{"schemaVersion":"jobsearcher.job.v1","id":"a24fc247146da8207ef781fa","url":"https://jobsearcher.com/jobs/a24fc247146da8207ef781fa","canonicalUrl":"https://jobsearcher.com/jobs/a24fc247146da8207ef781fa","title":"Data Engineer / Architect – Databricks & dbt","description":"Remote\n Contract (1 year 1 month 23 days)\n Published 8 minutes ago\nDatabricks certification\ndata modeling\nperformance optimization\nSQL\nDevOps & CI/CD\ndatabricks\ndata lineage\ndelta lake\n\nWe are looking for an experienced Data Engineer/Architect with strong hands-on expertise in Databricks and dbt (Data Build Tool) to support the implementation of enterprise data pipelines on a modern cloud-based data platform.\n\nThe role will be responsible for defining and implementing scalable data engineering patterns using Databricks and dbt, establishing development standards and reusable frameworks, and providing hands-on technical guidance to the data engineering team. The candidate will work closely with architecture, DevOps, Data Governance, and delivery teams to ensure solutions are scalable, maintainable, and aligned with enterprise standards.\n\nKey Responsibilities:\n\nDefine the technical architecture and implementation patterns for dbt-based data transformations on Databricks.\n\nDesign and develop scalable curated and consumption-layer data pipelines using Databricks and dbt.\n\nEstablish dbt project structure, model organization, dependencies, naming conventions, coding standards, and reusable development patterns.\n\nDefine and implement appropriate usage of dbt models, sources, tests, macros, snapshots, incremental models, packages, and documentation.\n\nDesign efficient transformation patterns leveraging Databricks, Delta Lake, Spark SQL, and PySpark.\n\nEstablish reusable and standardized pipeline development patterns for adoption across the engineering team.\n\nWork with architecture teams to ensure implementation aligns with enterprise architecture, governance, security, and data-platform standards.\n\nProvide hands-on development support and technical guidance to Data Engineers.\n\nReview existing data transformation and pipeline patterns and determine the appropriate implementation using Databricks and dbt.\n\nDefine data quality, reconciliation, testing, logging, monitoring, and error-handling approaches.\n\nDesign and implement appropriate incremental data-processing strategies.\n\nSupport performance optimization and troubleshooting of dbt models and Databricks workloads.\n\nWork with DevOps teams to integrate dbt and Databricks development into the enterprise CI/CD framework.\n\nSupport orchestration and scheduling integration with Databricks Workflows and enterprise scheduling platforms.\n\nConduct technical design reviews and code reviews and ensure adherence to defined engineering standards.\n\nSupport testing, deployment, production readiness, and troubleshooting activities.\n\nDevelop reusable templates, frameworks, utilities, and implementation guidelines to accelerate development.\n\nPrepare technical documentation and provide knowledge transfer to engineering and support teams.\n\nMentor Data Engineers and provide technical leadership throughout design, development, testing, and deployment.\n\nRequired Skills & Experience:\n\n8+ years of experience in Data Engineering, Data Architecture, or related areas.\n\nStrong hands-on experience with Databricks.\n\nStrong hands-on experience implementing enterprise data solutions using dbt.\n\nStrong understanding of dbt models, sources, macros, tests, snapshots, incremental models, packages, and documentation.\n\nStrong programming and development skills in SQL, Spark SQL, and PySpark.\n\nStrong experience with Delta Lake and Databricks data-engineering capabilities.\n\nExperience designing and implementing Medallion Architecture / multi-layered data platforms.\n\nStrong understanding of logical and physical data modeling concepts.\n\nExperience building scalable, reusable, and metadata-driven data-engineering solutions.\n\nExperience implementing data-quality, validation, reconciliation, lineage, monitoring, and observability capabilities.\n\nStrong understanding of CI/CD and DevOps practices for dbt and Databricks.\n\nExperience with Git-based source control and automated deployment processes.\n\nStrong understanding of performance optimization and troubleshooting of large-scale data pipelines.\n\nAbility to translate architecture standards and business requirements into practical engineering solutions.\n\nExperience conducting technical design and code reviews.\n\nAbility to mentor and provide technical direction to Data Engineers.\n\nStrong analytical, problem-solving, communication, and stakeholder-management skills.\n\nPreferred Skills:\n\nDatabricks certification.\n\ndbt certification or significant production implementation experience.\n\nExperience with AWS-based Databricks environments.\n\nExperience with enterprise data governance, metadata management, lineage, and data-product concepts.\n\nExperience with Control-M or other enterprise workload scheduling/orchestration platforms.\n\nExperience working on large-scale enterprise data-platform transformation programs.\n\nThe pay range that the employer in good faith reasonably expects to pay for this position is $46.23/hour - $72.23/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.\n\nTundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.","company":"Capgemini","rawCompany":"capgemini","city":"Myrtle Point","state":"OR","isRemote":false,"isActive":false,"createdAt":"2026-10-28T11:53:01.719Z","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 / Architect – Databricks & dbt","description":"Remote\n Contract (1 year 1 month 23 days)\n Published 8 minutes ago\nDatabricks certification\ndata modeling\nperformance optimization\nSQL\nDevOps & CI/CD\ndatabricks\ndata lineage\ndelta lake\n\nWe are looking for an experienced Data Engineer/Architect with strong hands-on expertise in Databricks and dbt (Data Build Tool) to support the implementation of enterprise data pipelines on a modern cloud-based data platform.\n\nThe role will be responsible for defining and implementing scalable data engineering patterns using Databricks and dbt, establishing development standards and reusable frameworks, and providing hands-on technical guidance to the data engineering team. The candidate will work closely with architecture, DevOps, Data Governance, and delivery teams to ensure solutions are scalable, maintainable, and aligned with enterprise standards.\n\nKey Responsibilities:\n\nDefine the technical architecture and implementation patterns for dbt-based data transformations on Databricks.\n\nDesign and develop scalable curated and consumption-layer data pipelines using Databricks and dbt.\n\nEstablish dbt project structure, model organization, dependencies, naming conventions, coding standards, and reusable development patterns.\n\nDefine and implement appropriate usage of dbt models, sources, tests, macros, snapshots, incremental models, packages, and documentation.\n\nDesign efficient transformation patterns leveraging Databricks, Delta Lake, Spark SQL, and PySpark.\n\nEstablish reusable and standardized pipeline development patterns for adoption across the engineering team.\n\nWork with architecture teams to ensure implementation aligns with enterprise architecture, governance, security, and data-platform standards.\n\nProvide hands-on development support and technical guidance to Data Engineers.\n\nReview existing data transformation and pipeline patterns and determine the appropriate implementation using Databricks and dbt.\n\nDefine data quality, reconciliation, testing, logging, monitoring, and error-handling approaches.\n\nDesign and implement appropriate incremental data-processing strategies.\n\nSupport performance optimization and troubleshooting of dbt models and Databricks workloads.\n\nWork with DevOps teams to integrate dbt and Databricks development into the enterprise CI/CD framework.\n\nSupport orchestration and scheduling integration with Databricks Workflows and enterprise scheduling platforms.\n\nConduct technical design reviews and code reviews and ensure adherence to defined engineering standards.\n\nSupport testing, deployment, production readiness, and troubleshooting activities.\n\nDevelop reusable templates, frameworks, utilities, and implementation guidelines to accelerate development.\n\nPrepare technical documentation and provide knowledge transfer to engineering and support teams.\n\nMentor Data Engineers and provide technical leadership throughout design, development, testing, and deployment.\n\nRequired Skills & Experience:\n\n8+ years of experience in Data Engineering, Data Architecture, or related areas.\n\nStrong hands-on experience with Databricks.\n\nStrong hands-on experience implementing enterprise data solutions using dbt.\n\nStrong understanding of dbt models, sources, macros, tests, snapshots, incremental models, packages, and documentation.\n\nStrong programming and development skills in SQL, Spark SQL, and PySpark.\n\nStrong experience with Delta Lake and Databricks data-engineering capabilities.\n\nExperience designing and implementing Medallion Architecture / multi-layered data platforms.\n\nStrong understanding of logical and physical data modeling concepts.\n\nExperience building scalable, reusable, and metadata-driven data-engineering solutions.\n\nExperience implementing data-quality, validation, reconciliation, lineage, monitoring, and observability capabilities.\n\nStrong understanding of CI/CD and DevOps practices for dbt and Databricks.\n\nExperience with Git-based source control and automated deployment processes.\n\nStrong understanding of performance optimization and troubleshooting of large-scale data pipelines.\n\nAbility to translate architecture standards and business requirements into practical engineering solutions.\n\nExperience conducting technical design and code reviews.\n\nAbility to mentor and provide technical direction to Data Engineers.\n\nStrong analytical, problem-solving, communication, and stakeholder-management skills.\n\nPreferred Skills:\n\nDatabricks certification.\n\ndbt certification or significant production implementation experience.\n\nExperience with AWS-based Databricks environments.\n\nExperience with enterprise data governance, metadata management, lineage, and data-product concepts.\n\nExperience with Control-M or other enterprise workload scheduling/orchestration platforms.\n\nExperience working on large-scale enterprise data-platform transformation programs.\n\nThe pay range that the employer in good faith reasonably expects to pay for this position is $46.23/hour - $72.23/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.\n\nTundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.","datePosted":"2026-10-28T11:53:01.719Z","dateModified":"2026-10-28T11:53:01.719Z","hiringOrganization":{"@type":"Organization","name":"Capgemini","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Myrtle Point","addressRegion":"OR","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"a24fc247146da8207ef781fa"},"url":"https://jobsearcher.com/jobs/a24fc247146da8207ef781fa"}}