{"schemaVersion":"jobsearcher.job.v1","id":"e79175846485692c3a71c5b9","url":"https://jobsearcher.com/jobs/e79175846485692c3a71c5b9","canonicalUrl":"https://jobsearcher.com/jobs/e79175846485692c3a71c5b9","title":"Manager, Data Engineering & Intelligence","description":"The Manager, Data Engineering & Intelligence, leads a team responsible for building and maintaining scalable data pipelines, data warehouses, and analytical platforms that empower our retail business with actionable insights. The role is critical in enabling data-driven decision making through effective data infrastructure and intelligence solutions.\nThe Manager, Data Engineering & Intelligence, combines strong technical expertise in data engineering with leadership skills and a business mindset to deliver high-quality, timely, and reliable data products across the organization.\nResponsibilities:\nLead and mentor a team of data engineers and analysts\nDesign and maintain scalable, high-performance data pipelines and warehouses\nEnsure data quality, integrity, security, and compliance throughout the data lifecycle\nCollaborate with business and analytics teams to translate requirements to solutions\nEvaluate and recommend new data technologies, platforms, and methodologies to improve efficiency\nChampion data quality, governance, and compliance standards\nCommunicate progress, challenges, and insights to senior leadership and partners\nRequired Qualifications:\n7+ years of experience in data engineering or analytics, with at least 3 years in a leadership or management role\nBachelor’s degree in computer science, data science, engineering, or related field\nExpert use of SQL/Python\nSkilled in Data Engineering tools (Airflow, dbt, Spark, Kafka)\nProficiency with BI Tools (Power BI)\nSkilled in Cloud Data Platforms (AWS, Azure, GCP)\nProficient knowledge of SOC-1, GDPR, and CCPA compliance\nPreferred Qualifications:\nMaster’s degree in computer science, data science, or business administration\nAWS Certified Data Engineer\nMicrosoft Certified: Azure Data Engineer Associate, or Google Professional Data Engineer\nStrong leadership, collaboration, and communication skills\nProven success in managing cross-functional teams\nRetail or consumer goods industry experience\nExperience with Fabric, Snowflake, Databricks, or similar modern data platforms\nFamiliarity with machine learning pipelines and analytics enablement\nStrong understanding of metadata management and data cataloging practices\nDemonstrated ability to innovate and automate within data engineering frameworks\nBehavioral Traits for Success:\nAn analytical, inquiring, and critical mind that solves complex problems with ingenuity\nDriven to produce high-quality work within established standards of quality and accuracy\nDrive, determination, and self-disciplined approach to achieving results\nCommunication style is concise, factual, and professional\nComfortable making decisions within area of expertise\nTests new ideas and concepts before releasing\nEarns trust by consistently achieving high-quality standards in a timely manner\nAble to manage multiple priorities\nWorking Environment:\nTypical office environment with climate control and sufficient lighting, ergonomic desk/chairs\nHybrid work schedule\nYour Performance Will Be Measured On:\nYour performance will be measured by your ability to achieve annual department objectives and corporate goals which include but are not limited to the following.\nDecision-making, judgment, and execution\nSystem reliability and scalability\nTeam performance\nPerformance metrics\nAccuracy\nAdherence to data policies\nProject delivery timelines\nCompliance adherence\nData integrity\nStakeholder Feedback\nEqual Opportunity Employer\nThis employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.","company":"Build-A-Bear Workshop","rawCompany":"buildabear workshop","city":"St Louis","state":"MO","isRemote":false,"isActive":false,"createdAt":"2026-04-09T15:52:12.301Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"455110","title":"Department Stores","slug":"department-stores"},{"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":"Manager, Data Engineering & Intelligence","description":"The Manager, Data Engineering & Intelligence, leads a team responsible for building and maintaining scalable data pipelines, data warehouses, and analytical platforms that empower our retail business with actionable insights. The role is critical in enabling data-driven decision making through effective data infrastructure and intelligence solutions.\nThe Manager, Data Engineering & Intelligence, combines strong technical expertise in data engineering with leadership skills and a business mindset to deliver high-quality, timely, and reliable data products across the organization.\nResponsibilities:\nLead and mentor a team of data engineers and analysts\nDesign and maintain scalable, high-performance data pipelines and warehouses\nEnsure data quality, integrity, security, and compliance throughout the data lifecycle\nCollaborate with business and analytics teams to translate requirements to solutions\nEvaluate and recommend new data technologies, platforms, and methodologies to improve efficiency\nChampion data quality, governance, and compliance standards\nCommunicate progress, challenges, and insights to senior leadership and partners\nRequired Qualifications:\n7+ years of experience in data engineering or analytics, with at least 3 years in a leadership or management role\nBachelor’s degree in computer science, data science, engineering, or related field\nExpert use of SQL/Python\nSkilled in Data Engineering tools (Airflow, dbt, Spark, Kafka)\nProficiency with BI Tools (Power BI)\nSkilled in Cloud Data Platforms (AWS, Azure, GCP)\nProficient knowledge of SOC-1, GDPR, and CCPA compliance\nPreferred Qualifications:\nMaster’s degree in computer science, data science, or business administration\nAWS Certified Data Engineer\nMicrosoft Certified: Azure Data Engineer Associate, or Google Professional Data Engineer\nStrong leadership, collaboration, and communication skills\nProven success in managing cross-functional teams\nRetail or consumer goods industry experience\nExperience with Fabric, Snowflake, Databricks, or similar modern data platforms\nFamiliarity with machine learning pipelines and analytics enablement\nStrong understanding of metadata management and data cataloging practices\nDemonstrated ability to innovate and automate within data engineering frameworks\nBehavioral Traits for Success:\nAn analytical, inquiring, and critical mind that solves complex problems with ingenuity\nDriven to produce high-quality work within established standards of quality and accuracy\nDrive, determination, and self-disciplined approach to achieving results\nCommunication style is concise, factual, and professional\nComfortable making decisions within area of expertise\nTests new ideas and concepts before releasing\nEarns trust by consistently achieving high-quality standards in a timely manner\nAble to manage multiple priorities\nWorking Environment:\nTypical office environment with climate control and sufficient lighting, ergonomic desk/chairs\nHybrid work schedule\nYour Performance Will Be Measured On:\nYour performance will be measured by your ability to achieve annual department objectives and corporate goals which include but are not limited to the following.\nDecision-making, judgment, and execution\nSystem reliability and scalability\nTeam performance\nPerformance metrics\nAccuracy\nAdherence to data policies\nProject delivery timelines\nCompliance adherence\nData integrity\nStakeholder Feedback\nEqual Opportunity Employer\nThis employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.","datePosted":"2026-04-09T15:52:12.301Z","dateModified":"2026-04-09T15:52:12.301Z","hiringOrganization":{"@type":"Organization","name":"Build-A-Bear Workshop","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"St Louis","addressRegion":"MO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"e79175846485692c3a71c5b9"},"url":"https://jobsearcher.com/jobs/e79175846485692c3a71c5b9"}}