{"schemaVersion":"jobsearcher.job.v1","id":"9640e634beea1c90944f0df3","url":"https://jobsearcher.com/jobs/9640e634beea1c90944f0df3","canonicalUrl":"https://jobsearcher.com/jobs/9640e634beea1c90944f0df3","title":"Data Architect","description":"C5i is a pure-play AI & Analytics provider that combines the power of human perspective with AI technology to deliver trustworthy intelligence. The company drives value through a comprehensive solution set, integrating multifunctional teams that have technical and business domain expertise with a robust suite of products, solutions, and accelerators tailored for various horizontal and industry-specific use cases. At the core, C5i’s focus is to deliver business impact at speed and scale by driving adoption of AI-assisted decision-making.C5i caters to some of the world’s largest enterprises, including many Fortune 500 companies. The company’s clients span Technology, Media, and Telecom (TMT), Pharma & Lifesciences, CPG, Retail, Banking, and other sectors. C5i has been recognized by leading industry analysts like Gartner and Forrester for its Analytics and AI capabilities and proprietary AI-based platforms.Global offices\r\nUnited States | Canada | United Kingdom | United Arab of Emirates | IndiaEssential Duties and Responsibilities\r\n1. Data Platform Architecture & Design\r\nThese tasks reflect the core responsibility of the role in designing and governing a scalable, reusable data platform.\r\nDefines and maintains the lakehouse architecture on Azure Databricks, using Delta Lake and Unity Catalog.\r\nDesigns and applies Medallion Architecture (Bronze, Silver, Gold) patterns, data products, and semantic models.\r\nEstablishes reference designs, modeling conventions, and reusable patterns aligned with enterprise standards.\r\n2. Data Ingestion, Orchestration & Transformation\r\nThese tasks ensure reliable, well-structured data flows into and through the platform.\r\nDesigns ingestion pipelines using APIs, databases, files, and Databricks-native capabilities such as Lakeflow Connect and Auto Loader.\r\nDefines orchestration using Apache Airflow and data transformation and modeling using dbt Core.\r\nBuilds and guides development in SQL and Python/PySpark.\r\n3. Data Quality, Testing & Engineering Standards\r\nThese tasks ensure the platform is trusted, tested, and maintainable.\r\nDefines and implements data quality frameworks across pipelines and data products.\r\nEstablishes CI/CD, Git-based workflows, automated testing, and data pipeline monitoring.\r\n4. Partner Review & Technical Governance\r\nThese tasks ensure partner and vendor work meets enterprise standards.\r\nReviews partner architecture, code, data models, and pipelines for alignment with enterprise standards and reusable design.\r\nProvides technical guidance and feedback to distributed and partner engineering teams.\r\n5. Collaboration & Delivery\r\nThese tasks reflect collaboration with client and internal teams.\r\nWorks with client stakeholders, including on-site at the client office in Long Island City, NY 1–2 days a week.\r\nApplies AI-assisted/spec-driven development practices across the delivery lifecycle.Requirements\r\n8+ years of overall experience, including strong hands-on Databricks experience\r\nStrong experience with Azure Databricks, Delta Lake, Unity Catalog, SQL and Python/PySpark\r\nHands-on experience with Apache Airflow for orchestration and dbt Core for data transformation and modeling\r\nExperience building ingestion pipelines using APIs, databases, files and Databricks-native capabilities such as Lakeflow Connect and Auto Loader\r\nStrong understanding of Medallion Architecture (Bronze, Silver, Gold), data products, semantic modeling and data quality frameworks\r\nExperience with CI/CD, Git, automated testing and data pipeline monitoring\r\nAbility to review partner architecture, code, data models and pipelines, ensuring alignment with enterprise standards and reusable design\r\nExperience with AI-assisted/spec-driven development and working with distributed engineering teamsC5iis proud to be an equal opportunity employer. We are committed to equal employment opportunity regardless of race, color, religion, sex, sexual orientation, age, marital status, disability, gender identity, etc. If you have a disability or special need that requires accommodation, please keep us informed about the same at the hiring stages for us to factor necessary accommodations.","company":"C5i","rawCompany":"c5i","city":"Manhattan","state":"KS","isRemote":false,"isActive":false,"createdAt":"2026-10-20T01:22:44.379Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"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":"Data Architect","description":"C5i is a pure-play AI & Analytics provider that combines the power of human perspective with AI technology to deliver trustworthy intelligence. The company drives value through a comprehensive solution set, integrating multifunctional teams that have technical and business domain expertise with a robust suite of products, solutions, and accelerators tailored for various horizontal and industry-specific use cases. At the core, C5i’s focus is to deliver business impact at speed and scale by driving adoption of AI-assisted decision-making.C5i caters to some of the world’s largest enterprises, including many Fortune 500 companies. The company’s clients span Technology, Media, and Telecom (TMT), Pharma & Lifesciences, CPG, Retail, Banking, and other sectors. C5i has been recognized by leading industry analysts like Gartner and Forrester for its Analytics and AI capabilities and proprietary AI-based platforms.Global offices\r\nUnited States | Canada | United Kingdom | United Arab of Emirates | IndiaEssential Duties and Responsibilities\r\n1. Data Platform Architecture & Design\r\nThese tasks reflect the core responsibility of the role in designing and governing a scalable, reusable data platform.\r\nDefines and maintains the lakehouse architecture on Azure Databricks, using Delta Lake and Unity Catalog.\r\nDesigns and applies Medallion Architecture (Bronze, Silver, Gold) patterns, data products, and semantic models.\r\nEstablishes reference designs, modeling conventions, and reusable patterns aligned with enterprise standards.\r\n2. Data Ingestion, Orchestration & Transformation\r\nThese tasks ensure reliable, well-structured data flows into and through the platform.\r\nDesigns ingestion pipelines using APIs, databases, files, and Databricks-native capabilities such as Lakeflow Connect and Auto Loader.\r\nDefines orchestration using Apache Airflow and data transformation and modeling using dbt Core.\r\nBuilds and guides development in SQL and Python/PySpark.\r\n3. Data Quality, Testing & Engineering Standards\r\nThese tasks ensure the platform is trusted, tested, and maintainable.\r\nDefines and implements data quality frameworks across pipelines and data products.\r\nEstablishes CI/CD, Git-based workflows, automated testing, and data pipeline monitoring.\r\n4. Partner Review & Technical Governance\r\nThese tasks ensure partner and vendor work meets enterprise standards.\r\nReviews partner architecture, code, data models, and pipelines for alignment with enterprise standards and reusable design.\r\nProvides technical guidance and feedback to distributed and partner engineering teams.\r\n5. Collaboration & Delivery\r\nThese tasks reflect collaboration with client and internal teams.\r\nWorks with client stakeholders, including on-site at the client office in Long Island City, NY 1–2 days a week.\r\nApplies AI-assisted/spec-driven development practices across the delivery lifecycle.Requirements\r\n8+ years of overall experience, including strong hands-on Databricks experience\r\nStrong experience with Azure Databricks, Delta Lake, Unity Catalog, SQL and Python/PySpark\r\nHands-on experience with Apache Airflow for orchestration and dbt Core for data transformation and modeling\r\nExperience building ingestion pipelines using APIs, databases, files and Databricks-native capabilities such as Lakeflow Connect and Auto Loader\r\nStrong understanding of Medallion Architecture (Bronze, Silver, Gold), data products, semantic modeling and data quality frameworks\r\nExperience with CI/CD, Git, automated testing and data pipeline monitoring\r\nAbility to review partner architecture, code, data models and pipelines, ensuring alignment with enterprise standards and reusable design\r\nExperience with AI-assisted/spec-driven development and working with distributed engineering teamsC5iis proud to be an equal opportunity employer. We are committed to equal employment opportunity regardless of race, color, religion, sex, sexual orientation, age, marital status, disability, gender identity, etc. If you have a disability or special need that requires accommodation, please keep us informed about the same at the hiring stages for us to factor necessary accommodations.","datePosted":"2026-10-20T01:22:44.379Z","dateModified":"2026-10-20T01:22:44.379Z","hiringOrganization":{"@type":"Organization","name":"C5i","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Manhattan","addressRegion":"KS","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"9640e634beea1c90944f0df3"},"url":"https://jobsearcher.com/jobs/9640e634beea1c90944f0df3"}}