Qualytics provides an AI-driven enterprise data quality platform that automates anomaly detection, rule generation, and no-code remediation, integrating with Databricks, Snowflake, SQL Server, Oracle, Atlan, and Alation.
THE OPPORTUNITY We're looking for a dynamic Solution Engineer to serve as the technical bridge between our innovative platform and our customers' complex data ecosystems. This role combines deep technical expertise with customer-facing responsibilities, requiring someone who thrives in both the command line and the conference room. You'll be the trusted advisor who helps enterprises successfully adopt and maximize value from the Qualytics platform. As a Solution Engineer at Qualytics, you'll work directly with customers to design, implement, and optimize data quality solutions that integrate seamlessly into their existing infrastructure. You'll develop both out-of-band monitoring solutions and in-band data pipeline integrations, ensuring our platform delivers maximum impact regardless of the customer's architectural preferences. Beyond implementation, you'll serve as a technical ambassador for Qualytics in industry events, webinars, and thought leadership initiatives. This is not a typical sales engineering role - you'll be hands-on keyboard, writing production code, architecting solutions, and solving real technical challenges alongside some of the most sophisticated data teams in the enterprise world. WHAT YOU'LL DO - 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 WHO YOU ARE - Enjoys working directly with customers and building long-term technical relationships - Collaborates extremely well with both internal teams and external stakeholders - Has strong presentation and communication skills, comfortable speaking to technical and executive audiences - Comes with a customer-first mindset and genuine passion for solving complex data challenges - Brings experience from technical services or consulting background with hands-on solution development - Has a polyglot programming approach with deep Python expertise - Takes a pragmatic approach to solution design, balancing technical excellence with practical business needs - Has strong curiosity about emerging data technologies and industry trends - Enjoys teaching and enabling others to be successful with technology REQUIREMENTS Experience: 4+ years of experience in solutions engineering, or customer-facing technical roles - Python Mastery: Advanced Python development skills with experience building production data solutions - Data Engineering: Broad experience with modern data engineering tools and practices (DBT, Airflow, etc.) - API Development: Proficiency with RESTful API design, integration, and troubleshooting - Database Systems: Hands-on experience with multiple relational datastores (PostgreSQL, MySQL, SQL Server, Oracle, etc.) - Cloud Platforms: Experience with cloud-based and hybrid data solutions across major providers (AWS, GCP, Azure) - Data Ecosystem: Familiarity with popular data tools and frameworks in the modern data stack - Customer Interaction: Proven track record of successful customer engagements and technical relationship building - Communication: Excellent written and verbal communication skills, with ability to explain complex technical concepts to diverse audiences NICE TO HAVE - Polyglot Programming: Experience with multiple programming languages (Scala, Java, Go, JavaScript, etc.) - Data Quality Tools: Previous experience with data quality, observability, or monitoring platforms - Streaming Systems: Experience with real-time data processing and streaming architectures - Container Technologies: Proficiency with Docker, Kubernetes, and container orchestration - Consulting Background: Previous experience in technical consulting or professional services - Industry Certifications: Cloud platform certifications or data engineering credentials - Open Source Contributions: Active participation in open source data engineering projects - Enterprise Experience: Experience working with large enterprise customers and complex organizational structures WHY WORK HERE? MISSION We founded Qualytics based on our collective experiences working at a number of early-stage technology companies grappling with challenges related to data quality. We realized how few products are available to help organizations maintain quality & trust in their data pipelines. We're here to change that with a platform capable of detecting and proactively responding to data anomalies before they result in ML model drift, corruption of your aggregated calculations, or other pollution of your downstream systems. We believe that data is the most valuable resource to companies, and that resource isn't useful