Palantir Foundry Developer, Senior

Booz Allen Hamilton • Usa, MD

1d

About The Position

Booz Allen is seeking a senior data architect to support its Palantir Foundry implementation team. The role involves designing and maintaining enterprise data solutions that connect disparate data sources, support operational decision-making, and enable analytics at scale. The developer will work with business stakeholders, engineers, and data teams to define data structures, establish governance standards, optimize data flows, and turn operational requirements into reliable, user-focused solutions.

The position uses Palantir Foundry, Python, SQL, Spark, Git, cloud-based data platforms, and enterprise data integration tools to build scalable data solutions, integrate and transform complex data sources, develop operational applications, and deliver analytics. The role also guides a team in designing, defining, developing, and testing cloud solution components, and serves as a liaison between clients and developers to ensure requirements are met. The work supports enterprise data modernization, operational analytics, and AI-enabled decision support.

Applicants must be able to obtain a Secret clearance. Selected applicants will undergo a security investigation and may need to meet eligibility requirements for access to classified information. The annualized projected compensation range is $86,900 to $198,000 USD. The posting is scheduled to close within 90 days of its posting date. Booz Allen describes its work model options as remote, hybrid, and onsite, but does not specify which applies to this position.

Requirements

• At least 5 years of experience in data engineering, data architecture, analytics, or software development.
• At least 2 years of experience designing and implementing enterprise data solutions with Palantir Foundry.
• Knowledge of data integration, data modeling, ETL/ELT processes, cloud architectures, data governance, SQL, Python, Spark, and Foundry applications, including Ontology, Pipeline Builder, Workshop, and operational analytics capabilities.
• Ability to architect scalable data solutions and translate business requirements into technical implementations.
• Ability to lead cross-functional teams, optimize data workflows, and communicate effectively with technical and non-technical stakeholders.
• Ability to obtain a Secret clearance.
• Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or Mathematics.
• Cloud Technologies Certification such as AWS, Azure, or GCP Certification, or Data Engineering Certification.

Nice To Haves

• Experience implementing large-scale Palantir Foundry deployments for operational decision-making, digital transformation initiatives, or mission-critical environments.
• Knowledge of artificial intelligence, machine learning, data lakes, graph-based data modeling, DevSecOps practices, and Foundry AI capabilities.
• Ability to mentor junior engineers, establish architecture standards, lead technical strategy discussions, and identify opportunities for process automation and innovation.
• An active Secret clearance.
• Palantir Foundry, Cloud Solution Architecture, or Advanced Data Engineering Certification.

Responsibilities

• Design and maintain enterprise data solutions that connect disparate data sources and support operational decision-making and analytics at scale.
• Collaborate with business stakeholders, engineers, and data teams to define data structures, establish governance standards, and optimize data flows.
• Translate operational requirements into reliable, user-focused technical solutions.
• Develop scalable data solutions, integrate and transform complex data sources, build operational applications, and deliver analytics using Palantir Foundry and related tools.
• Guide a team as it designs, defines, develops, and tests cloud solution components.
• Serve as a liaison between clients and developers to ensure requirements are met and solutions are delivered.
• Improve data accessibility, ensure data integrity, and support platform adoption and mission and business objectives.
• Lead or support enterprise data modernization, operational analytics, and AI-enabled decision support.

Benefits

• Health, life, and disability benefits.
• Financial and retirement benefits.
• Paid leave.
• Professional development.
• Tuition assistance.
• Work-life programs.
• Dependent care.
• Recognition awards program for exceptional performance and demonstration of company values.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior