🏢Description
On-site in Falls Church, VA
Our client seeks an experienced Data Platform Architect to provide architectural guidance, technical standards, and operational support for secure, scalable data, analytics, and AI/ML solutions. The role will partner across engineering, data science, analytics, platform, and mission teams to guide implementation in Databricks and Palantir Foundry. The architect will help delivery teams structure data pipelines, data products, analytics and ML workflows, and platform assets for consistency, reuse, governance, supportability, and production readiness. The position requires hands-on guidance in data integration, DataOps, DevOps, MLOps, governance, security, compliance, performance optimization, and platform operations to transition prototypes into reliable production environments.
Due to federal security clearance requirements, applicant must be a United States Citizen with an active Top Secret clearance. This is a contract to hire opportunity. Applicants must be willing and able to work on a w2 basis and convert to FTE following contract duration. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.
Responsibilities
- 🔹Provide hands-on architectural guidance to teams implementing data pipelines, analytics workflows, data products, and AI/ML capabilities in Databricks and Palantir Foundry.
- 🔹Guide selection and implementation of platform-native capabilities for data ingestion, transformation, orchestration, model execution, analytics, and data-product delivery.
- 🔹Advise teams on appropriate use of Databricks, Foundry, and integrated cross-platform architectures.
- 🔹Guide the transition of prototypes and notebook-based solutions into reliable, maintainable production workflows.
- 🔹Establish and maintain technical standards for project structure, code organization, pipeline design, workflow orchestration, testing, metadata, lineage, documentation, and platform implementation.
- 🔹Develop reusable templates, reference architectures, and implementation patterns that improve consistency and accelerate delivery.
- 🔹Promote scalable approaches including medallion architecture, governed data publishing, reusable transformation logic, and shared analytics and ML components.
- 🔹Conduct technical reviews and provide actionable guidance to improve scalability, maintainability, reli…