Senior Cloud Data Engineer​/Modern Data Stack Focus

The Enterprise BI & Analytics Team serves as the enterprise data and analytics center of excellence at

Webstaurant

Store. We transform billions of data points across marketing, supply chain, operations, and customer experience into trusted data foundations and actionable insights. Leveraging amodern cloud data platform, scalable ELT architecture, and automated

DataOpsworkflows, 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 ourmodern 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 ourdata warehouse modernization initiative, guide our transition from SQL Server to Snowflake, mentor engineers, and help define the future state of our cloud data architecture.

• Lead the design and implementation of a standardizedELT-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, anddata reliability engineering practices to ensure SLA adherence.
• Refactor andoptimizelegacy ingestion processes to align with modern data stack best practices.
• Drive and support the migration from SQL Server to Snowflake.

• Act as thelead architect for enterprise ingestion strategy, mentoring engineers and guiding technical design decisions.
• Champion best practices inCI/CD, version control, automated testing, and infrastructure-as-code principles within the data engineering function.
• Perform code reviews and enforce architectural standards.
• Partner with BI leadership to plan capacity, prioritize initiatives, and executedeliveryroadmaps.
• Foster a culture of engineering ownership, accountability, and innovation.

• Collaborate with business and analytics stakeholders to translate requirements into scalable ingestion designs.
• Evaluate emerging tools and technologies within themodern data stack ecosystem.
• Contribute to long-term cloud data strategy and architectural evolution.
• Ensure enterprise-grade governance, security, compliance, and data quality controls.