{"schemaVersion":"jobsearcher.job.v1","id":"539b7f974a665dbb64368f29","url":"https://jobsearcher.com/jobs/539b7f974a665dbb64368f29","canonicalUrl":"https://jobsearcher.com/jobs/539b7f974a665dbb64368f29","title":"Data Engineer","description":"Overview The Data Engineer designs, builds, and supports the data pipelines, integrations, and curated datasets that power analytics, reporting, and AI initiatives for PBK's Architecture vertical and broader AEC operations. This role owns integrations across enterprise platforms, including Salesforce, Deltek Vantagepoint, Autodesk data sources, Azure, and Microsoft Fabric. The Data Engineer ensures data is reliable, governed, secure, and available to support business visibility, project delivery, automation, and decision-making.\r\nResponsibilities Design, build, operate, and support ETL/ELT pipelines and integrations across enterprise systems, including Salesforce, Deltek Vantagepoint, Autodesk data sources, Azure, and Microsoft Fabric.\r\nImplement data models, curated datasets, Lakehouse/Warehouse structures, and transformation layers to support BI, reporting, AI, and machine learning use cases.\r\nBuild and support API-first data services, data contracts, and integration workflows using REST, JSON, SOAP where applicable, webhooks, and related patterns.\r\nDevelop orchestration and scheduling processes using Microsoft Fabric Data Pipelines, Azure Data Factory, Azure Logic Apps, Functions, Spark notebooks, dbt, or similar tools.\r\nApply event-driven integration patterns using Event Grid, Service Bus, Kafka concepts, or similar technologies where appropriate.\r\nOwn operational reliability of pipelines and integrations, including monitoring, alerting, incident response, troubleshooting, root-cause analysis, and remediation.\r\nImplement data quality checks, validation, lineage, documentation, and governance practices to ensure data is accurate, trusted, and usable.\r\nPartner with analytics, application, IT/Security, and business teams to support secure access, data governance, compliance, and reliable data delivery.\r\nSupport AI initiatives by preparing reliable datasets, including AI/ML pipelines or RAG-oriented datasets where applicable.\r\nUse AI tools responsibly to improve productivity, accelerate development, support testing, and improve documentation while maintaining security and quality standards.\r\nQualifications 5+ years of experience designing, building, and operating production data pipelines and integrations.\r\nBachelor's degree in Computer Science, Data Engineering, Information Systems, Engineering, or a related field; or equivalent experience, certifications, or training.\r\nStrong SQL skills and experience with PostgreSQL or similar relational databases.\r\nProficiency in Python for data engineering, automation, and workflow development.\r\nHands-on experience with Microsoft Azure data services and Microsoft Fabric, or equivalent cloud data platforms.\r\nExperience with ETL/ELT pipelines, data modeling, curated datasets, orchestration, and production data workflows.\r\nStrong experience with APIs and integration patterns, including REST, webhooks, authentication, error handling, retry strategies, and cross-system data movement.\r\nFamiliarity with SDLC and CI/CD for data workflows using GitHub Enterprise, Azure DevOps, or similar tools.\r\nStrong understanding of security, data governance, access controls, and secure handling of sensitive business information.\r\nAbility to communicate clearly with technical and non-technical stakeholders in an AEC or similar business environment.\r\nOperational discipline with the ability to maintain, monitor, troubleshoot, and improve mission-critical data flows over time.\r\nHow You'll Stand Out Experience integrating enterprise platforms such as Salesforce, Deltek Vantagepoint, Autodesk Forma, Autodesk data management services, Microsoft 365, or similar systems.\r\nExperience with Azure Logic Apps, Azure Functions, MuleSoft, Databricks, Snowflake, or other iPaaS/middleware and cloud data platforms.\r\nExperience with dbt, Airflow, Databricks Workflows/Jobs, Fabric notebooks, Spark, or similar transformation and orchestration frameworks.\r\nExperience with streaming or event-driven integrations using Event Grid, Service Bus, Kafka concepts, or similar technologies.\r\nExperience with Power BI semantic models, performance optimization, and BI-ready dataset design.\r\nExperience supporting AI/ML pipelines, RAG-oriented datasets, or data products used in AI-enabled workflows.\r\nStrong integration owner mindset with the ability to build solutions that are maintainable, observable, secure, and supportable.\r\nBusiness-oriented approach with a focus on data outcomes that improve delivery, visibility, automation, and decision-making.\r\nSalary range for this position is $110,930.00 - $166,395.00.\r\nPBK is an Equal Employment Opportunity employer. All qualified applicants can be considered for an opportunity without regard to sex, gender identity, sexual orientation, race, color, religious creed, national origin, physical or mental disability, protected veteran status, criminal history, or any other characteristic protected by law. Additionally, it is our policy to provide equal employment opportunity in all phases of employment in compliance with all applicable federal and state laws, rules and regulations.\r\nJ-18808-Ljbffr","company":"Wolfflangchristopher Architects","rawCompany":"wolfflangchristopher architects","city":"Berkeley","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-08-08T00:48:30.208Z","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 Engineer","description":"Overview The Data Engineer designs, builds, and supports the data pipelines, integrations, and curated datasets that power analytics, reporting, and AI initiatives for PBK's Architecture vertical and broader AEC operations. This role owns integrations across enterprise platforms, including Salesforce, Deltek Vantagepoint, Autodesk data sources, Azure, and Microsoft Fabric. The Data Engineer ensures data is reliable, governed, secure, and available to support business visibility, project delivery, automation, and decision-making.\r\nResponsibilities Design, build, operate, and support ETL/ELT pipelines and integrations across enterprise systems, including Salesforce, Deltek Vantagepoint, Autodesk data sources, Azure, and Microsoft Fabric.\r\nImplement data models, curated datasets, Lakehouse/Warehouse structures, and transformation layers to support BI, reporting, AI, and machine learning use cases.\r\nBuild and support API-first data services, data contracts, and integration workflows using REST, JSON, SOAP where applicable, webhooks, and related patterns.\r\nDevelop orchestration and scheduling processes using Microsoft Fabric Data Pipelines, Azure Data Factory, Azure Logic Apps, Functions, Spark notebooks, dbt, or similar tools.\r\nApply event-driven integration patterns using Event Grid, Service Bus, Kafka concepts, or similar technologies where appropriate.\r\nOwn operational reliability of pipelines and integrations, including monitoring, alerting, incident response, troubleshooting, root-cause analysis, and remediation.\r\nImplement data quality checks, validation, lineage, documentation, and governance practices to ensure data is accurate, trusted, and usable.\r\nPartner with analytics, application, IT/Security, and business teams to support secure access, data governance, compliance, and reliable data delivery.\r\nSupport AI initiatives by preparing reliable datasets, including AI/ML pipelines or RAG-oriented datasets where applicable.\r\nUse AI tools responsibly to improve productivity, accelerate development, support testing, and improve documentation while maintaining security and quality standards.\r\nQualifications 5+ years of experience designing, building, and operating production data pipelines and integrations.\r\nBachelor's degree in Computer Science, Data Engineering, Information Systems, Engineering, or a related field; or equivalent experience, certifications, or training.\r\nStrong SQL skills and experience with PostgreSQL or similar relational databases.\r\nProficiency in Python for data engineering, automation, and workflow development.\r\nHands-on experience with Microsoft Azure data services and Microsoft Fabric, or equivalent cloud data platforms.\r\nExperience with ETL/ELT pipelines, data modeling, curated datasets, orchestration, and production data workflows.\r\nStrong experience with APIs and integration patterns, including REST, webhooks, authentication, error handling, retry strategies, and cross-system data movement.\r\nFamiliarity with SDLC and CI/CD for data workflows using GitHub Enterprise, Azure DevOps, or similar tools.\r\nStrong understanding of security, data governance, access controls, and secure handling of sensitive business information.\r\nAbility to communicate clearly with technical and non-technical stakeholders in an AEC or similar business environment.\r\nOperational discipline with the ability to maintain, monitor, troubleshoot, and improve mission-critical data flows over time.\r\nHow You'll Stand Out Experience integrating enterprise platforms such as Salesforce, Deltek Vantagepoint, Autodesk Forma, Autodesk data management services, Microsoft 365, or similar systems.\r\nExperience with Azure Logic Apps, Azure Functions, MuleSoft, Databricks, Snowflake, or other iPaaS/middleware and cloud data platforms.\r\nExperience with dbt, Airflow, Databricks Workflows/Jobs, Fabric notebooks, Spark, or similar transformation and orchestration frameworks.\r\nExperience with streaming or event-driven integrations using Event Grid, Service Bus, Kafka concepts, or similar technologies.\r\nExperience with Power BI semantic models, performance optimization, and BI-ready dataset design.\r\nExperience supporting AI/ML pipelines, RAG-oriented datasets, or data products used in AI-enabled workflows.\r\nStrong integration owner mindset with the ability to build solutions that are maintainable, observable, secure, and supportable.\r\nBusiness-oriented approach with a focus on data outcomes that improve delivery, visibility, automation, and decision-making.\r\nSalary range for this position is $110,930.00 - $166,395.00.\r\nPBK is an Equal Employment Opportunity employer. All qualified applicants can be considered for an opportunity without regard to sex, gender identity, sexual orientation, race, color, religious creed, national origin, physical or mental disability, protected veteran status, criminal history, or any other characteristic protected by law. Additionally, it is our policy to provide equal employment opportunity in all phases of employment in compliance with all applicable federal and state laws, rules and regulations.\r\nJ-18808-Ljbffr","datePosted":"2026-08-08T00:48:30.208Z","dateModified":"2026-08-08T00:48:30.208Z","hiringOrganization":{"@type":"Organization","name":"Wolfflangchristopher Architects","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Berkeley","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"539b7f974a665dbb64368f29"},"url":"https://jobsearcher.com/jobs/539b7f974a665dbb64368f29"}}