{"schemaVersion":"jobsearcher.job.v1","id":"ab454571a1bdadd12490d919","url":"https://jobsearcher.com/jobs/ab454571a1bdadd12490d919","canonicalUrl":"https://jobsearcher.com/jobs/ab454571a1bdadd12490d919","title":"Technology Architect Python Big Data","description":"Visa-independent candidates only\r\nAbout the RoleWe are seeking a senior Technology Architect / Python Platform Engineer to design and build a containerized API layer that abstracts and governs interactions with Apache Spark through a well-defined API contract. This is a platform-building role focused on creating consistent, secure, and scalable access to Spark-based data pipelines—not simply consuming existing tools.\r\nYou will develop production‑grade APIs in Python, package them as reusable containerized services (Docker/Kubernetes), and operate them as platform capabilities. Strong hands‑on experience with GCP, CI/CD automation (especially GitHub Actions), and solid software engineering practices around testing, versioning, and deployment are essential. The role also involves client coordination, delivery ownership, and managing offshore resources while collaborating with onsite teams.\r\nKey ResponsibilitiesLead delivery coordination and manage complex software application development & support projects\r\nDesign and build a containerized API control plane that securely governs access to Spark-based data pipelines\r\nDevelop production‑grade Python APIs and platform services using modern design patterns\r\nDrive CI/CD automation, testing, versioning, and deployment practices\r\nCoordinate with clients, work closely with onsite team members, and manage offshore resources\r\nEnsure observability, policy enforcement, metadata management, and scalable job execution\r\nMust‑Have SkillsPython(strong production experience)\r\nPySpark\r\nAPI development& Microservices\r\nCI/CD(GitHub Actions preferred)\r\nGCP\r\nETL\r\nExperience building control planes / platform services\r\nContainerization (Docker / Kubernetes)\r\nPreferred Technical BackgroundFastAPI, ARQ, Kubernetes, Pytest\r\nDesign patterns: modular containerized services, asynchronous processing, job-based work queues, immutability & idempotency, metadata management, policy enforcement, semantic modeling, observability/telemetry\r\nFunctional and behavioral testing\r\nRequirements10+ years of IT experience\r\nProven ability to interact and coordinate with clients\r\nExperience managing offshore teams and collaborating with onsite resources\r\nStrong software engineering fundamentals (testing, versioning, deployment)\r\nNo certifications required\r\nAdditional DetailsLocal candidates preferred (Charlotte, NC area)\r\nHybrid onsite arrangement\r\nVisa-independent candidates only\r\nIf you are a hands‑on Python platform engineer with deep experience building APIs and control planes around Spark/GCP, and you thrive in a client‑facing architect role with delivery ownership, we’d like to hear from you.\r\nFlexible work from home options available.#J-18808-Ljbffr","company":"Timebox Pro","rawCompany":"timebox pro","city":"Charlotte","state":"NC","isRemote":false,"isActive":false,"createdAt":"2026-10-04T01:34:11.761Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Technology Architect Python Big Data","description":"Visa-independent candidates only\r\nAbout the RoleWe are seeking a senior Technology Architect / Python Platform Engineer to design and build a containerized API layer that abstracts and governs interactions with Apache Spark through a well-defined API contract. This is a platform-building role focused on creating consistent, secure, and scalable access to Spark-based data pipelines—not simply consuming existing tools.\r\nYou will develop production‑grade APIs in Python, package them as reusable containerized services (Docker/Kubernetes), and operate them as platform capabilities. Strong hands‑on experience with GCP, CI/CD automation (especially GitHub Actions), and solid software engineering practices around testing, versioning, and deployment are essential. The role also involves client coordination, delivery ownership, and managing offshore resources while collaborating with onsite teams.\r\nKey ResponsibilitiesLead delivery coordination and manage complex software application development & support projects\r\nDesign and build a containerized API control plane that securely governs access to Spark-based data pipelines\r\nDevelop production‑grade Python APIs and platform services using modern design patterns\r\nDrive CI/CD automation, testing, versioning, and deployment practices\r\nCoordinate with clients, work closely with onsite team members, and manage offshore resources\r\nEnsure observability, policy enforcement, metadata management, and scalable job execution\r\nMust‑Have SkillsPython(strong production experience)\r\nPySpark\r\nAPI development& Microservices\r\nCI/CD(GitHub Actions preferred)\r\nGCP\r\nETL\r\nExperience building control planes / platform services\r\nContainerization (Docker / Kubernetes)\r\nPreferred Technical BackgroundFastAPI, ARQ, Kubernetes, Pytest\r\nDesign patterns: modular containerized services, asynchronous processing, job-based work queues, immutability & idempotency, metadata management, policy enforcement, semantic modeling, observability/telemetry\r\nFunctional and behavioral testing\r\nRequirements10+ years of IT experience\r\nProven ability to interact and coordinate with clients\r\nExperience managing offshore teams and collaborating with onsite resources\r\nStrong software engineering fundamentals (testing, versioning, deployment)\r\nNo certifications required\r\nAdditional DetailsLocal candidates preferred (Charlotte, NC area)\r\nHybrid onsite arrangement\r\nVisa-independent candidates only\r\nIf you are a hands‑on Python platform engineer with deep experience building APIs and control planes around Spark/GCP, and you thrive in a client‑facing architect role with delivery ownership, we’d like to hear from you.\r\nFlexible work from home options available.#J-18808-Ljbffr","datePosted":"2026-10-04T01:34:11.761Z","dateModified":"2026-10-04T01:34:11.761Z","hiringOrganization":{"@type":"Organization","name":"Timebox Pro","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Charlotte","addressRegion":"NC","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"ab454571a1bdadd12490d919"},"url":"https://jobsearcher.com/jobs/ab454571a1bdadd12490d919"}}