Senior Sales Engineer

Qualytics
United States
Workplace: RemoteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 4+ yearsSkills: ["Communication","Collaboration","Presentation","Customer-focus","Mentoring"]

Dynamic Solution Engineer bridging the Qualytics platform with customers’ data ecosystems. You’ll design, implement, and optimize data quality solutions, write production code, and mentor teams while engaging in workshops, webinars, and industry events. This role blends technical execution with customer-facing advocacy across hybrid/cloud environments (AWS, GCP, Azure) and enterprise data teams.

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FursaFursa
Qualytics
Qualytics
11 months ago

Senior Sales Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Dynamic Solution Engineer bridging the Qualytics platform with customers’ data ecosystems. You’ll design, implement, and optimize data quality solutions, write production code, and mentor teams while engaging in workshops, webinars, and industry events. This role blends technical execution with customer-facing advocacy across hybrid/cloud environments (AWS, GCP, Azure) and enterprise data teams.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Manager level

Key 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

Pay and Benefits

Perks:Health InsuranceDentalVisionEquityRemote Work

Key Requirements

  • •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
  • •Cloud Platforms: Experience with cloud-based and hybrid data solutions across major providers (AWS, GCP, Azure)
Experience:4+ yearsData qualityData engineeringEnterprise
Skills:CommunicationCollaborationPresentationCustomer-focusMentoring
Tech Stack:PythonRESTDBTAirflowAWSGCPAzurePostgreSQLMySQLSQL ServerOracle

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Qualytics
Provides an AI-driven enterprise platform for automated, proactive data quality and anomaly detection, enabling data teams and business users to collaborate on rules, governance, and remediation at scale for reliable, AI-ready data.
Industry: Data Infrastructure
Company Size: Small (11 to 50 employees)
Growth: Growth Stage Startup
Funding: Series A
Headquarters: Atlanta, United States
Founded: 2020
Glassdoor
Glassdoor: 5.0
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