Cloud Director (Data Engineering)

As a Cloud Director (Data Engineering) at Jellyfish, your primary responsibilities will include designing and implementing cloud architectures for effective data migration and infrastructure on Google Cloud Platform. You will lead the development of scalable ETL/ELT pipelines, ensure high-performing data access, and establish robust data governance practices. Additionally, you will collaborate with various teams and provide mentorship to junior engineers, promoting a culture of innovation and continuous learning.

To excel as a Cloud Director (Data Engineering) at Jellyfish, candidates should have relevant Google Cloud Platform (GCP) certifications, hands-on experience with GCP services, and advanced SQL and Python skills. Familiarity with marketing APIs and cloud architectures is also crucial. Importantly, we value skills and expertise over traditional qualifications, making this position ideal for talent with a versatile approach to problem-solving and a strong will to innovate.

At Jellyfish, we are deeply committed to your career development. As a Cloud Director (Data Engineering), you’ll have access to customized growth opportunities, including one paid self-development day per month and unlimited online courses via LinkedIn Learning. We believe in creating an environment where you can continuously enhance your knowledge and skills while contributing to meaningful projects.

In the Cloud Director (Data Engineering) role at Jellyfish, you will primarily work with Google Cloud Platform technologies such as BigQuery, Dataflow, Pub/Sub, and Cloud Composer. You’ll also need to leverage APIs from marketing tech platforms like Meta and Salesforce Marketing Cloud, making your role integral to optimizing data solutions and enhancing our digital marketing strategies.

The work culture at Jellyfish for a Cloud Director (Data Engineering) is built on collaboration, diversity, and innovation. We embrace different perspectives and encourage creative problem-solving. With flexible working arrangements and a focus on personal well-being, you’ll be part of a team that values contributions, recognizes your efforts, and actively supports your professional journey.

When responding to this question, emphasize specific GCP services you’ve worked with, such as BigQuery or Dataflow. Discuss how your expertise in these technologies has helped improve data migration processes or optimize performance, making data more accessible for analytics. Relating your experiences directly to the needs of Jellyfish will demonstrate your fit for the Cloud Director role.

An effective answer should detail your strategy for pipeline design, including identifying data sources, determining data flow, and selecting tools for ETL processes. Share any past projects that highlight your problem-solving skills in scaling pipelines and how you’ve utilized tools like Cloud Composer and Dataflow to ensure efficiency and reliability.

Your response should include methods for maintaining data accuracy, security, and consistency across platforms. Discuss frameworks you use for data governance, how you handle compliance, and any tools or practices you incorporate to perform regular audits and maintain data quality.

Focus on a particular instance where you identified an inefficiency in data architecture. Discuss how you analyzed the problem, the steps you took to resolve it, and the impact of your solution. This showcases your analytical thinking and ability to adapt and innovate under pressure.

It's crucial to emphasize your commitment to continuous learning. Mention resources such as industry conferences, online courses, webinars, and blogs that you follow. Showing that you proactively seek knowledge demonstrates your enthusiasm for the field and your intention to bring new ideas to Jellyfish.

Share examples of how you've successfully guided junior engineers in their roles. Discuss mentorship activities you’ve led, any frameworks you promote for continuous learning, and how you encourage collaboration within a team. This highlights your leadership skills and commitment to nurturing talent.

In your answer, explain the techniques you apply for optimizing BigQuery queries, such as using partitioned tables, clustering, or denormalization. Specific examples of how these optimizations have positively affected performance in past projects will show your applied knowledge in real-world scenarios.

Demonstrate your understanding of data accessibility principles by discussing how you work with cross-functional teams to manage the flow and structure of data. Highlight strategies you’ve used to create data dictionaries or documentation that provide context and facilitate ease of use for analysts.

Your response should illustrate your familiarity with automation tools and scripting. Discuss past automation projects, how you identified need areas, and the benefits achieved for operational efficiency. This will showcase your initiative and technical proficiency in creating streamlined processes.

This is a chance to show your genuine interest. Share what excites you about Jellyfish’s mission, culture, or technology. Connect it to your career aspirations, emphasizing how you believe this role aligns with your skills and how you can contribute to Jellyfish’s goals.