Solutions Engineer

As a Solutions Engineer at Fetch, you will be responsible for meeting with data partners, gathering requirements, and recommending improvements for data export and delivery processes. Your role involves collaborating with cross-functional teams to enhance data product quality, maintaining expertise in Fetch's data pipelines, and innovating approaches to manage large datasets. Additionally, you will communicate your findings effectively to both technical and non-technical stakeholders.

To thrive as a Solutions Engineer at Fetch, candidates should possess at least 3 years of professional experience in data pipelines, data integration, and quality initiatives. Proficiency in SQL, experience with data modeling and orchestration tools, and knowledge of both relational and non-relational databases are crucial. Strong communication skills to convey complex data concepts to diverse audiences will also be necessary.

At Fetch, a Solutions Engineer plays a pivotal role in driving data innovation by designing and coordinating advanced data solutions. This includes modeling and analyzing data using best practices, translating business requirements into actionable insights, and leading data documentation initiatives. Your contributions will directly enhance how brands understand their customers and improve the overall shopping experience.

Collaboration is key for a Solutions Engineer at Fetch. You will engage with a cross-functional team, including engineers, product managers, and data scientists, to develop strategies that enhance our data offerings. By working closely with B2B partners and internal stakeholders, you'll ensure that the requirements are met while fostering a culture of teamwork and shared success.

The work environment for a Solutions Engineer at Fetch is designed to be supportive and innovative. With a people-first culture, the company values creativity and encourages its employees to think outside the box. Offering flexibility through remote work and a hybrid model allows you to collaborate with your team in stunning office locations or from the comfort of your own home.

When discussing your experience with data pipelines, focus on specific projects where you designed or managed data flows. Be sure to mention the technologies used and how you ensured data quality and efficiency in your processes.

Approach requirements gathering by emphasizing your keen listening skills, asking open-ended questions, and ensuring you understand both stated and unstated needs. Discuss how you document these requirements and follow up with stakeholders for clarification.

Share a specific example of a complex data problem you encountered, the steps you took to analyze the issue, and how you implemented solutions. Highlight your critical thinking skills and collaboration with teams to overcome this challenge.

Discuss various data quality assurance methods you have used, such as validation checks, data profiling, and continuous monitoring. Provide examples of how these methods positively influenced the quality of data in past projects.

Talk about your task prioritization strategies, such as utilizing tools like Jira or creating a priority matrix. Include your approach to balancing urgent requests with long-term projects while keeping all stakeholders informed.

Provide an overview of your SQL experience, highlighting specific instances where you optimized queries for performance. Include techniques you used, such as indexing, analyzing execution plans, or rewriting queries to reduce complexity.

Describe a project where you effectively collaborated with engineers, product managers, or data scientists. Emphasize your role in facilitating communication and how collective efforts led to the project's success.

Detail your experience with cloud technologies, particularly AWS. Mention relevant projects, the services you utilized, and any challenges you overcame while managing cloud resources.

Give an example of a scenario where you successfully communicated complex technical information to non-technical stakeholders. Emphasize your ability to simplify concepts and ensure clarity in your messaging.

Express your passion for problem-solving and how you find motivation in driving data innovation and creating effective solutions. Share your excitement for working at Fetch and being part of a team that impacts user experience positively.