Senior Data Platform Engineer

As a Senior Data Platform Engineer at Sovrn, you will be responsible for designing and implementing a robust data architecture, troubleshooting data processing issues, and optimizing data access and performance across our platforms. You will work on ensuring data integrity and governance, providing actionable insights for our internal business teams, and collaborating with cross-functional resources to improve data processing methods.

To qualify for the Senior Data Platform Engineer role at Sovrn, candidates should have a solid understanding of big data processing, particularly with Spark and Databricks, as well as hands-on experience in AWS ecosystems. Experience with orchestration tools like Airflow, proficiency with databases such as Postgres and DynamoDB, and a strong grasp of data governance are also essential for success in this role.

Sovrn emphasizes data quality and governance by ensuring that the Senior Data Platform Engineer manages business-critical datasets effectively. This includes implementing governance structures, monitoring performance metrics, and ensuring compliance with regulations like GDPR. The role is designed to foster collaboration with various teams to ensure that data is ready and accurately documented for internal users.

In the Senior Data Platform Engineer position at Sovrn, you'll work with an array of modern technologies including Spark, Databricks, AWS, and orchestration tools like Airflow. You'll also engage with databases such as Postgres and DynamoDB, ensuring that our data architecture is built on cutting-edge solutions to meet the evolving business needs.

The work environment for a Senior Data Platform Engineer at Sovrn is collaborative and innovative. We offer a hybrid work model based in Boulder, Colorado, enabling you to work flexibly while still benefiting from team interactions. Our culture emphasizes continuous learning, accountability, and creative problem-solving, making it a rewarding place to grow your career.

When answering this question, you should highlight specific technologies like Spark and Databricks you've worked with. Discuss projects where you've applied these tools to solve real-world data problems, emphasizing the impact your work had on the organization.

To answer this question effectively, explain your strategies for validating data and monitoring pipelines. Share your approach to implementing data governance policies and any tools you’ve used to maintain data quality.

A great response will include the specifics of the problem, how you approached it, the steps you took to find a solution, and the final outcome. Illustrate your problem-solving skills and collaboration with your team, aligning it with the role's requirements.

Discuss your experience with orchestration tools like Airflow. Provide examples of how you've built, scheduled, and monitored data workflows, and detail any challenges you faced and overcame during these processes.

Show your enthusiasm for continuous learning by mentioning resources like online courses, webinars, conferences, or relevant publications. Illustrate how you apply this knowledge in your work at Sovrn and how it helps in your role.

Explain your understanding of data modeling methodologies, citing examples from your experience. Discuss how you determine the structure of data and implement best practices for modeling in big data platforms.

Detail examples of how you've worked with engineers, data scientists, and business analysts, emphasizing communication and teamwork. Discuss specific projects where collaboration led to significant improvements or insights.

Discuss your knowledge of data security regulations such as GDPR and CCPA, outlining strategies you've implemented to ensure compliance and protect sensitive data within your previous roles.

Outline a systematic approach for troubleshooting, including defining the problem, identifying root causes, implementing actionable solutions, and verifying results. Use specific examples to demonstrate your effectiveness in resolving data issues.

This is an opportunity to connect your career goals with Sovrn's mission. Discuss how your skills and values align with the company’s goals, and express your excitement about collaborating in a culture that empowers Open Web businesses.