Palantir Foundry Developer, Senior

Booz Allen Hamilton•Lexington Park, MD
•$86,900 - $198,000•Hybrid

About The Position

Booz Allen is seeking a senior Palantir Foundry Developer to design and maintain enterprise data solutions that connect disparate data sources, support operational decision-making, and enable analytics at scale. The role involves collaborating with business stakeholders, engineers, and data teams to define data structures, establish governance standards, optimize data flows, and translate operational requirements into reliable, user-focused solutions. The developer will help drive platform adoption by improving data accessibility and integrity and delivering capabilities that support mission and business objectives. Using Palantir Foundry, Python, SQL, Spark, Git, cloud-based data platforms, and enterprise data integration tools, the role develops scalable data solutions, integrates and transforms complex sources, builds operational applications, and delivers analytics. The developer 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 position contributes to enterprise data modernization, operational analytics, and AI-enabled decision support. The position is hybrid and based in Lexington Park, Maryland. Applicants must be able to obtain a Secret clearance and may be subject to a security investigation and eligibility requirements for classified information access.

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, translate business requirements into technical implementations, 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, or a Data Engineering certification.

Nice To Haves

  • Experience implementing large-scale Palantir Foundry deployments supporting 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.
  • Secret clearance.
  • Palantir Foundry, Cloud Solution Architecture, or Advanced Data Engineering certification.

Responsibilities

  • Design and maintain enterprise data solutions that connect disparate sources and support operational decision-making and analytics at scale.
  • Collaborate with stakeholders, engineers, and data teams to define data structures and governance standards and optimize data flows.
  • Translate operational and business requirements into reliable, user-focused technical solutions.
  • Improve data accessibility and integrity to support platform adoption and mission and business objectives.
  • Develop scalable data solutions, integrate and transform complex data sources, build operational applications, and deliver analytics.
  • Guide a team in designing, defining, developing, and testing cloud solution components.
  • Act as a liaison between clients and developers to ensure requirements are met and solutions are delivered.
  • Establish processes and contribute to technological innovation in enterprise data modernization and operational analytics.

Benefits

  • Health, life, disability, 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.
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