{"schemaVersion":"jobsearcher.job.v1","id":"999770757c6107bca07108dd","url":"https://jobsearcher.com/jobs/999770757c6107bca07108dd","canonicalUrl":"https://jobsearcher.com/jobs/999770757c6107bca07108dd","title":"Platform Engineer","description":"Company: Catalyst Marketing\nJob Title: Platform Engineer\nLocation: Austin, TX / In-office / Hybrid\nPosition Type: Exempt / Salaried\nSalary: $90,000 to $110,000\nRole Overview\nCatalyst is hiring a Platform Engineer to design and operate internal systems that support data infrastructure, integrations, and automation across our operational stack.\nThis role sits at the intersection of data engineering, platform architecture, and automation systems. You will build integrations across multiple SaaS platforms, design scalable data pipelines, models, and ingestion systems, and develop automation frameworks that reduce manual operational work.\nSuccess in this role means our internal systems operate as stable, reliable infrastructure. Data moves consistently between tools, workflows become automated, and teams can rely on the underlying systems to support day-to-day operations.\nThis is a U.S.-based role, with a strong preference for engineers located in Austin, Texas, who can collaborate closely with the team. Remote candidates within the U.S. will still be considered.\nYou will report to the Product Owner for the platform systems and collaborate closely with analytics, strategy, and developers.\nWhat You’ll Do\nDesign and maintain integrations across operational tools including Accelo, BigQuery, Looker Studio, Notion/Podio, digital ads platforms, CMS’s, and automation platforms.\nBuild and maintain data pipelines that normalize operational, marketing, and reporting data into a centralized data warehouse.\nArchitect automation workflows that eliminate repetitive production, reporting, and campaign management tasks.\nDevelop internal platform utilities, APIs, and scripts that support reporting, analytics, and operational systems.\nEnsure platform reliability, including monitoring, logging, and data integrity across the stack.\nCollaborate with analytics, strategy, and product teams to translate operational needs into scalable platform capabilities.\nContinuously identify opportunities to replace manual workflows with reusable infrastructure and automation systems.\nExample Problems You Might Work On\nExamples of the kinds of problems this role may tackle include:\nDesigning a reliable data pipeline that synchronizes data across multiple SaaS systems while maintaining data integrity and observability.\nReplacing a manual operational workflow with an automated system that coordinates APIs, data transformations, and reporting outputs.\nBuilding an internal service that exposes normalized operational data through APIs for analytics and reporting tools.\nImproving the reliability and monitoring of existing integrations, including alerting and failure recovery.\nCreating reusable infrastructure for workflow automation and cross-system data synchronization.\nYou may not be handed tickets for isolated tasks. You will be expected to design systems that solve operational problems in durable ways.\nRequired Skills & Experience\n5+ years building production-grade data pipelines, integrations, or internal platforms.\nStrong experience working with cloud data warehouses (BigQuery strongly preferred).\nExperience integrating SaaS platforms via APIs and automation frameworks.\nProficiency in Python, JavaScript, or similar scripting languages + strong SQL skills.\nExperience building or supporting BI and reporting pipelines (Looker, Looker Studio, Tableau, or similar).\nExperience designing scalable data models and data pipelines.\nStrong systems-thinking mindset and ability to architect durable infrastructure.\nExperience working with automation tooling (Make, Zapier, n8n, or similar).\nIdeal Experience\nCandidates do not need all of these, but strong applicants typically have several.\nExperience building internal developer platforms or operational systems\nExperience designing event-driven data pipelines or integration frameworks\nExperience integrating CRM, marketing, or operational SaaS systems\nExperience designing analytics-ready data models\nExperience implementing observability, logging, and monitoring systems\nExperience working with modern automation platforms such as Make, n8n, or similar orchestration tools\nAI-Native Tooling (Nice to Have)\nCatalyst is actively experimenting with AI-assisted infrastructure and automation systems. Experience in this area is a plus.\nExamples include:\nBuilding or integrating AI agents into operational workflows\nWorking with MCP (Model Context Protocol) servers\nDeveloping AI-assisted automation pipelines\nExperience with agent orchestration frameworks\nUsing AI tools to accelerate development, data analysis, or workflow automation\nExperience with LLM-enabled tooling inside internal platforms\nWhat We Value in Engineers\nWe value engineers who:\nThink in systems, not scripts.\nPrefer durable infrastructure over quick patches.\nCan translate messy operational problems into clean technical solutions.\nTake ownership of the reliability and maintainability of the systems they build.\nCommunicate clearly with both technical and non-technical teammates.\nYou don’t need experience in our exact tools, but you should be comfortable designing systems that integrate multiple services and data sources.\nHow We Work\nCatalyst operates at the intersection of craft, performance, and operational reliability.\nIn practice, that means:\nWe build systems that remove friction from complex workflows.\nWe replace repetitive operational work with infrastructure.\nWe prioritize clear thinking, strong architecture, and durable systems.\nThis role is ideal for engineers who enjoy building systems that quietly make complex organizations run better.","company":"Catalyst","rawCompany":"catalyst","city":"Austin","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-04-15T05:32:15.423Z","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":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"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":"Platform Engineer","description":"Company: Catalyst Marketing\nJob Title: Platform Engineer\nLocation: Austin, TX / In-office / Hybrid\nPosition Type: Exempt / Salaried\nSalary: $90,000 to $110,000\nRole Overview\nCatalyst is hiring a Platform Engineer to design and operate internal systems that support data infrastructure, integrations, and automation across our operational stack.\nThis role sits at the intersection of data engineering, platform architecture, and automation systems. You will build integrations across multiple SaaS platforms, design scalable data pipelines, models, and ingestion systems, and develop automation frameworks that reduce manual operational work.\nSuccess in this role means our internal systems operate as stable, reliable infrastructure. Data moves consistently between tools, workflows become automated, and teams can rely on the underlying systems to support day-to-day operations.\nThis is a U.S.-based role, with a strong preference for engineers located in Austin, Texas, who can collaborate closely with the team. Remote candidates within the U.S. will still be considered.\nYou will report to the Product Owner for the platform systems and collaborate closely with analytics, strategy, and developers.\nWhat You’ll Do\nDesign and maintain integrations across operational tools including Accelo, BigQuery, Looker Studio, Notion/Podio, digital ads platforms, CMS’s, and automation platforms.\nBuild and maintain data pipelines that normalize operational, marketing, and reporting data into a centralized data warehouse.\nArchitect automation workflows that eliminate repetitive production, reporting, and campaign management tasks.\nDevelop internal platform utilities, APIs, and scripts that support reporting, analytics, and operational systems.\nEnsure platform reliability, including monitoring, logging, and data integrity across the stack.\nCollaborate with analytics, strategy, and product teams to translate operational needs into scalable platform capabilities.\nContinuously identify opportunities to replace manual workflows with reusable infrastructure and automation systems.\nExample Problems You Might Work On\nExamples of the kinds of problems this role may tackle include:\nDesigning a reliable data pipeline that synchronizes data across multiple SaaS systems while maintaining data integrity and observability.\nReplacing a manual operational workflow with an automated system that coordinates APIs, data transformations, and reporting outputs.\nBuilding an internal service that exposes normalized operational data through APIs for analytics and reporting tools.\nImproving the reliability and monitoring of existing integrations, including alerting and failure recovery.\nCreating reusable infrastructure for workflow automation and cross-system data synchronization.\nYou may not be handed tickets for isolated tasks. You will be expected to design systems that solve operational problems in durable ways.\nRequired Skills & Experience\n5+ years building production-grade data pipelines, integrations, or internal platforms.\nStrong experience working with cloud data warehouses (BigQuery strongly preferred).\nExperience integrating SaaS platforms via APIs and automation frameworks.\nProficiency in Python, JavaScript, or similar scripting languages + strong SQL skills.\nExperience building or supporting BI and reporting pipelines (Looker, Looker Studio, Tableau, or similar).\nExperience designing scalable data models and data pipelines.\nStrong systems-thinking mindset and ability to architect durable infrastructure.\nExperience working with automation tooling (Make, Zapier, n8n, or similar).\nIdeal Experience\nCandidates do not need all of these, but strong applicants typically have several.\nExperience building internal developer platforms or operational systems\nExperience designing event-driven data pipelines or integration frameworks\nExperience integrating CRM, marketing, or operational SaaS systems\nExperience designing analytics-ready data models\nExperience implementing observability, logging, and monitoring systems\nExperience working with modern automation platforms such as Make, n8n, or similar orchestration tools\nAI-Native Tooling (Nice to Have)\nCatalyst is actively experimenting with AI-assisted infrastructure and automation systems. Experience in this area is a plus.\nExamples include:\nBuilding or integrating AI agents into operational workflows\nWorking with MCP (Model Context Protocol) servers\nDeveloping AI-assisted automation pipelines\nExperience with agent orchestration frameworks\nUsing AI tools to accelerate development, data analysis, or workflow automation\nExperience with LLM-enabled tooling inside internal platforms\nWhat We Value in Engineers\nWe value engineers who:\nThink in systems, not scripts.\nPrefer durable infrastructure over quick patches.\nCan translate messy operational problems into clean technical solutions.\nTake ownership of the reliability and maintainability of the systems they build.\nCommunicate clearly with both technical and non-technical teammates.\nYou don’t need experience in our exact tools, but you should be comfortable designing systems that integrate multiple services and data sources.\nHow We Work\nCatalyst operates at the intersection of craft, performance, and operational reliability.\nIn practice, that means:\nWe build systems that remove friction from complex workflows.\nWe replace repetitive operational work with infrastructure.\nWe prioritize clear thinking, strong architecture, and durable systems.\nThis role is ideal for engineers who enjoy building systems that quietly make complex organizations run better.","datePosted":"2026-04-15T05:32:15.423Z","dateModified":"2026-04-15T05:32:15.423Z","hiringOrganization":{"@type":"Organization","name":"Catalyst","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Austin","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"999770757c6107bca07108dd"},"url":"https://jobsearcher.com/jobs/999770757c6107bca07108dd"}}