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Senior Solution Engineer

QualyticsRemote-USA
Remote Full-time

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Experience Level

Senior

Qualifications

QualificationsProven experience in data engineering, software development, or related technical fields. Strong proficiency in Python and experience with RESTful APIs. Familiarity with tools such as DBT, Airflow, and other modern data engineering frameworks. Experience in cloud environments including AWS, GCP, and Azure. Excellent communication and interpersonal skills to effectively engage with clients. Ability to work collaboratively in a fast-paced, remote environment.

About the job

The Opportunity

Join Qualytics as a Senior Solution Engineer, where you will act as a vital technical liaison between our cutting-edge platform and the intricate data ecosystems of our clients. This role uniquely blends advanced technical knowledge with customer-facing duties, ideal for someone who excels both in coding environments and in collaborative meetings. As a key advisor, your mission will be to guide enterprises in leveraging the full potential of the Qualytics platform.

In this position, you will engage directly with clients to design, implement, and enhance data quality solutions that seamlessly integrate with their existing systems. You will create both out-of-band monitoring solutions and in-band data pipeline integrations, ensuring that our platform maximizes its impact, tailored to each client’s architectural needs. Beyond implementation, you will represent Qualytics at industry events, webinars, and thought leadership sessions.

This is not an ordinary sales engineering job; you will be hands-on, developing production code, designing solutions, and tackling real technical issues alongside some of the most advanced data teams in the industry.

What You'll Do

  • Collaborate with clients to comprehend their data architecture and quality challenges, aligning with their business objectives.

  • Craft and execute custom integration solutions utilizing Python, RESTful APIs, and contemporary data engineering technologies.

  • Develop out-of-band monitoring solutions that offer comprehensive oversight of data quality without interrupting existing workflows.

  • Construct in-band pipeline integrations that embed Qualytics within client data operations using tools like DBT, Airflow, and custom orchestration frameworks.

  • Design hybrid and cloud-native solutions across AWS, GCP, and Azure platforms.

  • Write high-quality Python code for customer implementations, including custom connectors, data transformations, and integration utilities.

  • Partner with customer data engineering teams to enhance performance and ensure scalable deployments.

  • Produce technical documentation, implementation guides, and best practices to foster customer success.

  • Facilitate technical workshops, webinars, and training sessions for client teams.

  • Act as a thought leader by representing Qualytics at industry conferences, meetups, and technical forums.

About Qualytics

Qualytics is a forward-thinking company dedicated to enhancing data quality for enterprises. We empower our clients to harness the true potential of their data ecosystems through innovative solutions and exceptional support.

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