{"schemaVersion":"jobsearcher.job.v1","id":"9784b0723b61cdd2de8a1c4b","url":"https://jobsearcher.com/jobs/9784b0723b61cdd2de8a1c4b","canonicalUrl":"https://jobsearcher.com/jobs/9784b0723b61cdd2de8a1c4b","title":"Lead Data Engineer","description":"Company Overview\nWhat makes Harbor unique is our commitment to only partnering with the very best asset managers globally. This focus allows us to act in the best interests of our shareholders every day, and help them achieve their investment goals through active, cost-aware investing. This approach has served us well, becoming one of the largest and most highly regarded managers in the industry. We take a similar approach with the people we hire, seeking the very best individuals that share our passion for putting shareholders first, and we are currently looking to grow our firm with talented, intellectually diverse people with excellent work ethics. If you are passionate about putting shareholders first and enjoy the unique nature of working with the very best asset managers in the world, please visit us at harborcapital.com/careers, search for this position and click on \"Apply\" to start your application!\nRole Description\nWe are seeking a Lead Data Engineer to drive the design, architecture, and delivery of scalable data platforms, AI-powered data products, and enterprise-grade data services. This role goes beyond hands-on engineering to include technical leadership, architectural decision-making, and cross-functional influence across the organization.\nYou will lead the development of end-to-end data ecosystems—including data pipelines, storage, APIs, and AI-enabled services—leveraging modern cloud infrastructure and emerging AI/LLM capabilities. You will play a critical role in shaping how data is transformed into actionable insights and production-grade tools that directly support investment decisions and client outcomes.\nIn addition to building, you will mentor engineers, set technical standards, and guide the evolution of our data platform, ensuring scalability, reliability, and alignment with long-term business strategy.\nYou will partner closely with teams across Multi-Asset Solutions, Investment Research, Investment Products, Accounting, Marketing, and Distribution to translate complex business needs into robust, high-impact data solutions.\nWhy would you want to work on our team?\nYou will operate at the intersection of data engineering, AI innovation, and investment decision-making, with a high degree of ownership and visibility. This is a role where you will:\nInfluence technical direction and architecture of a growing data platform\nBuild AI-powered data products used directly by investors and business leaders\nWork in a lean, high-impact team with minimal bureaucracy\nHave a clear line of sight between your work and real business outcomes\nHelp define best practices in a modern, cloud-native, AI-enabled environment\nWho will thrive in this role?\nThis role is ideal for engineers who:\nThink beyond implementation and design systems and platforms\nEnjoy mentoring others and leading technical discussions\nBalance hands-on coding with strategic thinking\nAre comfortable navigating ambiguity and shaping solutions from early-stage ideas\nTake ownership not just of features, but of systems, standards, and outcomes\nKey Responsibilities\nLead the architecture, design, and implementation of scalable data platforms and AI-enabled data products\nDefine and enforce data engineering standards, best practices, and design patterns\nOwn the end-to-end lifecycle of data pipelines, data services, and APIs from concept through production\nDrive adoption of AI/LLM capabilities within data workflows and products\nPartner with business stakeholders to translate complex requirements into technical solutions\nMentor and guide engineers, providing technical leadership and code reviews\nImprove system reliability, observability, and performance across the data stack\nLead technical decision-making on tools, frameworks, and architecture\nEnsure data governance, security, and compliance standards are embedded into systems\nCollaborate across teams and contribute across the stack when needed\nKey Behavioral Expectations\nApplies emerging AI/LLM capabilities pragmatically, with curiosity and good judgment\nComfortable with discovery work: prototype, test, iterate, and validate before scaling\nAdapts quickly as requirements and technical approaches evolve\nOwns delivery end-to-end, driving work through production and refinement\nCommunicates openly, contributes to design discussions, and challenges assumptions constructively\nCollaborates across teams and works across the stack when needed\nTechnical Knowledge, Skills & Abilities\nCore Requirements:\nDeep expertise in data engineering fundamentals (Python, SQL) with production experience\nProven experience designing scalable, reliable data architectures and pipelines\nStrong experience with AWS cloud ecosystem (infrastructure, CI/CD, observability)\nHands-on experience with AI-enabled applications and data pipelines\nStrong experience with Snowflake (including Cortex AI) or similar platforms\nExpertise in DevOps, containerization (Docker), and CI/CD pipelines\nStrong knowledge of database systems (Postgres, Aurora, or similar)\nExperience with Infrastructure as Code (CloudFormation, Pulumi; Terraform a plus)\nExperience integrating and leveraging LLM developer tools (Claude Code, Copilot, etc.)\nNice to Have:\nExperience leading or mentoring engineering teams\nExperience in financial services or regulated environments\nKnowledge of data governance, lineage, and security frameworks\nExperience designing data products or internal platforms\nFamiliarity with front-end or full-stack development for end-to-end ownership\nEducational Qualifications & Experience\nBachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or related field (quantitative disciplines also welcome)\n10+ years of experience in Data Engineering, Software Engineering, or related fields\n2–4+ years of experience leading projects or teams (formal or informal leadership)\nExperience delivering production-grade data platforms or AI-enabled systems\nFinancial services experience is a plus but not required\nCompensation Pay Range: This position offers a competitive base salary range of $180,000–$200,000, commensurate with experience and qualifications.\nThis position is a hybrid opportunity based in our Chicago office. #LI-Hybrid","company":"Origin Harbor Capital Solutions","rawCompany":"origin harbor capital solutions","city":"Chicago","state":"IL","isRemote":false,"isActive":false,"createdAt":"2026-08-06T13:30:44.229Z","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":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Lead Data Engineer","description":"Company Overview\nWhat makes Harbor unique is our commitment to only partnering with the very best asset managers globally. This focus allows us to act in the best interests of our shareholders every day, and help them achieve their investment goals through active, cost-aware investing. This approach has served us well, becoming one of the largest and most highly regarded managers in the industry. We take a similar approach with the people we hire, seeking the very best individuals that share our passion for putting shareholders first, and we are currently looking to grow our firm with talented, intellectually diverse people with excellent work ethics. If you are passionate about putting shareholders first and enjoy the unique nature of working with the very best asset managers in the world, please visit us at harborcapital.com/careers, search for this position and click on \"Apply\" to start your application!\nRole Description\nWe are seeking a Lead Data Engineer to drive the design, architecture, and delivery of scalable data platforms, AI-powered data products, and enterprise-grade data services. This role goes beyond hands-on engineering to include technical leadership, architectural decision-making, and cross-functional influence across the organization.\nYou will lead the development of end-to-end data ecosystems—including data pipelines, storage, APIs, and AI-enabled services—leveraging modern cloud infrastructure and emerging AI/LLM capabilities. You will play a critical role in shaping how data is transformed into actionable insights and production-grade tools that directly support investment decisions and client outcomes.\nIn addition to building, you will mentor engineers, set technical standards, and guide the evolution of our data platform, ensuring scalability, reliability, and alignment with long-term business strategy.\nYou will partner closely with teams across Multi-Asset Solutions, Investment Research, Investment Products, Accounting, Marketing, and Distribution to translate complex business needs into robust, high-impact data solutions.\nWhy would you want to work on our team?\nYou will operate at the intersection of data engineering, AI innovation, and investment decision-making, with a high degree of ownership and visibility. This is a role where you will:\nInfluence technical direction and architecture of a growing data platform\nBuild AI-powered data products used directly by investors and business leaders\nWork in a lean, high-impact team with minimal bureaucracy\nHave a clear line of sight between your work and real business outcomes\nHelp define best practices in a modern, cloud-native, AI-enabled environment\nWho will thrive in this role?\nThis role is ideal for engineers who:\nThink beyond implementation and design systems and platforms\nEnjoy mentoring others and leading technical discussions\nBalance hands-on coding with strategic thinking\nAre comfortable navigating ambiguity and shaping solutions from early-stage ideas\nTake ownership not just of features, but of systems, standards, and outcomes\nKey Responsibilities\nLead the architecture, design, and implementation of scalable data platforms and AI-enabled data products\nDefine and enforce data engineering standards, best practices, and design patterns\nOwn the end-to-end lifecycle of data pipelines, data services, and APIs from concept through production\nDrive adoption of AI/LLM capabilities within data workflows and products\nPartner with business stakeholders to translate complex requirements into technical solutions\nMentor and guide engineers, providing technical leadership and code reviews\nImprove system reliability, observability, and performance across the data stack\nLead technical decision-making on tools, frameworks, and architecture\nEnsure data governance, security, and compliance standards are embedded into systems\nCollaborate across teams and contribute across the stack when needed\nKey Behavioral Expectations\nApplies emerging AI/LLM capabilities pragmatically, with curiosity and good judgment\nComfortable with discovery work: prototype, test, iterate, and validate before scaling\nAdapts quickly as requirements and technical approaches evolve\nOwns delivery end-to-end, driving work through production and refinement\nCommunicates openly, contributes to design discussions, and challenges assumptions constructively\nCollaborates across teams and works across the stack when needed\nTechnical Knowledge, Skills & Abilities\nCore Requirements:\nDeep expertise in data engineering fundamentals (Python, SQL) with production experience\nProven experience designing scalable, reliable data architectures and pipelines\nStrong experience with AWS cloud ecosystem (infrastructure, CI/CD, observability)\nHands-on experience with AI-enabled applications and data pipelines\nStrong experience with Snowflake (including Cortex AI) or similar platforms\nExpertise in DevOps, containerization (Docker), and CI/CD pipelines\nStrong knowledge of database systems (Postgres, Aurora, or similar)\nExperience with Infrastructure as Code (CloudFormation, Pulumi; Terraform a plus)\nExperience integrating and leveraging LLM developer tools (Claude Code, Copilot, etc.)\nNice to Have:\nExperience leading or mentoring engineering teams\nExperience in financial services or regulated environments\nKnowledge of data governance, lineage, and security frameworks\nExperience designing data products or internal platforms\nFamiliarity with front-end or full-stack development for end-to-end ownership\nEducational Qualifications & Experience\nBachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or related field (quantitative disciplines also welcome)\n10+ years of experience in Data Engineering, Software Engineering, or related fields\n2–4+ years of experience leading projects or teams (formal or informal leadership)\nExperience delivering production-grade data platforms or AI-enabled systems\nFinancial services experience is a plus but not required\nCompensation Pay Range: This position offers a competitive base salary range of $180,000–$200,000, commensurate with experience and qualifications.\nThis position is a hybrid opportunity based in our Chicago office. #LI-Hybrid","datePosted":"2026-08-06T13:30:44.229Z","dateModified":"2026-08-06T13:30:44.229Z","hiringOrganization":{"@type":"Organization","name":"Origin Harbor Capital Solutions","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Chicago","addressRegion":"IL","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"9784b0723b61cdd2de8a1c4b"},"url":"https://jobsearcher.com/jobs/9784b0723b61cdd2de8a1c4b"}}