Overview

As a Senior Data Engineer at AvidXchange, you’ll design and build high-performing data solutions that power analytics, reporting, and business insights across the organization. This role provides the opportunity to shape technical direction, lead delivery on critical data flows, and collaborate closely with engineering peers and business leaders to ensure scalable, reliable, and high-quality data systems.

You’ll also share operational ownership with your peers—ensuring data platform stability, resolving production issues, and supporting core platform tasks that enable the business to run efficiently. This is a hands-on role for a highly technical engineer who thrives on solving complex data challenges while maintaining operational excellence.

What You’ll Do

Design and implement scalable, cloud-native data pipelines for both batch and streaming use cases using tools such as Azure Data Factory, Databricks, Spark, and Kafka.

Build and maintain multi-dimensional data models optimized for performance, cost, and maintainability.

Integrate upstream data sources (ERP, CRM, external APIs) into core systems with strong attention to data integrity and lineage.

Optimize data flows for storage, processing, and performance using best practices within the Azure ecosystem.

Participate in a shared on-call rotation with Senior and Principal Engineers to ensure data platform reliability.

Resolve production issues, perform root cause analysis, and communicate effectively with stakeholders.

Support operational data tasks (e.g., schema changes, table updates) to maintain agility and consistency.

Contribute to process improvement and operational metrics that enhance system performance and team efficiency.

Partner with product managers, analysts, and engineers to deliver well-architected, scalable data solutions.

Provide peer mentorship and participate in code and design reviews to elevate technical standards.

Influence tooling, architecture, and design decisions that shape the long-term direction of the data platform.

Contribute to documentation, reusability practices, and knowledge sharing across teams.

What We’re Looking For

Extensive experience in data engineering or software engineering with a strong data focus.

Advanced proficiency in Python and SQL, with ability to design efficient data transformations and workflows.

Proven experience designing and implementing large-scale ETL pipelines and event-driven architectures (Kafka, Event Hub).

Deep understanding of data warehousing concepts, dimensional modeling, and modern architectures such as data lakes and lakehouses.

Hands-on experience with Azure data services (Data Factory, Databricks, Synapse, Azure Functions).

Expertise working within a major cloud platform (preferably Azure), including architecture and platform design.

Strong understanding of DevOps principles, Git-based version control, and CI/CD pipelines for data systems.

Ability to balance technical excellence with operational ownership, including prioritizing effectively during on-call rotations.

Collaborative mindset with strong communication and problem-solving skills.

About AvidXchange

AvidXchange is a leading provider of accounts payable (“AP”) automation software and payment solutions for middle-market businesses and their suppliers. By trade, we are a technology company, but if you ask anyone who works here, they’ll tell you our people are at the core of who we are. At AvidXchange, mindset is everything. We are Connected as People, Growth Minded, and Customer Obsessed. These three mindsets represent our culture – who we are, who we’ve always been, and they guide us to improve every day. Since our founding in 2000 in Charlotte, NC, we’ve created a company of over 1,300 teammates working across the U.S., or remotely. AvidXchange is proud to be Certified™ as a Great Place to Work®. The prestigious recognition is based on anonymous data from our teammates and makes official what our teammates have known for years – that AvidXchange is a Great Place to Work®.