Senior Sales Engineer

4+ years of experience in technical services, solutions engineering, or customer-facing technical roles Advanced Python development skills with experience building production data solutions Broad experience with modern data engineering tools and practices (DBT, Airflow, etc.) Proficiency with RESTful API design, integration, and troubleshooting Hands-on experience with multiple relational datastores (PostgreSQL, MySQL, SQL Server, Oracle, etc.) Experience with cloud-based and hybrid data solutions across major providers (AWS, GCP, Azure) Familiarity with popular data tools and frameworks in the modern data stack Proven track record of successful customer engagements and technical relationship building Excellent written and verbal communication skills, with ability to explain complex technical concepts to diverse audiences

Partner with customers to understand their data architecture, quality challenges, and business objectives Design and implement custom integration solutions using Python, RESTful APIs, and modern data engineering tools Develop out-of-band monitoring solutions that provide comprehensive data quality oversight without disrupting existing pipelines Build in-band pipeline integrations that embed Qualytics directly into customer data workflows using tools like DBT, Airflow, and custom orchestration frameworks Architect hybrid and cloud-native solutions across AWS, GCP, and Azure environments Write production-quality Python code for customer implementations, including custom connectors, data transformations, and integration utilities Collaborate with customer data engineering teams to optimize performance and ensure scalable deployments Create technical documentation, implementation guides, and best practice recommendations for customer success Conduct technical workshops, webinars, and training sessions for customer teams Represent Qualytics at industry conferences, meetups, and technical forums as a thought leader in data quality Provide feedback to product and engineering teams based on real-world customer use cases and requirements Mentor and support customer teams through complex technical implementations Give & receive constructive feedback that makes the overall team and product stronger