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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineering Product Architect - **Company:** Caci Inc - **Location:** United States - **Salary:** $98,500.0 - $206,800.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Airflow, Amazon S3, Automation of Tests, Software Quality, Databases, System Configuration, Continuous Delivery, Continuous Integration, Information Engineering, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Design of User Interfaces, Meta-Data Management, Modular Design, Scrum Methodology, Cloud Services, Software Engineering, Web Services, Enterprise Data Management, Data Ingestion, Data Lakes, Information Technology, Atlassian Tools, Data Analytics, Software Version Control, Data Pipelines, Databricks - **Published:** August 2, 2026 - **Apply:** https://www.clearancejobs.com/jobs/9074620/data-engineering-product-architect ## About the Role * Experience building scalable data-driven services, data ingestion pipelines, and automation workflows, contributing to high-reliability cloud solutions at an enterprise scale * Experience working on complicated problems and providing solutions that are creative, yet practical and feasible * Strong communication and problem-solving skills in dynamic, remote environments * Ability to empathetically work with platform customers (software or data engineering teams) to triage and resolve issues, enable self-service, and introduce improvements based on feedback * Ability to collaborate with data scientists, software engineers, platform engineers, cybersecurity, and product stakeholders to support data platform requirements * Bachelor's or Master's degree in Computer Science, Software Engineering, or a related discipline. Experience will be considered in lieu of a degree * Demonstrated experience working with agile project management tools * Must be able to obtain and maintain a NASA Public Trust background investigation Desired: * Experience supporting the NASA Web Services Operational Environment * Experience working with industry-standard Enterprise Data Platform applications, such as Databricks, Apache Airflow, or similar technologies * Displays tenacity in the face of hard problems and ambiguous requirements * Interest in driving innovation through independent contributions and strategic guidance of a team of software engineers and data scientists. * Experience supporting Federal government project * Ability to design and document technical solutions related to continuous integration and continuous deployment ## Description The Opportunity: CACI's growing Agile Digital Solutions Operating Group is searching for a Data Engineering Product Architect supporting the modernization and transformation of a large portfolio of enterprise business solutions used by the National Aeronautics and Space Administration (NASA). The candidate will be part of a team where complex problem solving, and communication skills are critical to success., * Lead the design, build, optimization, and maintenance of scalable ETL pipelines * Guide the development of normalization and transformation frameworks to standardize disparate datasets for analytics, cybersecurity, and mission operations. * Champion the development of high-quality, modern, and fully reproducible code using established software engineering practices - including version control, modular design, automated testing, documentation, and CI/CD-to ensure reliability, reusability, and maintainability across data pipelines and Databricks workflows. * Mentor and coach team on software engineering design principles to help improve code quality and design by team members over time * Develop solutions within a secure cloud-based architecture leveraging Databricks Lakehouse features (Unity Catalog, Delta Lake, Auto Loader, cluster configuration). * Manage environment setup, version control, deployment, and CI/CD processes for data pipelines and Databricks apps. * Develop and maintain integrations between Databricks and enterprise systems through APIs, S3 ingestion endpoints and database connectors. Collaborate with cross- functional engineering, cybersecurity, and product teams to design and implement features that improve data ingestion, metadata management, automation workflows, and platform usability * Document technical requirements, user stories, and workflow specifications for data integrations and interface development. * Help scrum master and teammates estimate, sequence, and prioritize work to ensure efficient delivery of prioritized development capabilities, * Lead the design, build, optimization, and maintenance of scalable ETL pipelines * Guide the development of normalization and transformation frameworks to standardize disparate datasets for analytics, cybersecurity, and mission operations. * Champion the development of high-quality, modern, and fully reproducible code using established software engineering practices - including version control, modular design, automated testing, documentation, and CI/CD-to ensure reliability, reusability, and maintainability across data pipelines and Databricks workflows. * Mentor and coach team on software engineering design principles to help improve code quality and design by team members over time * Develop solutions within a secure cloud-based architecture leveraging Databricks Lakehouse features (Unity Catalog, Delta Lake, Auto Loader, cluster configuration). * Manage environment setup, version control, deployment, and CI/CD processes for data pipelines and Databricks apps. * Develop and maintain integrations between Databricks and enterprise systems through APIs, S3 ingestion endpoints and database connectors. * Collaborate with cross-functional engineering, cybersecurity, and product teams to design and implement features that improve data ingestion, metadata management, automation workflows, and platform usability * Document technical requirements, user stories, and workflow specifications for data integrations and interface development. * Help scrum master and teammates estimate, sequence, and prioritize work to ensure efficient delivery of prioritized development capabilities. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [WeAreDevelopers LIVE - CSS is DOOMed](https://www.wearedevelopers.com/videos/1838-wearedevelopers-live-css-is-doomed) - [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Hate organising your photos? Try it with 5 Terabytes](https://www.wearedevelopers.com/videos/79-hate-organising-your-photos-try-it-with-5-terabytes) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)