Okay, I've searched for Enterprise Data Architect roles in Sterling, VA, requiring 10+ years of experience in cloud-native data architecture, with expertise in AI/ML, and for full-time positions. I have found 27 positions for you.

Sure. Here's the analysis:

Job Analysis:

The Enterprise Data Architect at REI Systems is fundamentally hired to lead the design and implementation of innovative data strategies that align with federal agencies' missions and their operational complexities. This role's primary responsibilities involve developing forward-looking data architectures, data management strategies, and governance frameworks while ensuring these solutions scale and adhere to security standards. Candidates will encounter challenges such as cross-agency data integration, navigating regulatory compliance, and architecting AI/ML solutions that influence key agency decisions. Success in this role involves generating measurable business outcomes that directly contribute to client satisfaction and impact, all while fostering collaboration across diverse technical teams. Candidates will need to demonstrate a high degree of autonomy in decision-making, particularly when navigating the complexities of federal data environments, emphasizing the vital intersection of technology and strategic oversight necessary to thrive in this position.

Company Analysis:

REI Systems positions itself as a trusted technology partner within the federal landscape, dedicated to helping clients navigate modern challenges with an innovative mindset. As an employee-owned entity, there is a clear alignment between the company’s mission and its workforce—each team member is invested in delivering excellence and impact, which cultivates a culture that values collaboration, continuous learning, and flexibility. The company's emphasis on Mindful Modernization® reflects a strategic commitment to marrying technology with mission objectives, indicating that adaptability and innovation are valued traits. The Enterprise Data Architect role extends into significant organizational visibility as it will collaborate closely with senior leadership and cross-functional teams, impacting both strategic growth and operational improvements. This role not only supports current efforts but is strategically positioned to identify future opportunities, ensuring that REI Systems continues to expand its influence and achieves measurable outcomes for its federal clients.

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

• Tell me about a time you designed a data architecture solution that met specific client needs. What was your approach, and what impact did it have?
• Describe a challenging project where you had to lead a cross-functional team. How did you ensure collaboration and alignment towards the project's goals?
• Can you discuss an instance when you had to advocate for a data governance framework? What challenges did you face, and how did you address them?
• How would you approach architecting data solutions for AI/ML initiatives that require both scalability and security?
• What is your experience with big data platforms like Snowflake or Databricks? Can you provide an example of a project where you utilized these technologies?
• How do you stay informed about emerging data management trends and technologies? Can you give an example of how you've applied this knowledge in your work?
• Imagine you're tasked with proposing a new data strategy for a federal agency that has been slow to adopt cloud-based technologies. What steps would you take to present a convincing case?
• You're leading a project that requires integrating data from multiple federal agencies with different security compliance needs. How would you ensure that the proposed architecture meets all necessary regulations?
• Why are you interested in working at REI Systems specifically, and how do you see your skills contributing to our mission?
• How do your values align with REI Systems' commitment to employee wellness and professional fulfillment?
• What do you think is the most critical factor in developing a successful partnership with federal clients regarding data solutions?
• Can you describe how you would mentor a junior technical staff member in the context of data architecture and engineering?
• What questions do you have about our Mindful Modernization® approach and how it relates to your role as a Data Architect?
• How do you measure the success of a data architecture implementation? What metrics do you consider most important?
• Can you discuss a time when you identified a market opportunity for a data-driven solution? How did you contribute to the strategy or execution?