{"schemaVersion":"jobsearcher.job.v1","id":"6b2614bd9fdbed85e62f35c1","url":"https://jobsearcher.com/jobs/6b2614bd9fdbed85e62f35c1","canonicalUrl":"https://jobsearcher.com/jobs/6b2614bd9fdbed85e62f35c1","title":"Lead Software Engineer – Data Implementation","description":"Lead Software Engineer – Data Implementation\nReports to: Software Engineering Team Lead\nPosition Summary\nThe Lead Software Engineer – Data Implementation is a senior engineer who turns customer\nrequirements into working configuration on the ITS platform. Working from specifications, this\nrole implements the data and code changes that tailor the system to each customer’s training\nand qualification-management needs — both onboarding new customers and adapting the\nplatform as the programs of existing customers evolve. This role also owns the investigation and\nresolution of data integrity issues, applying disciplined root cause analysis to every case. This is\na senior position with a clear growth path: the work begins focused and concrete and broadens\nover time into wider technical scope, project estimation, and the mentorship of other engineers.\nAI-assisted development is central to how the work gets done, and this role is expected to lead\nthe way in adopting and advancing it.\nCore Competencies\nData Implementation – Translating customer requirements into reliable, well-tested changes\non the platform\nData Integrity & Problem Solving – Investigating and resolving issues through rigorous root\ncause analysis\nTechnical Range & Growth – Building broader platform knowledge over time, including full-\nstack work as capacity allows\nAI-Assisted Development – Championing modern AI tooling and raising the team’s\nconfidence and capability with it\nMentorship – Growing into a trusted technical resource and mentor for other engineers\nCommunication – Explaining technical work clearly to both technical and non-technical\naudiences\nContinuous Improvement – Turning data patterns and defect trends into upstream quality\ngains\nKey Responsibilities\nImplementation & Delivery\nTranslate customer specifications into accurate data and code changes on the platform,\nprimarily using SQL Server scripts on the Classic platform and PostgreSQL scripts and\nAPI integrations on the new platform\nWrite, test, and execute changes, partnering with QA to verify results before they reach\ncustomers\n\nOwn the investigation and resolution of data integrity issues, identifying root causes\nrather than treating symptoms\nDocument implementation decisions and known risks so the work remains traceable and\nmaintainable\nDrive continuous improvement in data load reliability, retrieval performance, and\nimplementation consistency across the platform\nGrowth & Technical Range\nBuild deep domain knowledge by working alongside experienced engineers, with an\naptitude for picking up new areas quickly\nStay effective as the database platform evolves over time\nContribute to the existing platform when data implementation work allows, building full-\nstack experience across ASP.NET, React, and Next.js over time\nContribute to estimating the effort and timeline of customer requests as the role matures\nGrow into a technical anchor and mentor as depth and domain knowledge increase\nAI Leadership\nUse AI-assisted development tools daily as a core part of the workflow\nContribute to and refine the team’s internal AI tooling to make the work more automated\nand consistent\nChampion broader AI adoption, helping other engineers use these tools with greater\nconfidence and judgment\nCollaboration & Communication\nCommunicate status, data risks, and timelines clearly to stakeholders\nPartner with QA, Product, and Client Services to validate implementations and ensure\ncustomer-facing behavior meets expectations\nShare findings and improvement recommendations with engineering leadership\nEducation & Experience\nBachelor’s degree in Computer Science, Information Systems, or a related field (or\nequivalent experience)\n6+ years of progressive software engineering experience, with meaningful depth in data\nengineering, database systems, or backend development\nAt least 2 years in a senior or lead technical role, with demonstrated ownership of complex\ndata implementation or integration work\nStrong command of relational database concepts: schema design, query optimization, data\nmigration patterns, and retrieval troubleshooting\n\nExperience diagnosing and resolving data integrity issues at the database–application layer\nboundary\nDemonstrated experience using AI coding tools (Claude Code, GitHub Copilot, or similar) in\nprofessional work, with a track record of sharing that practice with others\nExperience mentoring or developing other engineers, whether formally or informally\nAbility to write technical documentation that is precise, complete, and accessible to both\ntechnical and non-technical audiences\nTrack record of improving team processes or implementation quality—not just executing\nwithin them\nStrong communication skills; able to explain a complex data problem and its resolution to a\nnon-engineer without losing accuracy\nGenuine enthusiasm for AI/ML tooling and a pattern of early, practical adoption\nSuccess Indicators\nData implementation work is delivered reliably, on schedule, and with documentation that\nsupports long-term maintainability\nData integrity issues are resolved thoroughly and with root cause findings that reduce\nrecurrence over time\nEngineers across the team demonstrate improved capability in data implementation and\ndatabase troubleshooting as a direct result of mentorship\nAI tooling adoption increases team-wide, with engineers citing this role’s influence on their\npractice\nStakeholders consistently report confidence in data implementation quality, status\ncommunication, and resolution outcomes\nEngineers mentored by this role grow in capability and express increased confidence\nhandling complex data problems independently\nThis role is recognized by peers and leadership as the technical anchor for data\nimplementation across the engineering organization","company":"Industrialtrainingservices","rawCompany":"industrialtrainingservices","city":"Murray","state":"KY","isRemote":false,"isActive":false,"createdAt":"2026-07-27T13:25:03.092Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"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"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Lead Software Engineer – Data Implementation","description":"Lead Software Engineer – Data Implementation\nReports to: Software Engineering Team Lead\nPosition Summary\nThe Lead Software Engineer – Data Implementation is a senior engineer who turns customer\nrequirements into working configuration on the ITS platform. Working from specifications, this\nrole implements the data and code changes that tailor the system to each customer’s training\nand qualification-management needs — both onboarding new customers and adapting the\nplatform as the programs of existing customers evolve. This role also owns the investigation and\nresolution of data integrity issues, applying disciplined root cause analysis to every case. This is\na senior position with a clear growth path: the work begins focused and concrete and broadens\nover time into wider technical scope, project estimation, and the mentorship of other engineers.\nAI-assisted development is central to how the work gets done, and this role is expected to lead\nthe way in adopting and advancing it.\nCore Competencies\nData Implementation – Translating customer requirements into reliable, well-tested changes\non the platform\nData Integrity & Problem Solving – Investigating and resolving issues through rigorous root\ncause analysis\nTechnical Range & Growth – Building broader platform knowledge over time, including full-\nstack work as capacity allows\nAI-Assisted Development – Championing modern AI tooling and raising the team’s\nconfidence and capability with it\nMentorship – Growing into a trusted technical resource and mentor for other engineers\nCommunication – Explaining technical work clearly to both technical and non-technical\naudiences\nContinuous Improvement – Turning data patterns and defect trends into upstream quality\ngains\nKey Responsibilities\nImplementation & Delivery\nTranslate customer specifications into accurate data and code changes on the platform,\nprimarily using SQL Server scripts on the Classic platform and PostgreSQL scripts and\nAPI integrations on the new platform\nWrite, test, and execute changes, partnering with QA to verify results before they reach\ncustomers\n\nOwn the investigation and resolution of data integrity issues, identifying root causes\nrather than treating symptoms\nDocument implementation decisions and known risks so the work remains traceable and\nmaintainable\nDrive continuous improvement in data load reliability, retrieval performance, and\nimplementation consistency across the platform\nGrowth & Technical Range\nBuild deep domain knowledge by working alongside experienced engineers, with an\naptitude for picking up new areas quickly\nStay effective as the database platform evolves over time\nContribute to the existing platform when data implementation work allows, building full-\nstack experience across ASP.NET, React, and Next.js over time\nContribute to estimating the effort and timeline of customer requests as the role matures\nGrow into a technical anchor and mentor as depth and domain knowledge increase\nAI Leadership\nUse AI-assisted development tools daily as a core part of the workflow\nContribute to and refine the team’s internal AI tooling to make the work more automated\nand consistent\nChampion broader AI adoption, helping other engineers use these tools with greater\nconfidence and judgment\nCollaboration & Communication\nCommunicate status, data risks, and timelines clearly to stakeholders\nPartner with QA, Product, and Client Services to validate implementations and ensure\ncustomer-facing behavior meets expectations\nShare findings and improvement recommendations with engineering leadership\nEducation & Experience\nBachelor’s degree in Computer Science, Information Systems, or a related field (or\nequivalent experience)\n6+ years of progressive software engineering experience, with meaningful depth in data\nengineering, database systems, or backend development\nAt least 2 years in a senior or lead technical role, with demonstrated ownership of complex\ndata implementation or integration work\nStrong command of relational database concepts: schema design, query optimization, data\nmigration patterns, and retrieval troubleshooting\n\nExperience diagnosing and resolving data integrity issues at the database–application layer\nboundary\nDemonstrated experience using AI coding tools (Claude Code, GitHub Copilot, or similar) in\nprofessional work, with a track record of sharing that practice with others\nExperience mentoring or developing other engineers, whether formally or informally\nAbility to write technical documentation that is precise, complete, and accessible to both\ntechnical and non-technical audiences\nTrack record of improving team processes or implementation quality—not just executing\nwithin them\nStrong communication skills; able to explain a complex data problem and its resolution to a\nnon-engineer without losing accuracy\nGenuine enthusiasm for AI/ML tooling and a pattern of early, practical adoption\nSuccess Indicators\nData implementation work is delivered reliably, on schedule, and with documentation that\nsupports long-term maintainability\nData integrity issues are resolved thoroughly and with root cause findings that reduce\nrecurrence over time\nEngineers across the team demonstrate improved capability in data implementation and\ndatabase troubleshooting as a direct result of mentorship\nAI tooling adoption increases team-wide, with engineers citing this role’s influence on their\npractice\nStakeholders consistently report confidence in data implementation quality, status\ncommunication, and resolution outcomes\nEngineers mentored by this role grow in capability and express increased confidence\nhandling complex data problems independently\nThis role is recognized by peers and leadership as the technical anchor for data\nimplementation across the engineering organization","datePosted":"2026-07-27T13:25:03.092Z","dateModified":"2026-07-27T13:25:03.092Z","hiringOrganization":{"@type":"Organization","name":"Industrialtrainingservices","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Murray","addressRegion":"KY","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"6b2614bd9fdbed85e62f35c1"},"url":"https://jobsearcher.com/jobs/6b2614bd9fdbed85e62f35c1"}}