Versapay

Versapay

Senior Data Engineer

Canada (Remote) · Senior

Sponsorship not specifiedCAD 130k-CAD 160kDetected 33 days ago
PythonFull-Stack DevelopmentSQLSnowflakeAWSDatadogMachine LearningData AnalysisData EngineeringMLOpsPipeline ManagementAR/VRCommunicationCollaborationAccounts Payable

About the role

  • About Versapay 🚀 Versapay turns accounts receivable (AR) into a competitive advantage.
  • Inefficient AR processes slow cash flow and stall growth.
  • Versapay automates accounts receivable, removing barriers to collecting and reconciling B2B payments.

Responsibilities

  • Architect for the Future: Optimize our existing Snowflake architecture, establishing strict environmental isolation and scalable structures that prepare our data for eventual downstream commercialization and product offerings.
  • Drive Agentic Engineering: Leverage tools like Snowflake Cortex, Cursor, and UiPath to automate workflows, build semantic models, and deploy agents that accelerate time-to-value.
  • Establish Data Observability: Implement and manage robust data quality and observability frameworks to ensure pipeline reliability and proactive issue resolution.
  • Model for Enterprise Utility: Synthesize disparate operational entities into a unified, enterprise-wide semantic model that supports both internal analytics and future data monetization efforts.
  • Design and maintain MLOps pipelines to support the seamless rollout, monitoring, and lifecycle management of ML models directly within Snowflake.
  • Hands-on experience implementing data observability and monitoring platforms (such as DataDog) to manage data quality at scale.
  • Maintain high standards for verbal and written communication while seamlessly sharing domain responsibilities across the engineering pod.

Requirements

  • 5+ years of Data Engineering experience with a deep, specialized focus on Snowflake's advanced features (e.g., RBAC, materialized views, dynamic tables, Snowpipe, stored procedures).
  • Advanced proficiency in SQL and Python, with a strong foundation in applying software engineering best practices to ELT processes.
  • Technical Competency: Advanced SQL skills, proficiency with Python/R, and experience with BI tools.
  • "Builder" Mentality: An ability to thrive in fast-paced environments with a track record of defining and executing high-impact initiatives.
  • Business Acumen: Strong business acumen with a proven ability to translate complex data analysis into strategic recommendations.
  • Trusted Advisor: Possesses a high degree of integrity, the relentless pursuit of truth, and an ability to inspire change, particularly in championing data quality and observability standards.
  • Deep domain expertise navigating complex merchant payment ecosystems (e.g., Adyen), operating under rigorous enterprise data governance and security standards.
  • Proven ability to architect the translation of high-velocity transactional events into highly optimized, columnar analytical architectures.
  • An ability to thrive in fast-paced environments with a track record of defining and executing high-impact initiatives.
  • Strong business acumen with a proven ability to translate complex data analysis into strategic recommendations.
  • Observability Expertise: Hands-on experience implementing data observability and monitoring platforms (such as DataDog) to manage data quality at scale.
  • AI & MLOps Exposure: Demonstrated experience using AI-assisted development tools (e.g., Cursor, Cortex) and familiarity with MLOps principles for productionalizing machine learning models.
  • Pipeline Management: Experience building and maintaining resilient, low-touch data pipelines using modern integration and orchestration tools (e.g., Fivetran, AWS Glue, AWS Lambda).
  • What You'll Bring To The Team:
  • Technical Competency: Advanced SQL skills, proficiency with Python/R, and experience with BI tools. Focus on self-sufficiency and leveraging AI tools to accelerate development.
  • "Builder" Mentality: An ability to thrive in fast-paced environments with a track record of defining and executing high-impact initiatives. A desire to solve complex problems, remediate technical debt, and find creative solutions for scaling our platform.
  • Business Acumen: Strong business acumen with a proven ability to translate complex data analysis into strategic recommendations. Adept at identifying key drivers and influencing decision-making. You understand the business behind the data and the path to commercialization.
  • Empathetic Collaboration: Assertive with humility - able to communicate both persuasively and positively. Maintain high standards for verbal and written communication while seamlessly sharing domain responsibilities across the engineering pod.
  • What Will Make You Stand Out:

Compensation

  • About Versapay 🚀 Versapay turns accounts receivable (AR) into a competitive advantage.
  • Inefficient AR processes slow cash flow and stall growth.
  • Versapay removes friction, unlocks working capital, and accelerates momentum - giving finance leaders the clarity and control they need to drive business forward.
  • Versapay automates accounts receivable, removing barriers to collecting and reconciling B2B payments.
  • Our solutions connect finance teams, customers, and business systems in one ecosystem to ensure cash flow clarity.
  • With over 10,000 customers and 5M+ companies transacting on the platform, Versapay processes over 110M transactions and $257B annually.

Benefits

  • Operationalize Machine Learning: Design and maintain MLOps pipelines to support the seamless rollout, monitoring, and lifecycle management of ML models directly within Snowflake.
  • As a Senior Data Engineer, you will be pivotal in optimizing and scaling our foundational Snowflake architecture while aggressively pushing toward agentic engineering and machine learning operations.
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This listing is sourced directly from Versapay's careers page and normalized into a canonical job model.