{"schemaVersion":"jobsearcher.job.v1","id":"dbb4a788ce57af826bfae769","url":"https://jobsearcher.com/jobs/dbb4a788ce57af826bfae769","canonicalUrl":"https://jobsearcher.com/jobs/dbb4a788ce57af826bfae769","title":"Senior Data Platform Engineer","description":"Senior Data Platform EngineerHandraise is hiring a Senior Data Platform Engineer to help design, build, and scale the data infrastructure powering our AI-native media and narrative intelligence platform.\r\nThis is not a traditional backend engineering role. You will work on the systems that ingest, process, enrich, organize, and serve massive volumes of global news and digital content so that our customers can understand the narratives shaping their brands, industries, competitors, and reputations.\r\nYou will be responsible for building reliable data pipelines, improving the performance and quality of our data platform, and helping turn unstructured content into structured intelligence that our AI systems can reason over. Your work will directly support critical product capabilities including narrative clustering, brand-centric sentiment, publication intelligence, competitive analysis, LLM perception, citation intelligence, and executive-level briefings.\r\nYou will work closely with engineering, product, data science, and company leadership to make foundational technical decisions that influence the future of the platform. You will also help establish the architecture, standards, and operating practices required to scale a rapidly growing enterprise product.\r\nIf you are someone who enjoys solving hard data problems, can operate without a perfect playbook, and wants to build infrastructure that sits at the center of a differentiated AI product, this role is for you.\r\nYour ImpactDesign, build, and maintain scalable pipelines for ingesting and processing large volumes of global news, media, and digital content\r\nImprove the reliability, throughput, latency, observability, and cost efficiency of the Handraise data platform\r\nDevelop systems that transform unstructured content into structured, queryable, and AI-ready data\r\nBuild and maintain data models, enrichment workflows, APIs, and services used across the Handraise platform\r\nSupport core intelligence capabilities including narrative clustering, brand-centric sentiment, publication tiering, entity resolution, prominence, social engagement, and LLM perception analysis\r\nPartner with product and data science teams to productionize new models, signals, and enrichment capabilities\r\nBuild systems that allow our AI applications to retrieve the correct context and generate trustworthy, traceable answers\r\nImprove data quality by identifying ingestion failures, duplication, coverage gaps, schema inconsistencies, and enrichment errors\r\nEstablish monitoring, alerting, testing, and recovery processes across critical data workflows\r\nHelp make architectural decisions related to storage, indexing, orchestration, streaming, batch processing, and data serving\r\nContribute to security, privacy, governance, auditability, and enterprise-readiness across the platform\r\nHelp define the engineering standards and technical foundation for a rapidly growing data organization\r\nMentor other engineers and raise the technical bar across the team\r\nYour Skills6+ years of professional software engineering experience, with significant experience building data-intensive systems\r\nStrong experience designing and operating production data pipelines at scale\r\nAdvanced proficiency in Python and SQL\r\nExperience working with distributed systems, cloud infrastructure, data warehouses, object storage, and large-scale search or indexing technologies\r\nExperience with batch and streaming data architectures\r\nStrong understanding of data modeling, schema design, partitioning, orchestration, and pipeline reliability\r\nExperience building systems that process large volumes of structured and unstructured data\r\nExperience with observability, monitoring, automated testing, incident response, and production troubleshooting\r\nYou understand how to balance speed, scalability, reliability, and cost\r\nYou can move between architecture-level thinking and hands-on implementation\r\nYou are comfortable diagnosing difficult problems across pipelines, infrastructure, application code, and third-party data sources\r\nYou can communicate technical tradeoffs clearly to both technical and non-technical stakeholders\r\nYou are comfortable operating in ambiguity. Unrefined processes, evolving requirements, and incomplete information do not slow you down\r\nYou are proactive and take ownership. You do not wait for direction when you see an important problem\r\nYou care deeply about data accuracy, system reliability, and the downstream consequences of poor-quality data\r\nNon-NegotiablesYou understand that this is an early-stage startup and you will be wearing multiple hats\r\nYou are excited by the opportunity to build an innovative company and technical platform from the ground up\r\nYou do not have a \"that is not my job\" attitude. If it needs to be done, we all have to step up and get it done\r\nYou are willing to work directly in production systems, investigate data issues, and help resolve urgent customer-impacting problems\r\nYou are comfortable making pragmatic decisions with imperfect information\r\nYou care about building systems that are not only technically elegant, but commercially valuable\r\nYou are curious and passionate about the use and impact of AI\r\nYou are not afraid of learning complex media, communications, search, machine learning, and LLM concepts\r\nYou take responsibility for the quality, reliability, and performance of the systems you build\r\nNice to HavesExperience building media monitoring, search, intelligence, analytics, or social listening platforms\r\nExperience with OpenSearch, Elasticsearch, or similar large-scale search infrastructure\r\nExperience with modern data orchestration and transformation tools\r\nExperience building event-driven or streaming architectures\r\nExperience working with NLP, machine learning, LLM, retrieval, or AI-enrichment pipelines\r\nExperience with entity resolution, document classification, clustering, semantic search, embeddings, or knowledge graphs\r\nExperience integrating and normalizing data from multiple third-party providers\r\nExperience supporting enterprise-grade applications with strict uptime and data-quality expectations\r\nExperience with infrastructure as code, containerization, and cloud-native deployment practices\r\nEarly-to-mid-stage startup experience\r\nExperience mentoring engineers or serving as a technical lead\r\nOur BenefitsCompetitive compensation with equity\r\nVery competitive health benefits, including medical, dental, vision, and life insurance\r\nOpportunity to shape the architecture and technical foundation of an AI-native platform from the ground floor\r\nDirect influence over product strategy and company direction\r\nHigh ownership, high autonomy, and the opportunity to solve difficult, meaningful technical problems\r\nThe chance to build proprietary data and AI infrastructure used by some of the world's largest and most influential brands\r\nA highly collaborative team that values speed, accountability, curiosity, and exceptional work\r\nSound Great? What Next?Apply below.\r\nAfter reviewing resumes, selected candidates will be invited to an initial phone screening, followed by technical and in-person interviews with members of the Handraise engineering and leadership teams.\r\nHandraise is dedicated to equal employment opportunities. We prioritize creating a diverse and inclusive workplace, free of harassment and discrimination. We believe that hiring talented individuals from diverse backgrounds is not only just but also vital to our strength as a company. Our customer base is diverse, and so is our team. Therefore, we welcome job candidates from all backgrounds. Everyone will receive consideration for employment without regard to any status protected by federal, state, or local laws.","company":"Handraise","rawCompany":"handraise","city":"Austin","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-08-09T01:19:10.763Z","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":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Data Platform Engineer","description":"Senior Data Platform EngineerHandraise is hiring a Senior Data Platform Engineer to help design, build, and scale the data infrastructure powering our AI-native media and narrative intelligence platform.\r\nThis is not a traditional backend engineering role. You will work on the systems that ingest, process, enrich, organize, and serve massive volumes of global news and digital content so that our customers can understand the narratives shaping their brands, industries, competitors, and reputations.\r\nYou will be responsible for building reliable data pipelines, improving the performance and quality of our data platform, and helping turn unstructured content into structured intelligence that our AI systems can reason over. Your work will directly support critical product capabilities including narrative clustering, brand-centric sentiment, publication intelligence, competitive analysis, LLM perception, citation intelligence, and executive-level briefings.\r\nYou will work closely with engineering, product, data science, and company leadership to make foundational technical decisions that influence the future of the platform. You will also help establish the architecture, standards, and operating practices required to scale a rapidly growing enterprise product.\r\nIf you are someone who enjoys solving hard data problems, can operate without a perfect playbook, and wants to build infrastructure that sits at the center of a differentiated AI product, this role is for you.\r\nYour ImpactDesign, build, and maintain scalable pipelines for ingesting and processing large volumes of global news, media, and digital content\r\nImprove the reliability, throughput, latency, observability, and cost efficiency of the Handraise data platform\r\nDevelop systems that transform unstructured content into structured, queryable, and AI-ready data\r\nBuild and maintain data models, enrichment workflows, APIs, and services used across the Handraise platform\r\nSupport core intelligence capabilities including narrative clustering, brand-centric sentiment, publication tiering, entity resolution, prominence, social engagement, and LLM perception analysis\r\nPartner with product and data science teams to productionize new models, signals, and enrichment capabilities\r\nBuild systems that allow our AI applications to retrieve the correct context and generate trustworthy, traceable answers\r\nImprove data quality by identifying ingestion failures, duplication, coverage gaps, schema inconsistencies, and enrichment errors\r\nEstablish monitoring, alerting, testing, and recovery processes across critical data workflows\r\nHelp make architectural decisions related to storage, indexing, orchestration, streaming, batch processing, and data serving\r\nContribute to security, privacy, governance, auditability, and enterprise-readiness across the platform\r\nHelp define the engineering standards and technical foundation for a rapidly growing data organization\r\nMentor other engineers and raise the technical bar across the team\r\nYour Skills6+ years of professional software engineering experience, with significant experience building data-intensive systems\r\nStrong experience designing and operating production data pipelines at scale\r\nAdvanced proficiency in Python and SQL\r\nExperience working with distributed systems, cloud infrastructure, data warehouses, object storage, and large-scale search or indexing technologies\r\nExperience with batch and streaming data architectures\r\nStrong understanding of data modeling, schema design, partitioning, orchestration, and pipeline reliability\r\nExperience building systems that process large volumes of structured and unstructured data\r\nExperience with observability, monitoring, automated testing, incident response, and production troubleshooting\r\nYou understand how to balance speed, scalability, reliability, and cost\r\nYou can move between architecture-level thinking and hands-on implementation\r\nYou are comfortable diagnosing difficult problems across pipelines, infrastructure, application code, and third-party data sources\r\nYou can communicate technical tradeoffs clearly to both technical and non-technical stakeholders\r\nYou are comfortable operating in ambiguity. Unrefined processes, evolving requirements, and incomplete information do not slow you down\r\nYou are proactive and take ownership. You do not wait for direction when you see an important problem\r\nYou care deeply about data accuracy, system reliability, and the downstream consequences of poor-quality data\r\nNon-NegotiablesYou understand that this is an early-stage startup and you will be wearing multiple hats\r\nYou are excited by the opportunity to build an innovative company and technical platform from the ground up\r\nYou do not have a \"that is not my job\" attitude. If it needs to be done, we all have to step up and get it done\r\nYou are willing to work directly in production systems, investigate data issues, and help resolve urgent customer-impacting problems\r\nYou are comfortable making pragmatic decisions with imperfect information\r\nYou care about building systems that are not only technically elegant, but commercially valuable\r\nYou are curious and passionate about the use and impact of AI\r\nYou are not afraid of learning complex media, communications, search, machine learning, and LLM concepts\r\nYou take responsibility for the quality, reliability, and performance of the systems you build\r\nNice to HavesExperience building media monitoring, search, intelligence, analytics, or social listening platforms\r\nExperience with OpenSearch, Elasticsearch, or similar large-scale search infrastructure\r\nExperience with modern data orchestration and transformation tools\r\nExperience building event-driven or streaming architectures\r\nExperience working with NLP, machine learning, LLM, retrieval, or AI-enrichment pipelines\r\nExperience with entity resolution, document classification, clustering, semantic search, embeddings, or knowledge graphs\r\nExperience integrating and normalizing data from multiple third-party providers\r\nExperience supporting enterprise-grade applications with strict uptime and data-quality expectations\r\nExperience with infrastructure as code, containerization, and cloud-native deployment practices\r\nEarly-to-mid-stage startup experience\r\nExperience mentoring engineers or serving as a technical lead\r\nOur BenefitsCompetitive compensation with equity\r\nVery competitive health benefits, including medical, dental, vision, and life insurance\r\nOpportunity to shape the architecture and technical foundation of an AI-native platform from the ground floor\r\nDirect influence over product strategy and company direction\r\nHigh ownership, high autonomy, and the opportunity to solve difficult, meaningful technical problems\r\nThe chance to build proprietary data and AI infrastructure used by some of the world's largest and most influential brands\r\nA highly collaborative team that values speed, accountability, curiosity, and exceptional work\r\nSound Great? What Next?Apply below.\r\nAfter reviewing resumes, selected candidates will be invited to an initial phone screening, followed by technical and in-person interviews with members of the Handraise engineering and leadership teams.\r\nHandraise is dedicated to equal employment opportunities. We prioritize creating a diverse and inclusive workplace, free of harassment and discrimination. We believe that hiring talented individuals from diverse backgrounds is not only just but also vital to our strength as a company. Our customer base is diverse, and so is our team. Therefore, we welcome job candidates from all backgrounds. Everyone will receive consideration for employment without regard to any status protected by federal, state, or local laws.","datePosted":"2026-08-09T01:19:10.763Z","dateModified":"2026-08-09T01:19:10.763Z","hiringOrganization":{"@type":"Organization","name":"Handraise","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Austin","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"dbb4a788ce57af826bfae769"},"url":"https://jobsearcher.com/jobs/dbb4a788ce57af826bfae769"}}