[Job - 21458] Senior Data Architect, US

As a Senior Data Architect at CI&T, your responsibilities include defining the long-term data architecture vision, collaborating with various teams, mentoring junior members, evaluating new technologies, and ensuring data management best practices. You will also provide technical guidance, support the data development teams, and represent the data architecture in strategic forums.

For the Senior Data Architect position at CI&T, candidates typically need a Bachelor’s degree in Computer Science or a related field, along with over 5 years of relevant experience in data architecture or engineering. Expertise in modern cloud environments and specifically with the Snowflake platform is essential, as well as a strong grasp of CI/CD pipelines and data modeling.

At CI&T, we believe in the growth of our employees. For Senior Data Architects, we provide dedicated career advisors, opportunities for mentorship, and a culture that fosters continuous learning and innovation. We encourage participation in workshops and technical training, ensuring that our team stays ahead in the rapidly evolving tech landscape.

At CI&T, the work culture is centered on collaboration, diversity, and excellence. As a Senior Data Architect, you will work in an inclusive environment that values diverse experiences and perspectives. We promote a culture of innovation, where your ideas and contributions are recognized and encouraged.

Senior Data Architects at CI&T predominantly work with modern data architecture tools, focusing heavily on the Snowflake platform. In addition to this, familiarity with data quality tools, data governance solutions, and experience with cloud-based data engineering stacks is highly beneficial for this role.

When answering this question, be specific about the projects you’ve led, using metrics or outcomes to illustrate their success. Highlight the technologies you used, such as Snowflake, and describe any challenges you overcame to reinforce your leadership in data architecture.

To answer effectively, discuss specific regulations you’re familiar with, such as GDPR or HIPAA, and how your strategies for data governance ensure compliance. Mention any tools or processes you’ve implemented to regularly review and update compliance measures.

Focus on a specific instance where you successfully mentored a colleague, detailing your approach and the results. Highlight how your guidance improved their performance or understanding of complex data concepts, reflecting your leadership skills.

Lay out a structured decision-making process that considers business needs, current technology trends, and team capabilities. Include how you evaluate potential technologies' scalability and performance to ensure they align with long-term goals.

Mention your routine activities for staying informed, such as attending industry conferences, subscribing to relevant journals, participating in online forums, or taking courses. Consistency in learning is crucial, so demonstrate your commitment to professional development.

Use the STAR method (Situation, Task, Action, Result) to craft your response. Describe a specific challenge, outline your actions to resolve it, and share the positive impact of the solution on your team or project outcomes.

Discuss specific collaborative tools you use and how you facilitate communication among team members. Share an example of a successful collaborative effort and how it led to innovative solutions or improved project outcomes.

Summarize key data management principles you adhere to, such as data quality assurance practices and data lifecycle management. Highlight your knowledge of governance frameworks and explain how you implement these best practices in your architecture.

Give examples of CI/CD tools you are proficient with, explaining how you have implemented them to streamline ETL processes. Focus on the benefits this has brought in terms of efficiency and error reduction within data projects.

Talk about various factors you consider, such as business objectives, scalability, and emerging technologies. Emphasize the importance of aligning your vision with the overall strategic goals of the organization and stakeholder input.