Senior Sales Engineer
Q
QualyticsData Engineering
United StatesFull-TimeMiddle
Salary not disclosed
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Job Details
- Languages
- English
- Experience
- 4+ years
- Required Skills
- AWSDockerPostgreSQLPythonGCPKubernetesAirflowAPI testingAzureData engineeringRESTful APIsTerraformCommunication Skills
Requirements
- 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
Responsibilities
- 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
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