{"schemaVersion":"jobsearcher.job.v1","id":"ec20c19e86e277459d9943e3","url":"https://jobsearcher.com/jobs/ec20c19e86e277459d9943e3","canonicalUrl":"https://jobsearcher.com/jobs/ec20c19e86e277459d9943e3","title":"Senior Cloud Data Engineer / Modern Data Stack Focus","description":"Job SummaryThe Enterprise BI & Analytics Team serves as theenterprise data and analytics center of excellenceatWebstaurantStore. 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 automatedDataOpsworkflows, the team empowers smarter decisions, rapid growth, and new opportunities across the business.\r\nAs 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.\r\nResponsibilitiesSenior Cloud Data Engineers arehands‑on technical leadersand trusted partnerstoBI developers, analytics engineers, and cross-functional teams. You will drive innovation across our ingeston layer and enable scalable, reliable, and governed data movement throughout the enterprise.\r\nCore Responsibilities\r\nModern Data Engineering & ELT Architecture\r\nLead the design and implementation of a standardizedELT-based ingestion frameworkinto Snowflake.\r\nDesign scalable ingestion pipelines for structured and semi-structured data from APIs, databases, cloud storage, flat files, and collaboration platforms.\r\nBuild andmaintainFabric Pipelines to supportcloud-native orchestration and pipeline automation.\r\nDevelop reusable Python libraries and ingestion accelerators to standardize engineering practices.\r\nImplement robust monitoring, logging, anddata reliability engineering practicesto ensure SLA adherence.\r\nRefactor andoptimizelegacy ingestion processes to align with modern data stack best practices.\r\nDrive and support the migration from SQL Server to Snowflake.\r\nTechnical Leadership\r\nAct as thelead architect for enterprise ingestion strategy, mentoring engineers and guiding technical design decisions.\r\nChampion best practices inCI/CD, version control, automated testing, and infrastructure-as-code principleswithin the data engineering function.\r\nPerform code reviews and enforce architectural standards.\r\nPartner with BI leadership to plan capacity, prioritize initiatives, and executedeliveryroadmaps.\r\nFoster a culture of engineering ownership, accountability, and innovation.\r\nStrategy & Execution\r\nCollaborate with business and analytics stakeholders to translate requirements into scalable ingestion designs.\r\nEvaluate emerging tools and technologies within themodern data stack ecosystem.\r\nContribute to long-term cloud data strategy and architectural evolution.\r\nEnsure enterprise-grade governance, security, compliance, and data quality controls.#J-18808-Ljbffr","company":"JobLeads","rawCompany":"jobleadsus","city":"Lititz","state":"PA","isRemote":false,"isActive":false,"createdAt":"2026-10-12T01:16:43.154Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Cloud Data Engineer / Modern Data Stack Focus","description":"Job SummaryThe Enterprise BI & Analytics Team serves as theenterprise data and analytics center of excellenceatWebstaurantStore. 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 automatedDataOpsworkflows, the team empowers smarter decisions, rapid growth, and new opportunities across the business.\r\nAs 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.\r\nResponsibilitiesSenior Cloud Data Engineers arehands‑on technical leadersand trusted partnerstoBI developers, analytics engineers, and cross-functional teams. You will drive innovation across our ingeston layer and enable scalable, reliable, and governed data movement throughout the enterprise.\r\nCore Responsibilities\r\nModern Data Engineering & ELT Architecture\r\nLead the design and implementation of a standardizedELT-based ingestion frameworkinto Snowflake.\r\nDesign scalable ingestion pipelines for structured and semi-structured data from APIs, databases, cloud storage, flat files, and collaboration platforms.\r\nBuild andmaintainFabric Pipelines to supportcloud-native orchestration and pipeline automation.\r\nDevelop reusable Python libraries and ingestion accelerators to standardize engineering practices.\r\nImplement robust monitoring, logging, anddata reliability engineering practicesto ensure SLA adherence.\r\nRefactor andoptimizelegacy ingestion processes to align with modern data stack best practices.\r\nDrive and support the migration from SQL Server to Snowflake.\r\nTechnical Leadership\r\nAct as thelead architect for enterprise ingestion strategy, mentoring engineers and guiding technical design decisions.\r\nChampion best practices inCI/CD, version control, automated testing, and infrastructure-as-code principleswithin the data engineering function.\r\nPerform code reviews and enforce architectural standards.\r\nPartner with BI leadership to plan capacity, prioritize initiatives, and executedeliveryroadmaps.\r\nFoster a culture of engineering ownership, accountability, and innovation.\r\nStrategy & Execution\r\nCollaborate with business and analytics stakeholders to translate requirements into scalable ingestion designs.\r\nEvaluate emerging tools and technologies within themodern data stack ecosystem.\r\nContribute to long-term cloud data strategy and architectural evolution.\r\nEnsure enterprise-grade governance, security, compliance, and data quality controls.#J-18808-Ljbffr","datePosted":"2026-10-12T01:16:43.154Z","dateModified":"2026-10-12T01:16:43.154Z","hiringOrganization":{"@type":"Organization","name":"JobLeads","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Lititz","addressRegion":"PA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"ec20c19e86e277459d9943e3"},"url":"https://jobsearcher.com/jobs/ec20c19e86e277459d9943e3"}}