Senior Information and Data Architect - job 1 of 2

A Senior Information and Data Architect at The Boeing Company is responsible for leading the design and implementation of robust data architectures. This includes defining requirements, assessing design constraints, and ensuring that architecture meets both regulatory and operational needs. You'll also be involved in drafting data management standards and collaborating across various teams to optimize data management practices.

To qualify for the Senior Information and Data Architect position at Boeing, candidates should have over 10 years of experience in data architecture, enterprise architecture, and information technology architecture. Expertise in cloud platforms, security, and compliance with regulations such as ITAR is preferred, alongside proven leadership experience within development teams.

Boeing's Senior Information and Data Architect plays a crucial role in ensuring data compliance by navigating complex regulatory frameworks, implementing architectural standards that adhere to compliance, and auditing data management practices to align with industry regulations. This position requires a thorough understanding of compliance requirements to advocate for best practices within the team.

At Boeing, Senior Information and Data Architects can benefit from various avenues for professional growth, including mentorship programs, leading projects that introduce innovative solutions, and access to continued education and cloud certifications. The collaborative environment supports knowledge sharing and skill enhancement, empowering architects to excel in their careers.

The work culture for Senior Information and Data Architects at Boeing is collaborative, innovative, and supportive. You will work within diverse teams that value creativity and a proactive approach to problem-solving. Boeing emphasizes a balanced work-life dynamic, creating a conducive atmosphere for professional development and teamwork.

When addressing this question, provide specific examples of projects you've worked on in cloud environments. Highlight your understanding of cloud architecture frameworks, data distribution models, and any tools or platforms you've successfully integrated. Be sure to illustrate how you addressed challenges and ensured compliance.

Discuss your methodology for assessing architectural solutions, including how you conduct feasibility studies, perform trade-off analyses, and consider regulatory requirements. Provide examples of past experiences where your evaluation led to effective architectural choices that contributed positively to project outcomes.

Talk about the importance of staying updated with data regulations and a systematic approach to compliance. Mention your experience with drafting architecture that adheres to regulations, conducting audits, and collaborating with stakeholders to ensure ongoing compliance and alignment with industry standards.

Explain your approach to simplifying complex architectural concepts. This may involve developing visual models or using analogies that relate to stakeholders’ areas of expertise. Mention the importance of clear communication and engagement, ensuring stakeholders understand key decisions and their implications.

Select a specific project that involved unique challenges, such as tight deadlines or complex compliance requirements. Outline your role in leading the project, the challenges faced, how you addressed them, and the successful outcomes achieved.

Share your approach to staying informed about emerging technologies, tools, and best practices in data architecture. Mention any professional organizations, online communities, or certification programs you participate in to keep your skills sharp and relevant.

Describe your prioritization strategy when handling multiple projects. Discuss how you assess project urgency and importance, allocate resources effectively, and communicate with other team members to ensure that deadlines are met without compromising quality.

Explain the value you place on mentoring and coaching in a team environment. Discuss how you foster collaboration, encourage growth among peers, and share knowledge to collectively improve project outcomes and overall team performance.

Discuss your approach to identifying, isolating, and resolving data inconsistencies during implementation stages. Provide examples of previous experiences where you successfully navigated through these issues and what measures you took to ensure a seamless resolution.

Mention specific architectural frameworks that are relevant to data architecture, such as TOGAF or Zachman. Discuss your experiences in applying these frameworks to guide project decisions, ensuring alignment with organizational goals while addressing regulatory needs.