Data Platform Engineer III

The primary responsibilities of a Data Platform Engineer III at our company include implementing data-centric solutions, optimizing data delivery processes, and collaborating with various technology teams. You will be tasked with automating manual processes, ensuring performance testing for products in production, and continuously improving the systems in place for efficiency, security, and cost savings.

To be successful in the Data Platform Engineer III position, you should be skilled in SQL programming, data processing and integration tools like ADF and SSIS, and familiar with various data storage systems including RDBMS, NoSQL, JSON, and XML. Additionally, experience with Microsoft Azure Data Services, CI/CD tools, and advanced programming skills are crucial for this role.

The Data Platform Engineer III plays a pivotal role in supporting ongoing projects by ensuring that the data delivery architecture is consistent and optimized. By collaborating closely with data scientists, analysts, and other tech teams, you'll help implement systems that facilitate better data flow, leading to more informed business decisions.

Continuous learning is vital for a Data Platform Engineer III as the technology landscape is constantly evolving. Staying updated with industry standards will allow you to apply the latest advancements to improve product quality, enhance business performance, and contribute to innovative solutions that drive success within the company.

As a Data Platform Engineer III, you will have access to various professional development opportunities, including internal training programs and mentorship. Our company values innovation and encourages employees to pursue certifications and further education that align with their career goals while providing a supportive and collaborative work environment.

In your response, highlight specific projects where you've effectively used SQL to manipulate data, create complex queries, or optimize database performance. Provide examples of how your SQL skills have contributed to successful data engineering projects or improved processes.

When answering this question, discuss your methodology for building data pipelines, emphasizing your preferred tools such as ADF or SSIS. Mention how you ensure data integrity, performance, and scalability when designing these pipelines.

Discuss specific strategies such as implementing data encryption, access control measures, and regular audits. Emphasize your understanding of compliance standards and how you would integrate security practices into every aspect of data handling.

Share how you've applied Agile methodologies in previous projects, focusing on team collaboration, iterative development, and adapting to changes. Highlight how this approach has benefited your data engineering projects.

Detail specific monitoring tools and techniques you use to ensure data services are healthy, along with regular maintenance routines. Offer examples of issues you've resolved and preventative measures you've implemented.

Talk about your methods for continuous learning such as webinars, online courses, reading industry blogs, and participating in relevant forums or groups. Show that you are proactive in your professional development.

Use this opportunity to share a specific challenging project. Discuss the problem, your approach to solving it, the technologies used, and the outcome. This demonstrates your problem-solving skills and ability to deliver under pressure.

Explain your testing and review processes post-deployment, including performance assessments and user feedback collection. Highlight your commitment to continuous improvement based on this data.

Discuss the importance of documentation in ensuring compliance, knowledge sharing, and system maintenance. Provide examples of documentation you’ve created and how it benefited your team or the organization.

Express your interest in the specific responsibilities and values of the company, highlighting how they align with your career goals and values. Discuss your enthusiasm for the potential to contribute to innovative data solutions within a collaborative environment.