{"schemaVersion":"jobsearcher.job.v1","id":"2ed17ddd20876e7dc05abd19","url":"https://jobsearcher.com/jobs/2ed17ddd20876e7dc05abd19","canonicalUrl":"https://jobsearcher.com/jobs/2ed17ddd20876e7dc05abd19","title":"Computing Architect 4","description":"IT/Technical\nComputing Architect 4 Seattle, WA Posted: 4/2/2026\nJob Description\nJob ID#:\n216417\nJob Category\nIT/Technical\nPosition Type\nAssociate - W2\nDuration\n52\nShift\n1\nPDS Defense, Inc. is seeking a Computing Architect 4, in Seattle, WA. Job ID#216417\nPay Rate: $78 - $83/hr\nJob Description:\nBe part of a high performing software engineering organization focused on transforming the aviation training industry through Competency Based Training and Assessment (CBTA) digital solutions.\nIn this role, your responsibility will be to leverage Unified Data Modeling (UDM) to design and govern data models, process layers, transformations, routing, and schema evolution for the datalake built on Azure Databricks and Microsoft Azure. You will map incoming and changing source data to the UDM, manage and define data transformation rules, and collaborate closely with distributed data engineering teams (including team members in India) to implement robust, scalable data pipelines and governance.\nPosition Responsibilities:\n\nDesign, document, and maintain the Unified Data Model (UDM) artifacts and mappings.\n\nModel process layers in the datalake, defining transformation responsibilities and lineage across layers.\n\nDefine and enforce rules for data processing, including routing tables, validation rules, enrichment logic, and error-handling policies.\n\nAuthor and maintain schema definitions, attribute dictionaries, and change management processes for schema evolution.\n\nTranslate business and source system requirements into data transformation specifications to be implemented in Azure Databricks and downstream systems.\n\nCollaborate with data engineers to design performant transformations, partitioning, and storage strategies in the datalake.\n\nReview and approve data pipeline designs, ensuring adherence to UDM, governance, and security policies.\n\nWork with DevOps and engineering teams to operationalize CI/CD for Databricks notebooks, jobs, and infrastructure-as-code.\n\nProvide technical leadership and mentorship to data engineering teams, including remote collaboration with engineers located in India; coordinate design, implementation, and delivery across time zones (may require off-hour work).\n\nEstablish data quality metrics, monitoring, and remediation guidance; ensure traceability and lineage from source to consumption.\n\nParticipate in architecture and design reviews, code reviews, and agile ceremonies; drive best practices for data modeling and transformation.\n\nCommunicate architecture decisions and trade-offs to stakeholders, product owners, and engineering teams.\n\nThis position is On Site.\nDescribe the project/day-to-day activities they will be working on:\nDesigning, improving, communicating, and managing data and data models for training analytics application.\nTechnical/Software Skills needed:\nUnified Data Model (UDM)\nData lakehouse concepts\nBusiness intelligence analytical understanding\nBasic Qualifications (Required Skill/Experience):\n\n9+ years of experience in data architecture, data modeling, or related data engineering roles.\n\nProven experience designing and implementing Unified Data Models (UDM).\n\nStrong expertise in Structured Query Language (SQL)\n\nStrong expertise in data modeling across multiple process layers (raw/ingest, transformed, curated) and defining transformation logic.\n\nDeep understanding of data governance, data lineage, metadata management, and data quality concepts.\n\nDemonstrated experience with Databricks and building/architecting datalake solutions.\n\nExperience defining schema evolution processes, new attribute definitions, and backward-compatible changes.\n\nExperience authoring route tables, processing rules, and data routing/ingestion patterns.\n\nExperience collaborating with geographically distributed engineering teams and willingness to work off hours to coordinate with teams in India.\n\nStrong communication, documentation, and stakeholder engagement skills.\n\nPreferred Qualifications (Desired Skills/Experience):\n\nPrior experience in aviation, training analytics, or related operational data domains.\n\nExperience with Azure Data Factory, Delta Lake, Unity Catalog, or equivalent data governance tools.\n\nFamiliarity with infrastructure-as-code and CI/CD practices for data pipelines (Terraform, Azure DevOps, GitOps).\n\nKnowledge of streaming ingestion patterns, Kafka/Event Hubs, and near-real-time processing.\n\nExperience with metadata platforms and data catalog tools (e.g., Purview, Alation).\n\nExperience with containerization and orchestration (Docker, Kubernetes) is a plus.\n\nBachelor's or advanced degree in Computer Science, Information Systems, Engineering, or related field.\n\nEducation / Experience:\nTechnical bachelor's degree and typically 9 or more years' related work experience or a Master's degree with typically 7 or more years' or a PhD degree with typically 4 or more years' related work experience or an equivalent combination of education and experience. A technical degree is defined as any four year degree, or greater, in a mathematic, scientific or information technology field of study.\nBenefits offered to vary by the contract. Depending on your temporary assignment, benefits may include direct deposit, free career counseling services, 401(k), select paid holidays, short-term disability insurance, skills training, employee referral bonus, affordable medical coverage plan, and DailyPay (in some locations). For a full description of benefits available to you, be sure to talk with your recruiter.\nJob Requirements\nMinimum Security Clearance\nNo Clearance\nVEVRAA Federal Contractor / Request Priority Protected Veteran Referrals / Equal Opportunity Employer / Veterans / Disabled\nTo read our Candidate Privacy Information Statement, which explains how we will use your information, please visit http://www.tadpgs.com/candidate-privacy/ or https://pdsdefense.com/candidate-privacy/\nThe Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:\n\nThe California Fair Chance Act\n\nLos Angeles City Fair Chance Ordinance\n\nLos Angeles County Fair Chance Ordinance for Employers\n\nSan Francisco Fair Chance Ordinance\nVEVRAA Federal Contractor / Request Priority Protected Veteran Referrals / Equal Opportunity Employer / Veterans / Disabled","company":"Pds Defense","rawCompany":"pds defense","city":"Seattle","state":"WA","isRemote":false,"isActive":false,"createdAt":"2026-04-09T10:14:34.518Z","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":"Computing Architect 4","description":"IT/Technical\nComputing Architect 4 Seattle, WA Posted: 4/2/2026\nJob Description\nJob ID#:\n216417\nJob Category\nIT/Technical\nPosition Type\nAssociate - W2\nDuration\n52\nShift\n1\nPDS Defense, Inc. is seeking a Computing Architect 4, in Seattle, WA. Job ID#216417\nPay Rate: $78 - $83/hr\nJob Description:\nBe part of a high performing software engineering organization focused on transforming the aviation training industry through Competency Based Training and Assessment (CBTA) digital solutions.\nIn this role, your responsibility will be to leverage Unified Data Modeling (UDM) to design and govern data models, process layers, transformations, routing, and schema evolution for the datalake built on Azure Databricks and Microsoft Azure. You will map incoming and changing source data to the UDM, manage and define data transformation rules, and collaborate closely with distributed data engineering teams (including team members in India) to implement robust, scalable data pipelines and governance.\nPosition Responsibilities:\n\nDesign, document, and maintain the Unified Data Model (UDM) artifacts and mappings.\n\nModel process layers in the datalake, defining transformation responsibilities and lineage across layers.\n\nDefine and enforce rules for data processing, including routing tables, validation rules, enrichment logic, and error-handling policies.\n\nAuthor and maintain schema definitions, attribute dictionaries, and change management processes for schema evolution.\n\nTranslate business and source system requirements into data transformation specifications to be implemented in Azure Databricks and downstream systems.\n\nCollaborate with data engineers to design performant transformations, partitioning, and storage strategies in the datalake.\n\nReview and approve data pipeline designs, ensuring adherence to UDM, governance, and security policies.\n\nWork with DevOps and engineering teams to operationalize CI/CD for Databricks notebooks, jobs, and infrastructure-as-code.\n\nProvide technical leadership and mentorship to data engineering teams, including remote collaboration with engineers located in India; coordinate design, implementation, and delivery across time zones (may require off-hour work).\n\nEstablish data quality metrics, monitoring, and remediation guidance; ensure traceability and lineage from source to consumption.\n\nParticipate in architecture and design reviews, code reviews, and agile ceremonies; drive best practices for data modeling and transformation.\n\nCommunicate architecture decisions and trade-offs to stakeholders, product owners, and engineering teams.\n\nThis position is On Site.\nDescribe the project/day-to-day activities they will be working on:\nDesigning, improving, communicating, and managing data and data models for training analytics application.\nTechnical/Software Skills needed:\nUnified Data Model (UDM)\nData lakehouse concepts\nBusiness intelligence analytical understanding\nBasic Qualifications (Required Skill/Experience):\n\n9+ years of experience in data architecture, data modeling, or related data engineering roles.\n\nProven experience designing and implementing Unified Data Models (UDM).\n\nStrong expertise in Structured Query Language (SQL)\n\nStrong expertise in data modeling across multiple process layers (raw/ingest, transformed, curated) and defining transformation logic.\n\nDeep understanding of data governance, data lineage, metadata management, and data quality concepts.\n\nDemonstrated experience with Databricks and building/architecting datalake solutions.\n\nExperience defining schema evolution processes, new attribute definitions, and backward-compatible changes.\n\nExperience authoring route tables, processing rules, and data routing/ingestion patterns.\n\nExperience collaborating with geographically distributed engineering teams and willingness to work off hours to coordinate with teams in India.\n\nStrong communication, documentation, and stakeholder engagement skills.\n\nPreferred Qualifications (Desired Skills/Experience):\n\nPrior experience in aviation, training analytics, or related operational data domains.\n\nExperience with Azure Data Factory, Delta Lake, Unity Catalog, or equivalent data governance tools.\n\nFamiliarity with infrastructure-as-code and CI/CD practices for data pipelines (Terraform, Azure DevOps, GitOps).\n\nKnowledge of streaming ingestion patterns, Kafka/Event Hubs, and near-real-time processing.\n\nExperience with metadata platforms and data catalog tools (e.g., Purview, Alation).\n\nExperience with containerization and orchestration (Docker, Kubernetes) is a plus.\n\nBachelor's or advanced degree in Computer Science, Information Systems, Engineering, or related field.\n\nEducation / Experience:\nTechnical bachelor's degree and typically 9 or more years' related work experience or a Master's degree with typically 7 or more years' or a PhD degree with typically 4 or more years' related work experience or an equivalent combination of education and experience. A technical degree is defined as any four year degree, or greater, in a mathematic, scientific or information technology field of study.\nBenefits offered to vary by the contract. Depending on your temporary assignment, benefits may include direct deposit, free career counseling services, 401(k), select paid holidays, short-term disability insurance, skills training, employee referral bonus, affordable medical coverage plan, and DailyPay (in some locations). For a full description of benefits available to you, be sure to talk with your recruiter.\nJob Requirements\nMinimum Security Clearance\nNo Clearance\nVEVRAA Federal Contractor / Request Priority Protected Veteran Referrals / Equal Opportunity Employer / Veterans / Disabled\nTo read our Candidate Privacy Information Statement, which explains how we will use your information, please visit http://www.tadpgs.com/candidate-privacy/ or https://pdsdefense.com/candidate-privacy/\nThe Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:\n\nThe California Fair Chance Act\n\nLos Angeles City Fair Chance Ordinance\n\nLos Angeles County Fair Chance Ordinance for Employers\n\nSan Francisco Fair Chance Ordinance\nVEVRAA Federal Contractor / Request Priority Protected Veteran Referrals / Equal Opportunity Employer / Veterans / Disabled","datePosted":"2026-04-09T10:14:34.518Z","dateModified":"2026-04-09T10:14:34.518Z","hiringOrganization":{"@type":"Organization","name":"Pds Defense","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Seattle","addressRegion":"WA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"2ed17ddd20876e7dc05abd19"},"url":"https://jobsearcher.com/jobs/2ed17ddd20876e7dc05abd19"}}