Senior Cloud Data Engineer / Modern Data Stack Focus

Company: WebstaurantStore

Location: Lititz, PA (Remote)

Type: Full-time

Level: Senior

Remote: Yes

Posted: 2026-02-23

About this role

Job Summary
The Enterprise BI & Analytics Team serves as the enterprise data and analytics center of excellence at WebstaurantStore. We transform billions of data points across marketing, supply chain, operations, and customer experience into trusted data foundations and actionable insights. Leveraging a modern cloud data platform, scalable ELT architecture, and automated DataOps workflows, the team empowers smarter decisions, rapid growth, and new opportunities across the business.


As a Senior Cloud Data Engineer, you will architect and own the next generation of our modern data ingestion and integration ecosystem. You will lead the development of a unified ingestion framework into Snowflake—building scalable, automated, and high-throughput data pipelines that power analytics and data products enterprise-wide. You will play a key role in our data warehouse modernization initiative, guide our transition from SQL Server to Snowflake, mentor engineers, and help define the future state of our cloud data architecture.


Responsibilities
Senior Cloud Data Engineers are hands-on technical leaders and trusted partners to BI developers, analytics engineers, and cross-functional teams. You will drive innovation across our ingestion layer and enable scalable, reliable, and governed data movement throughout the enterprise.


Core Responsibilities
Modern Data Engineering & ELT Architecture

- Lead the design and implementation of a standardized ELT-based ingestion framework into Snowflake.
- Design scalable ingestion pipelines for structured and semi-structured data from APIs, databases, cloud storage, flat files, and collaboration platforms.
- Build and maintain Fabric Pipelines to support cloud-native orchestration and pipeline automation.
- Develop reusable Python libraries and ingestion accelerators to standardize engineering practices.
- Implement robust monitoring, logging, and data reliability engineering practices to ensure SLA adherence.
-...

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