Okay, I've searched for Data Engineering Architect roles in Dallas, TX, requiring 10+ years of experience, with expertise in Snowflake and cloud platforms, for full-time positions. I have found 42 positions for you.

Sure. Here's the analysis:

Job Analysis:

The Data Engineering Architect role is fundamentally about leading an enterprise-grade transformation of data infrastructure, specifically migrating and architecting Snowflake-based solutions to replace legacy data warehouses. This person is expected not only to possess deep technical expertise in Snowflake and cloud platforms like AWS, Azure, or GCP, but also to have a strategic mindset for modernization initiatives. The role requires an architect’s vision—to define scalable, secure, and optimized data models and govern data access and sharing effectively while ensuring high performance and maintainability. Given the emphasis on end-to-end migration, the candidate must be skilled at assessing existing platforms, crafting roadmaps, and managing complex transitions—balancing innovation with operational stability. Success in this role means delivering a seamless migration that enhances analytics capabilities, mentors teams, and aligns data architecture with evolving business needs. Strong communication and stakeholder engagement are critical since collaboration across technical and business functions is needed to translate requirements into actionable technical solutions and adoption. The underlying challenge is to modernize data infrastructure without disrupting ongoing operations, all while future-proofing the environment with cutting-edge Snowflake features and best practices.

Company Analysis:

Anblicks operates as a specialized consultancy focused on strategic data modernization for enterprises, emphasizing data migration, re-architecture, and managed data services through its proprietary AIM framework—Advise, Implement, and Manage. This approach suggests a highly consultative, end-to-end partnership model with clients, positioning itself as a trusted guide in complex, transformative data initiatives. The company culture likely values innovation, agility, and deep technical proficiency combined with clear communication and client-centric service delivery. For someone stepping into the Data Engineering Architect role, this environment means working at the intersection of technical leadership and strategic client engagement. The role’s impact extends beyond internal execution to shaping client outcomes and educating internal teams, reflecting a growth-oriented, mission-driven culture focused on unlocking value through data. Given Anblicks’ emphasis on data democratization, governance, and AI-driven competitive advantage, this architect role aligns closely with the company’s vision of empowering clients through modern, scalable, and governed data platforms. The candidate should see this as a chance to thrive in a dynamic, innovative consultancy environment where influence spans technical design, client consulting, and organizational mentorship.

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

• Behavioral: Tell me about a time when you led a complex data migration or modernization project. What challenges did you face and how did you overcome them?
• Behavioral: Describe an experience where you had to influence stakeholders from both technical and business teams to adopt a new data architecture approach.
• Behavioral: How have you mentored junior engineers or analysts in adopting new data technologies or best practices?
• Behavioral: Share an example of when you identified a performance bottleneck in a data platform. What steps did you take to optimize it?
• Technical: How would you approach designing a Snowflake data model to ensure scalability, security, and performance?
• Technical: What are the key considerations and best practices when migrating from legacy data warehouses to Snowflake in a cloud environment?
• Technical: Can you walk us through your experience integrating Snowflake with AWS/Azure/GCP? What challenges are common and how do you address them?
• Technical: Explain how you implement data governance and access controls specifically using Snowflake features.
• Situational: Imagine you discover that the existing ETL processes are inefficient and cause delays post-migration. How would you approach redesigning them?
• Situational: If a stakeholder requests a feature that compromises data security or governance, how would you handle the conversation?
• Situational: Suppose a cross-functional team disagrees on requirements for data sharing policies in Snowflake. How do you resolve this and move forward?
• Company Fit/Motivation: What interests you most about working at Anblicks and how do you see your experience contributing to our AIM framework?
• Company Fit/Motivation: How do your personal values and career goals align with Anblicks’ mission to empower clients with data-driven solutions?
• Company Fit/Motivation: Given Anblicks' consultative approach, how comfortable are you working closely with client stakeholders throughout a data transformation engagement?
• Candidate Questions to Ask Interviewer: How does Anblicks currently balance technical innovation with operational stability across client data platforms?
• Candidate Questions to Ask Interviewer: Can you describe the typical team structure around a data migration project and how this architect role interacts with other functions?
• Candidate Questions to Ask Interviewer: What are Anblicks' plans for expanding Snowflake capabilities or incorporating AI-driven data strategies in the near future?