{"schemaVersion":"jobsearcher.job.v1","id":"d8a6bdd2d546fde74ee5a29f","url":"https://jobsearcher.com/jobs/d8a6bdd2d546fde74ee5a29f","canonicalUrl":"https://jobsearcher.com/jobs/d8a6bdd2d546fde74ee5a29f","title":"Staff Data Engineer","description":"Staff Engineer, Data EngineeringAbout the RoleWe are seeking a highly experienced Staff Engineer, Data Engineering to provide technical leadership across a complex and evolving data ecosystem. This role is ideal for a hands-on technical leader who thrives at the intersection of data architecture, large-scale distributed systems, and AI-powered product development.As a Staff Engineer, you will play a critical role in shaping the long-term data strategy, driving architectural alignment across multiple platforms, and enabling the next generation of data and AI-driven products. You will partner closely with Engineering, Product, and Machine Learning teams to build scalable systems that support real-time analytics, audience intelligence, and advanced data applications.This is an individual contributor role with significant influence across teams, technologies, and business initiatives.What You'll DoDesign, own, and evolve large-scale data architecture across multiple products and platformsLead technical strategy for integrating disparate data systems into a cohesive ecosystemArchitect and deliver scalable data pipelines, streaming infrastructure, and warehouse solutionsDrive AI and backend infrastructure initiatives, including LLM-powered product capabilities and data foundations for AI workloadsEstablish best practices for data modeling, governance, observability, reliability, and performancePartner with Product, Engineering, and ML teams to translate business requirements into scalable technical solutionsEvaluate and implement emerging AI, machine learning, and generative AI technologiesProvide mentorship and technical guidance to engineers across the organizationInfluence engineering standards, architectural decision-making, and roadmap prioritizationParticipate in production support and on-call responsibilities for critical systemsWhat Success Looks LikeWithin your first year, you will:Drive alignment of data architecture across multiple teams and platformsImprove system scalability, reliability, and maintainabilityDeliver production-ready AI-enabled data capabilitiesEstablish higher engineering standards and best practices across the organizationStrengthen collaboration between Data Engineering, Product, and ML teamsEnable the successful integration of data products and services across the businessRequired Qualifications8+ years of experience in Data Engineering, Data Platform Engineering, or Data Architecture rolesProven success in a senior individual contributor or technical leadership positionStrong expertise in Python and modern backend development practicesExperience designing and operating large-scale data platforms and architecturesHands-on experience building production data pipelines and distributed systemsDeep understanding of data modeling, data warehousing, and data platform designExperience with Kafka or similar event-streaming technologiesExperience with modern cloud data warehouses such as Snowflake or similar technologiesHands-on experience building and deploying products that leverage Large Language Models (LLMs) or Generative AIStrong communication skills with the ability to explain architectural decisions to both technical and non-technical stakeholdersDemonstrated track record of mentoring engineers and elevating team capabilitiesPreferred QualificationsExperience with BigQueryFamiliarity with Kubernetes and containerized environmentsExperience with real-time streaming architectures and event-driven systemsBackground integrating platforms, products, or data systems across organizationsExperience partnering closely with Product teams to define and deliver customer-facing capabilitiesPassion for technical mentorship, engineering culture, and organizational impactTechnologies You'll Work WithPythonKafkaSnowflakeSparkElasticsearchCloud-based data platformsGenerative AI and LLM technologiesReal-time data processing and analytics systems","company":"Harnham","rawCompany":"harnham","city":"Chicago","state":"IL","isRemote":false,"isActive":false,"createdAt":"2026-10-06T06:07:59.987Z","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":"Staff Data Engineer","description":"Staff Engineer, Data EngineeringAbout the RoleWe are seeking a highly experienced Staff Engineer, Data Engineering to provide technical leadership across a complex and evolving data ecosystem. This role is ideal for a hands-on technical leader who thrives at the intersection of data architecture, large-scale distributed systems, and AI-powered product development.As a Staff Engineer, you will play a critical role in shaping the long-term data strategy, driving architectural alignment across multiple platforms, and enabling the next generation of data and AI-driven products. You will partner closely with Engineering, Product, and Machine Learning teams to build scalable systems that support real-time analytics, audience intelligence, and advanced data applications.This is an individual contributor role with significant influence across teams, technologies, and business initiatives.What You'll DoDesign, own, and evolve large-scale data architecture across multiple products and platformsLead technical strategy for integrating disparate data systems into a cohesive ecosystemArchitect and deliver scalable data pipelines, streaming infrastructure, and warehouse solutionsDrive AI and backend infrastructure initiatives, including LLM-powered product capabilities and data foundations for AI workloadsEstablish best practices for data modeling, governance, observability, reliability, and performancePartner with Product, Engineering, and ML teams to translate business requirements into scalable technical solutionsEvaluate and implement emerging AI, machine learning, and generative AI technologiesProvide mentorship and technical guidance to engineers across the organizationInfluence engineering standards, architectural decision-making, and roadmap prioritizationParticipate in production support and on-call responsibilities for critical systemsWhat Success Looks LikeWithin your first year, you will:Drive alignment of data architecture across multiple teams and platformsImprove system scalability, reliability, and maintainabilityDeliver production-ready AI-enabled data capabilitiesEstablish higher engineering standards and best practices across the organizationStrengthen collaboration between Data Engineering, Product, and ML teamsEnable the successful integration of data products and services across the businessRequired Qualifications8+ years of experience in Data Engineering, Data Platform Engineering, or Data Architecture rolesProven success in a senior individual contributor or technical leadership positionStrong expertise in Python and modern backend development practicesExperience designing and operating large-scale data platforms and architecturesHands-on experience building production data pipelines and distributed systemsDeep understanding of data modeling, data warehousing, and data platform designExperience with Kafka or similar event-streaming technologiesExperience with modern cloud data warehouses such as Snowflake or similar technologiesHands-on experience building and deploying products that leverage Large Language Models (LLMs) or Generative AIStrong communication skills with the ability to explain architectural decisions to both technical and non-technical stakeholdersDemonstrated track record of mentoring engineers and elevating team capabilitiesPreferred QualificationsExperience with BigQueryFamiliarity with Kubernetes and containerized environmentsExperience with real-time streaming architectures and event-driven systemsBackground integrating platforms, products, or data systems across organizationsExperience partnering closely with Product teams to define and deliver customer-facing capabilitiesPassion for technical mentorship, engineering culture, and organizational impactTechnologies You'll Work WithPythonKafkaSnowflakeSparkElasticsearchCloud-based data platformsGenerative AI and LLM technologiesReal-time data processing and analytics systems","datePosted":"2026-10-06T06:07:59.987Z","dateModified":"2026-10-06T06:07:59.987Z","hiringOrganization":{"@type":"Organization","name":"Harnham","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Chicago","addressRegion":"IL","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"d8a6bdd2d546fde74ee5a29f"},"url":"https://jobsearcher.com/jobs/d8a6bdd2d546fde74ee5a29f"}}