To be considered for the Data Platform Lead position at GotPhoto, you should possess at least 5 years of experience in data engineering, proficient in SQL and Python, and have a strong background in ETL/ELT processes and data modeling. Familiarity with cloud platforms like AWS, alongside tools for data pipeline management, is essential. We also seek individuals who can communicate effectively with stakeholders and have the ability to lead and mentor a team.

As the Data Platform Lead at GotPhoto, your primary responsibilities will include designing and building a scalable data infrastructure, optimizing data pipelines, and ensuring data quality and governance. You will leverage cloud technologies to deploy data solutions, manage workloads, and foster an innovative team culture. Additionally, you’ll be responsible for creating accurate, automated ETL/ELT processes that align with business objectives.

GotPhoto prioritizes collaboration at every level, which is reflected in the Data Platform Lead role. You will guide a dedicated team of data engineers, encouraging a culture of teamwork, learning, and support. Regular interactions with stakeholders and cross-functional teams are also integral to ensure alignment and clarity in project goals and progress.

In the role of Data Platform Lead at GotPhoto, you will work extensively with technologies such as AWS for cloud deployments, Kubernetes for workload orchestration, and tools like Airbyte and Airflow for data management. Familiarity with infrastructure-as-code using Terraform and CI/CD practices with GitLab will also be crucial in this position.

Joining GotPhoto as a Data Platform Lead comes with numerous benefits, including a flexible hybrid work model, unlimited holiday allowances, and an education budget for professional development. You'll have the opportunity to work remotely and even enjoy workations abroad! Additionally, GotPhoto offers tailored employee benefits that empower you to choose the perks that best suit your needs.

When answering this question, highlight your specific experience with ETL/ELT tools and processes. Discuss any successful projects you've led, the methodologies you followed, and how you ensured the accuracy and efficiency of the data throughout the pipeline. Be sure to demonstrate your understanding of best practices in data integration and your ability to troubleshoot issues.

For this question, convey your approach to implementing data quality frameworks, governance policies, and monitoring practices. Discuss any specific tools you’ve used, how you define data contracts, and the importance of documentation. Highlight examples of how you’ve handled data discrepancies or governance challenges in previous roles.

In answering this, specify your proficiency with cloud technologies, particularly AWS, if applicable. Discuss any projects you've undertaken that involved deploying data solutions in the cloud, and highlight your experience with services like S3, Redshift, or others relevant to data engineering.

Talk about your method for prioritizing projects, such as using project management tools or frameworks. Mention how you assess business needs and align them with team capacities. Discuss your experience in consulting with stakeholders to ensure that the right projects receive attention in line with strategic goals.

When discussing mentorship, outline your philosophy on leadership and support. Give examples of techniques you've used to foster professional growth, such as conducting regular one-on-one meetings, providing constructive feedback, or encouraging autonomy in problem-solving.

This is an opportunity to demonstrate your commitment to continuous learning. Mention resources like industry blogs, webinars, online courses, or networking groups. Discuss how you apply new insights to your work and inspire innovation within your team.

Provide a detailed example that outlines the project scope, the teams involved, and your specific role in facilitating communication and collaboration. Highlight how the project benefited from diverse insights and expertise, leading to a successful outcome.

Explain your approach to problem-solving in data engineering. Provide examples of challenges you’ve faced, how you identified the root cause, and the steps you took to resolve the issue. Emphasize your analytical skills and ability to remain calm under pressure.

Discuss methods you've implemented to design scalable data architectures. Explain principles such as event-driven architectures, load balancing, and resource allocation that ensure the infrastructure can grow along with business needs. Use concrete examples to illustrate your points.

This is your chance to show genuine enthusiasm for the role and the company. Discuss certain aspects of GotPhoto’s culture, values, or mission that resonate with you. Highlight how the Data Platform Lead role aligns with your career goals and your commitment to empowering photographers through innovative data solutions.