{"schemaVersion":"jobsearcher.job.v1","id":"3523fa3283be7b8b7eba9b92","url":"https://jobsearcher.com/jobs/3523fa3283be7b8b7eba9b92","canonicalUrl":"https://jobsearcher.com/jobs/3523fa3283be7b8b7eba9b92","title":"GCP Data Engineer/Architect","description":"Role: Data Engineer - GCP\nJob Summary\nWe are seeking a highly skilled Data Engineer with deep expertise in Google Cloud Platform (GCP) and modern data architecture. The ideal candidate will have hands-on experience designing scalable data pipelines, implementing Medallion Architecture, and building robust enterprise-grade data solutions.\nThis role requires strong technical proficiency in BigQuery, PySpark, Dataflow, and Airflow, along with a solid understanding of cloud data governance, performance optimization, and CI/CD practices.\nKey Responsibilities\nDesign, develop, and maintain scalable batch and real-time data pipelines on GCP\nImplement and manage Medallion Architecture (Bronze, Silver, Gold layers) for data processing\nBuild high-performance data transformations using Python and PySpark\nDevelop and optimize complex SQL queries for analytical workloads\nWork extensively with BigQuery for large-scale data processing and performance tuning\nDevelop and deploy pipelines using Cloud Dataflow\nOrchestrate workflows using Cloud Composer (Apache Airflow)\nManage data storage and lifecycle using Google Cloud Storage (GCS)\nImplement version control and CI/CD pipelines using Git-based tools\nEnsure data security, governance, and access control using GCP IAM\nOptimize data solutions for performance, scalability, reliability, and cost-efficiency\nRequired Skills & Experience\nStrong hands-on experience with Google Cloud Platform (GCP)\nExpertise in BigQuery (partitioning, clustering, query optimization)\nProven experience implementing Medallion Data Architecture\nHands- on Experience with Java Development\nStrong programming skills in Python and PySpark\nAdvanced proficiency in SQL (complex joins, window functions, performance tuning)\nHands-on experience with Cloud Dataflow\nExperience with Cloud Composer (Airflow) for orchestration\nExperience working with Google Cloud Storage (GCS)\nKnowledge of version control systems (Git) and CI/CD practices\nStrong understanding of GCP IAM and cloud security best practices\nExperience:\nGoogle Cloud Platform (GCP): 6 years (Required)\nMedallion Architecture: 6 years (Required)\nApache Beam / Java Development : 5 years (Required)\nWork Location: Remote","company":"Alchemy","rawCompany":"alchemy","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-08-15T13:35:34.184Z","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":"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":"GCP Data Engineer/Architect","description":"Role: Data Engineer - GCP\nJob Summary\nWe are seeking a highly skilled Data Engineer with deep expertise in Google Cloud Platform (GCP) and modern data architecture. The ideal candidate will have hands-on experience designing scalable data pipelines, implementing Medallion Architecture, and building robust enterprise-grade data solutions.\nThis role requires strong technical proficiency in BigQuery, PySpark, Dataflow, and Airflow, along with a solid understanding of cloud data governance, performance optimization, and CI/CD practices.\nKey Responsibilities\nDesign, develop, and maintain scalable batch and real-time data pipelines on GCP\nImplement and manage Medallion Architecture (Bronze, Silver, Gold layers) for data processing\nBuild high-performance data transformations using Python and PySpark\nDevelop and optimize complex SQL queries for analytical workloads\nWork extensively with BigQuery for large-scale data processing and performance tuning\nDevelop and deploy pipelines using Cloud Dataflow\nOrchestrate workflows using Cloud Composer (Apache Airflow)\nManage data storage and lifecycle using Google Cloud Storage (GCS)\nImplement version control and CI/CD pipelines using Git-based tools\nEnsure data security, governance, and access control using GCP IAM\nOptimize data solutions for performance, scalability, reliability, and cost-efficiency\nRequired Skills & Experience\nStrong hands-on experience with Google Cloud Platform (GCP)\nExpertise in BigQuery (partitioning, clustering, query optimization)\nProven experience implementing Medallion Data Architecture\nHands- on Experience with Java Development\nStrong programming skills in Python and PySpark\nAdvanced proficiency in SQL (complex joins, window functions, performance tuning)\nHands-on experience with Cloud Dataflow\nExperience with Cloud Composer (Airflow) for orchestration\nExperience working with Google Cloud Storage (GCS)\nKnowledge of version control systems (Git) and CI/CD practices\nStrong understanding of GCP IAM and cloud security best practices\nExperience:\nGoogle Cloud Platform (GCP): 6 years (Required)\nMedallion Architecture: 6 years (Required)\nApache Beam / Java Development : 5 years (Required)\nWork Location: Remote","datePosted":"2026-08-15T13:35:34.184Z","dateModified":"2026-08-15T13:35:34.184Z","hiringOrganization":{"@type":"Organization","name":"Alchemy","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"3523fa3283be7b8b7eba9b92"},"url":"https://jobsearcher.com/jobs/3523fa3283be7b8b7eba9b92"}}