Data Architect (Intermediate / Mid)

As a Data Architect at Avalore, your primary responsibilities will involve designing and building relational databases that facilitate efficient data storage and processing. You’ll also develop strategic plans for warehouse implementation, handle data acquisition, and manage archive recovery operations. Another key part of your role will be maintaining the database, ensuring old and irrelevant data is cleared out while evaluating data sources for quality standards and integration.

To be considered for the Data Architect position at Avalore, you will need at least a Bachelor’s degree in computer science, information systems, or a similar technical field. Moreover, having a minimum of four years of professional experience as a Data Architect specifically within the IC realm is essential. It's also important to possess excellent communication skills and have an active Top Secret security clearance.

Yes, Avalore offers robust training and development opportunities for its Data Architects. We believe in nurturing our employees' growth and providing resources and support to help you enhance your skills and advance your career in data architecture.

Absolutely, at Avalore, a current and active Top Secret security clearance is a mandatory requirement for the Data Architect position. This is due to the sensitivity of the data you will be working with, so it's essential that candidates meet this criterion.

As a Data Architect at Avalore, you can expect to receive a comprehensive benefits package. This includes health care plans covering medical, dental, and vision, retirement options like 401k plans and IRAs, life insurance benefits, and generous paid time off. Additionally, you’ll have access to short and long-term disability support, along with an Employee Assistance Program for well-being.

When answering this question, outline specific projects where you’ve designed relational databases, detailing the objectives, your design processes, and the outcomes. Highlight any tools and technologies you've used effectively.

Be prepared to discuss the various strategies you prefer, along with the rationale for your choices. Mention any frameworks or methodologies you've utilized and how they contributed to successful implementation.

Discuss your data quality assessment techniques as well as the metrics you utilize to evaluate data sources. Explain your approach to integrating varied data types while maintaining consistency and reliability.

Provide specific examples of your database maintenance practices. Include your methodology for identifying outdated or unnecessary data and the tools you’ve employed to execute data cleaning efficiently.

Illustrate your communication skills and how they help in brainstorming sessions with supervisors. Demonstrate how you manage to contribute creatively while respecting the guidance provided by your superiors.

Share a specific example of a challenging project, focusing on the obstacles you faced, your problem-solving approach, and the end results. Emphasize the skills and knowledge that made you successful.

Explain how understanding client needs has shaped your design decisions and outcomes. Provide examples demonstrating your client interaction skills that led to successful project outcomes.

Discuss the resources you engage with such as blogs, webinars, or professional networks. Mention any relevant certifications or courses that reflect your commitment to continuous learning in this fast-paced field.

List the tools or software applications that you have found invaluable in your role. Provide insights into why they're key to your success and how they enhance your workflow and database management.

Talk about your collaborative experiences with teams including data analysts, developers, and project managers. Describe your approach to communication, teamwork, and how these factors lead to successful project execution.