Database Architect

As a Database Architect at Texas GovLink, you will manage and oversee multiple projects as part of the Data Governance team. Your key responsibilities will include designing, developing, and testing ETL processes for the data warehouse, documenting current schemas, defining the technical architecture, and performing additional analytical tasks to support the enterprise data warehouse.

To apply for the Database Architect position at Texas GovLink, candidates must have a minimum of 8 years of experience in designing and developing ETL processes, preferably using Informatica, along with hands-on experience in data warehouse development, and strong knowledge of various RDBMS such as Oracle and SQL Server.

As a Database Architect at Texas GovLink, you will frequently use tools like Informatica for ETL processes, along with experiencing data modeling tools such as erwin. Familiarity with cloud technologies, particularly Amazon Web Services, will also be beneficial for your role.

Texas GovLink offers a competitive benefits package, including medical insurance (with a shared cost), life insurance, a matching 401(k) plan, and a cafeteria plan. We are committed to supporting our consultants not only with great rates but also through comprehensive benefits.

The interview process for the Database Architect position at Texas GovLink begins with a review of your qualifications, followed by an interview where you'll demonstrate your expertise. Candidates may also undergo a background check and drug screening as part of our hiring policies.

When asked about your experience with ETL processes, focus on specific projects where you've designed or developed ETL workflows. Highlight your expertise with tools like Informatica, along with the challenges you faced and how you overcame them.

Discuss your philosophy toward data modeling and the methodologies you prefer, such as dimensional modeling or normalization. Provide examples of successful models you've developed and the impact they had on project outcomes.

Explain your strategies for maintaining data quality, such as implementing data validation rules, automated testing, and profiling data throughout the ETL process. Provide examples of tools and techniques you use to assess quality.

Be candid about specific challenges you faced during data migrations, such as compatibility issues or data integrity problems. Share the strategies you used to resolve these challenges while ensuring a smooth transition.

Discuss your commitment to continuous learning through channels such as online courses, industry conferences, or webinars. Mention specific resources you find valuable and how they influence your work as a Database Architect.

Elaborate on your approach to maintaining comprehensive documentation, including source to target mapping and technical architecture. Highlight why documentation is crucial for team communication and historical knowledge.

Discuss the importance of data governance and how you've applied principles like data stewardship, compliance, and quality standards in your past projects. Mention how you collaborate with different teams to uphold these practices.

Share your techniques for fostering collaboration, such as regular check-ins, documentation sharing, or effective communication tools. Highlight successful team projects where your collaborative approach made a significant difference.

Provide an example of a data project where you were responsible for analyzing technical requirements. Share how you gathered requirements, communicated with stakeholders, and ensured alignment with business objectives.

Discuss your experience in performance tuning, including strategies such as indexing, query optimization, and partitioning. Provide examples where performance enhancements significantly improved response times or system efficiency.