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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. Manager Data Engineering - **Company:** Cracker Barrel Old Country Store, Inc. - **Location:** Lebanon, TN, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Agile Methodology, Amazon Web Services, Data Analysis, Microsoft Azure, Business Systems, Cloud Computing, Data Architecture, Information Engineering, Extract Transform Load (ETL), Data Warehousing, IT Management, Performance Tuning, Scrum Methodology, Snowflake, Information Technology, Data Management, Dataiku, Data Pipelines, Alteryx, Databricks - **Published:** July 3, 2026 - **Apply:** https://dejobs.org/x/x/D03AF9F1EAD5465E8E7901FBF8DD310B/job/ ## About the Role * Bachelor's Degree in Computer Science, Engineering or a related field; Master's preferred and/or equivalent work experience * Six or more years of experience leading data engineering teams, with demonstrated ownership of architecture, delivery planning, and technical decision-making in modern cloud data platforms Knowledge and Skills * Expertise in data modeling, ETL/ELT processes, and data warehousing technologies with experience operating in Snowflake * Demonstrated Management/Leadership skill that can inspire and motivate * Excellent communication for technical and non-technical team members * Solid technology knowledge leveraging cloud-based solutions, with continued desire to learn * IT project management techniques and methodologies with proven ability to plan, prioritize, deliver work using Agile framework * IT project management techniques and methodologies * Experience with tools such as: Azure/AWS, Snowflake, Data Stage/Informatica, Alteryx/Dataiku/Databricks or similar platforms * Restaurant or Retail industry experience is a plus ## Description * Lead a team of data engineers in developing and maintaining robust data pipelines and infrastructure. * Drive the evolution of our data architecture to support scalability, reliability, and performance with a Snowflake-first mindset, including data modeling standards, ELT patterns, warehouse strategy, security, performance optimization, and cost governance. * Remain technically hands-on as needed by designing solutions, reviewing code, modeling data, and guiding implementation decisions to ensure quality and consistency across the platform. * Promote and enable a culture of self-service analytics through thoughtful data architecture design and tool enablement. * Champion best practices in data engineering, continuously seeking opportunities to optimize processes and workflows and move the team from ad hoc pipelines toward reusable, scalable, and configuration-driven patterns. * Team Leadership & Planning * Direct the daily operations of the department, including analyzing and delegating work, establishing priorities, developing and monitoring adherence to standards, and guiding deadlines. * Own team-level planning, including backlog grooming, sprint planning, capacity management, and sequencing of work across initiatives. * Translate strategic initiatives and architectural goals into executable roadmaps and sprint-level plans. * Mentor team members, providing guidance and support to help them grow both technically and professionally. * Balance delivery of near-term business needs with longer-term architectural investments. * Cross-Functional Partnership * Collaborate with Analytics and cross-functional teams to understand business requirements and translate them into durable technical solutions. * Collaborate with DBAs in designing Snowflake environment, including roles and permissions, warehouse sizing, and credit monitoring. * Partners with IT leadership to understand new technology considerations, timelines, and how the data can play a role in improved analytics and business understanding. * Operational Excellence * Creates and maintains documentation that supports current and future state of business systems and promotes transparency across pipelines and platforms. * Help maintain the department budget, ensuring fiscally responsible use of company resources with explicit awareness of Snowflake cost drivers. * Stay current with industry trends and technologies, evaluating and implementing new tools and techniques where they provide clear value. ## Related Videos - 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