you’ve worked with and the results those innovations brought to the organization.

Focus on a significant challenge and the steps you took to overcome it. Be detailed in describing how your problem-solving skills and collaboration with team members contributed to a successful resolution. Highlight any learning outcomes from the experience.

Here, express your passion for the role and the organization's mission. Discuss how your values align with Navy Federal and how your expertise can contribute to their goals. Reference any personal connections or experiences that make this opportunity particularly meaningful to you.