Senior Software Engineer, Data Platform

As a Senior Software Engineer at Material Bank, your primary responsibilities include designing and operating our enterprise data lakehouse, developing monitoring frameworks, creating data transformation pipelines, and implementing CI/CD for data workflows. You'll also work with stakeholders to gather requirements and ensure the delivery of high-quality data products.

Candidates for the Senior Software Engineer position at Material Bank should have at least 5 years of experience in data or software engineering. You’ll need strong proficiency in Python and SQL, along with expert-level knowledge of dbt, and a solid understanding of modern data modeling and orchestration techniques.

In this role at Material Bank, you'll be working with various technologies including cloud platforms (preferably AWS), Airflow for orchestration, dbt for data transformations, and ClickHouse for OLAP workloads. Experience with Docker and Kubernetes would also be beneficial.

Material Bank is committed to employee growth by encouraging creativity and initiative within teams. We provide opportunities for career advancement, support continued learning through workshops and trainings, and foster a collaborative environment where you can thrive.

The workplace culture at Material Bank is inclusive and supportive. As a Senior Software Engineer, you'll enjoy working with innovative and fun colleagues in a fast-paced environment, alongside benefits like generous PTO, health plans, and opportunities to give back to the community.

When answering this question, focus on your hands-on experience with data lakehouses, detailing specific projects you've worked on. Emphasize your understanding of architecture, analytical tools, and the operational strategies you’ve implemented.

Discuss specific examples where you have used dbt for data transformation workflows. Highlight your experience with model testing, deploying practices, and how you ensure data quality using dbt.

Provide insights into the monitoring frameworks you’ve developed, mentioning tools and methodologies that help track data pipeline health and performance. Discuss any metrics you monitor and how you utilize this data to improve processes.

Share how you’ve implemented CI/CD pipelines in your previous roles for data workflows, emphasizing the benefits such as reducing deployment risks and improving update speed. Focus on your proficiency with tools and practices that facilitate this.

Discuss specific challenges you’ve encountered and how you addressed them, whether they were related to processing speed, data quality, or system reliability. Show your problem-solving skills and strategies you've employed.

Explain your communication strategies when working with business teams. Touch on how you gather requirements, translate technical information into understandable terms, and balance technical constraints with business needs.

List the cloud platforms you’ve worked with, particularly AWS if applicable. Describe the specific services (like S3, EC2) you leveraged for data storage, processing, or deployment, and explain how they contributed to project success.

Discuss methodologies you implement to ensure data quality, including specific validation techniques, tools used for testing, and processes involved in maintaining data integrity throughout the lifecycle.

Describe a specific scalable data solution you've designed or implemented, emphasizing architecture patterns used and how you achieved scalability. Discuss performance metrics and feedback from users.

Emphasize your admiration for Material Bank’s innovation in the architecture and design industry. Discuss how your skills align with the company’s goals and how you look forward to contributing to its mission.