{"schemaVersion":"jobsearcher.job.v1","id":"434dccbd38520d880af97399","url":"https://jobsearcher.com/jobs/434dccbd38520d880af97399","canonicalUrl":"https://jobsearcher.com/jobs/434dccbd38520d880af97399","title":"Lead Data Engineer","description":"About Logicbroker, Inc.\nLogicbroker is the Agentic Commerce Orchestration Engine helping enterprise retailers, brands, suppliers, and distributors connect and grow. Our Intelligent Commerce Network powers over $10B in GMV for global leaders like Samsung, Walgreens, and Home Depot by automating the entire process from discovery to doorstep and stock to dock. We make products discoverable, shoppable, fulfillable, and returnable so our clients can grow faster, delight customers, and run smarter operations.\n\nJob Summary\nWe are hiring a Lead Data Engineer to drive delivery across our analytics and data platform initiatives. This role is a hands-on technical lead responsible for translating well-defined engineering specifications into executable work, coordinating a small team of contractors, and ensuring consistent, high-quality progress. You will partner closely with an Engineering Manager who owns architectural direction and high-level specifications. Your focus will be execution leadership: refining specifications into agile workloads, assigning work intelligently, contributing directly to complex implementations, and clearly communicating progress, risks, and clarity needs.\nWhat You'll Do:\nLead a small delivery team and act as a player-coach by owning the most complex data transformations and modeling work, while reviewing and guiding contractor contributions.\nKeep work unblocked, well-scoped, and on track to ensure consistent delivery of momentum.\nContinue building and refining analytics foundations driven by Gold-layer data models.\nDesign and implement Medallion architecture transformations (Bronze Silver Gold).\nEnsure Gold-layer outputs are well-modeled, performant, and consistently consumable by an external analytics engine.\nImprove the reliability, clarity, and maintainability of existing pipelines.\nPartner with the Engineering Manager to execute an approved Data Warehouse Unification Plan RFC.\nPlan and deliver sprint-based execution, with execution as the primary focus given the RFC is already defined.\nWork across multiple Databricks instances as part of a GDPR-first data strategy.\nSurface execution risks, sequencing concerns, and dependencies early to support successful delivery.\nTranslate engineering specifications into clear, scoped tickets, logical sprint plans, and well-sequenced workstreams.\nAssign work appropriately across contractors based on skill level and complexity.\nImplement complex Spark and Databricks transformations directly as needed.\nReview pull requests and uphold quality standards across all delivered work.\nCommunicate progress, blockers, and clarity needs clearly and proactively with stakeholders.\nMaintain delivery momentum without unnecessary process overhead.\nWhat We Need:\nStrong hands-on experience with Databricks, PySpark, and Spark SQL\nProven experience implementing Medallion architecture\nSolid data modeling skills, especially for analytics and reporting use cases\nExperience leading delivery for small engineering teams (formal management not required)\nComfort working with partially defined requirements and refining them collaboratively\nClear written and verbal communication skills in a remote environment\nNice to Have:\nExperience supporting GDPR-compliant data strategies\nExposure to multi-region or multi-tenant data platforms\nFamiliarity with external analytics tools consuming warehouse data\nFamiliarity with various data flows, with sources in Azure, AWS, GCP, and others\nWhy Logicbroker:\nMission-Driven Culture: Be part of a company transforming digital commerce through innovation and agility—your work directly shapes how global brands connect with customers.\nCollaborative, No-Ego Environment: We believe the best ideas win, not the loudest voices. You’ll work alongside teammates who challenge and support each other.\nHybrid Flexibility with High-Performance Energy: Whether remote or in-office, we foster autonomy and accountability—because we trust you to own your success.\nLeadership That Listens: Our executives are not just accessible—they’re invested in your growth, open to your ideas, and committed to building a company where people thrive.\nCelebrated Wins, Shared Learnings: From team offsites to Slack shoutouts, we celebrate progress and learn from setbacks together","company":"Logicbroker","rawCompany":"logicbroker","city":"Remote","state":"OR","isRemote":false,"isActive":false,"createdAt":"2026-08-05T15:44:34.119Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Lead Data Engineer","description":"About Logicbroker, Inc.\nLogicbroker is the Agentic Commerce Orchestration Engine helping enterprise retailers, brands, suppliers, and distributors connect and grow. Our Intelligent Commerce Network powers over $10B in GMV for global leaders like Samsung, Walgreens, and Home Depot by automating the entire process from discovery to doorstep and stock to dock. We make products discoverable, shoppable, fulfillable, and returnable so our clients can grow faster, delight customers, and run smarter operations.\n\nJob Summary\nWe are hiring a Lead Data Engineer to drive delivery across our analytics and data platform initiatives. This role is a hands-on technical lead responsible for translating well-defined engineering specifications into executable work, coordinating a small team of contractors, and ensuring consistent, high-quality progress. You will partner closely with an Engineering Manager who owns architectural direction and high-level specifications. Your focus will be execution leadership: refining specifications into agile workloads, assigning work intelligently, contributing directly to complex implementations, and clearly communicating progress, risks, and clarity needs.\nWhat You'll Do:\nLead a small delivery team and act as a player-coach by owning the most complex data transformations and modeling work, while reviewing and guiding contractor contributions.\nKeep work unblocked, well-scoped, and on track to ensure consistent delivery of momentum.\nContinue building and refining analytics foundations driven by Gold-layer data models.\nDesign and implement Medallion architecture transformations (Bronze Silver Gold).\nEnsure Gold-layer outputs are well-modeled, performant, and consistently consumable by an external analytics engine.\nImprove the reliability, clarity, and maintainability of existing pipelines.\nPartner with the Engineering Manager to execute an approved Data Warehouse Unification Plan RFC.\nPlan and deliver sprint-based execution, with execution as the primary focus given the RFC is already defined.\nWork across multiple Databricks instances as part of a GDPR-first data strategy.\nSurface execution risks, sequencing concerns, and dependencies early to support successful delivery.\nTranslate engineering specifications into clear, scoped tickets, logical sprint plans, and well-sequenced workstreams.\nAssign work appropriately across contractors based on skill level and complexity.\nImplement complex Spark and Databricks transformations directly as needed.\nReview pull requests and uphold quality standards across all delivered work.\nCommunicate progress, blockers, and clarity needs clearly and proactively with stakeholders.\nMaintain delivery momentum without unnecessary process overhead.\nWhat We Need:\nStrong hands-on experience with Databricks, PySpark, and Spark SQL\nProven experience implementing Medallion architecture\nSolid data modeling skills, especially for analytics and reporting use cases\nExperience leading delivery for small engineering teams (formal management not required)\nComfort working with partially defined requirements and refining them collaboratively\nClear written and verbal communication skills in a remote environment\nNice to Have:\nExperience supporting GDPR-compliant data strategies\nExposure to multi-region or multi-tenant data platforms\nFamiliarity with external analytics tools consuming warehouse data\nFamiliarity with various data flows, with sources in Azure, AWS, GCP, and others\nWhy Logicbroker:\nMission-Driven Culture: Be part of a company transforming digital commerce through innovation and agility—your work directly shapes how global brands connect with customers.\nCollaborative, No-Ego Environment: We believe the best ideas win, not the loudest voices. You’ll work alongside teammates who challenge and support each other.\nHybrid Flexibility with High-Performance Energy: Whether remote or in-office, we foster autonomy and accountability—because we trust you to own your success.\nLeadership That Listens: Our executives are not just accessible—they’re invested in your growth, open to your ideas, and committed to building a company where people thrive.\nCelebrated Wins, Shared Learnings: From team offsites to Slack shoutouts, we celebrate progress and learn from setbacks together","datePosted":"2026-08-05T15:44:34.119Z","dateModified":"2026-08-05T15:44:34.119Z","hiringOrganization":{"@type":"Organization","name":"Logicbroker","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote","addressRegion":"OR","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"434dccbd38520d880af97399"},"url":"https://jobsearcher.com/jobs/434dccbd38520d880af97399"}}