System Engineer - Enterprise Data Engineer

As a System Engineer - Enterprise Data Engineer at Esri, your primary responsibilities will include consulting with customers to fully understand their technical requirements, designing enterprise database strategies, and implementing these solutions throughout the engagement lifecycle. You will be expected to create logical and physical geodatabase models, configure maintenance strategies for enterprise geodatabases, and deliver technical demonstrations tailored to various audience levels. Collaborating closely with software development teams to enhance customer experiences will also be a key part of your role.

To qualify for the System Engineer - Enterprise Data Engineer position at Esri, you should have at least 8 years of professional experience in database architecture and administration, with expertise in platforms such as Oracle, SQL Server, PostgreSQL, or SAP Hana. A bachelor's degree in Computer Science, Mathematics, GIS, or a related field is necessary, and knowledge of geospatial concepts and geoprocessing tools is highly recommended. Familiarity with programming languages like Python and SQL, as well as a commitment to maintaining a US Security Clearance, are also essential.

Esri is dedicated to fostering a diverse and inclusive work environment for all its employees, including System Engineers like you. The company values employees from different backgrounds, experiences, and perspectives, understanding that diversity drives innovation. Esri actively works towards creating a supportive culture where everyone can thrive and contribute to meaningful projects. Through various initiatives aimed at promoting racial equity and social justice, Esri makes a concerted effort to ensure that diversity, equity, and inclusion are ongoing priorities in its workplace.

A typical day for a System Engineer - Enterprise Data Engineer at Esri involves a variety of tasks that include consulting with clients to assess their needs, working on designing and developing enterprise database architectures, and conducting technical demonstrations to showcase GIS capabilities. You will also spend time collaborating with project teams, addressing technical issues, and refining data management strategies. With each project tailored to unique client needs, no two days will ever be the same, ensuring you remain engaged and challenged.

Esri offers strong career growth opportunities for System Engineers - Enterprise Data Engineers. The company supports professional development through mentorship, training programs, and access to the latest technologies in GIS and database management. By participating in cross-functional projects and collaborating with expert colleagues, you can expand your skill set and prepare for advanced positions within the organization. Esri also encourages employees to pursue certifications and further education, paving the way for long and fulfilling careers.

When answering this question, highlight specific projects where you designed enterprise databases for GIS applications. Discuss the tools you used, the challenges you faced, and how you applied best practices to ensure efficiency and performance.

Explain your methodology for gathering requirements, such as conducting stakeholder interviews or analyzing existing systems. Be sure to emphasize your ability to communicate effectively with both technical and non-technical team members.

You should mention several common strategies like indexing, optimizing queries, or adjusting resource allocation. Providing examples from past projects will demonstrate your practical knowledge in this area.

Discuss your experience with implementing security protocols, access controls, and regular audits within database environments. Emphasize your adherence to industry standards for data protection.

Provide a concrete example of a challenging situation, detailing the problem, your diagnosis, the solution you proposed, and the project's impact. Highlight your troubleshooting and critical thinking skills.

Mention the languages you are most comfortable with, such as SQL or Python, and provide examples of how you’ve used them for database management tasks or automating processes.

Illustrate your commitment to lifelong learning by mentioning specific resources, conferences, or subscriptions that you use to keep abreast of technological advancements within GIS and database management.

Discuss past collaborations where you worked with developers to integrate GIS services. Emphasize clear communication, joint planning, and your proactive approach to problem-solving to ensure successful project outcomes.

Provide an example of a time you simplified technical information for a non-technical audience. Highlight your communication skills, ability to use visuals or analogies, and ensure the audience's understanding.

Discuss qualities like strong analytical skills, effective communication, adaptability to changing technologies, and a customer-centric approach. Relate them to your personal attributes and experiences.