Palantir Data Pipeline & Metadata Lead

About This Opportunity

We are representing a confidential federal consulting organization seeking a Palantir Data Pipeline & Metadata Lead to establish and scale enterprise data foundations that enable analytics, AI-driven capabilities, and system integration in complex, regulated environments.

This senior technical leadership role requires deep Palantir expertise, strong data architecture and governance experience, and the ability to lead cross-functional teams delivering mission-critical data solutions.

Responsibilities

• Lead the design, development, and governance of enterprise data pipelines and metadata frameworks within Palantir Foundry and integrated data platforms
• Serve as technical and functional lead for data ingestion, transformation, and metadata management across structured and unstructured data sources
• Define and enforce metadata standards, data models, ontologies, and data dictionaries to enable scalable search, analytics, and cross-system integration
• Oversee implementation of end-to-end data pipelines, including ingestion, validation, transformation, and delivery into downstream platforms
• Establish and govern data quality, validation, and exception handling processes ensuring completeness, accuracy, and traceability of data assets
• Ensure alignment of pipelines and metadata with enterprise architecture, system-of-record requirements, and integration patterns
• Enable AI-ready data foundations supporting semantic search, entity resolution, and advanced analytics capabilities
• Partner with data science and engineering teams to ensure data pipelines support AI/ML use cases and analytical workflows
• Drive data governance and lifecycle management, including schema versioning, lineage tracking, auditability, and compliance with security and privacy requirements
• Oversee integration across platforms (AWS, Databricks, Palantir), ensuring scalable, secure, and reliable data exchange
• Lead and mentor teams in a matrixed, cross-functional environment, providing technical direction and quality oversight
• Engage with senior stakeholders to define data strategy, prioritize initiatives, and translate business needs into technical solutions
• Operate within an Agile delivery model, overseeing backlog prioritization, technical design reviews, and iterative delivery

What We're Looking For

Required Qualifications:

• U.S. Citizenship required with ability to obtain and maintain Public Trust clearance
• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field
• 8+ years of experience in data engineering, data architecture, or platform integration with increasing leadership responsibility
• Demonstrated hands-on expertise in Palantir Foundry, including designing production-grade data pipelines, developing ontologies and data models, and integrating data across enterprise systems
• Demonstrated experience with Palantir AIP, including enabling AI-driven workflows for search, analytics, or decision-support use cases
• Proven experience leading enterprise-scale Palantir implementations, including architecture, delivery, and governance
• Strong experience designing and managing large-scale data pipelines in cloud environments (AWS preferred)
• Experience integrating Palantir with Databricks and/or Spark-based platforms for advanced data processing
• Expertise in metadata management and data governance, including data dictionaries, lineage, traceability, and schema versioning
• Experience implementing data quality frameworks with validation rules, exception handling, and reconciliation processes
• Proficiency in Python, SQL, and other relevant languages for data pipeline development
• Experience designing systems supporting AI/ML and analytics use cases, including unstructured data and document processing pipelines
• Experience delivering complex solutions in Agile environments

Preferred Qualifications:

• Master's degree in Computer Science, Engineering, Information Systems, or related field
• Experience growing or leading Palantir capabilities within the federal sector, particularly in health or human services domains
• Strong leadership and communication skills with experience managing cross-functional and matrixed teams
• Understanding of data lake/lakehouse architectures (AWS S3, Databricks)
• Experience designing AI-ready data architectures supporting semantic search, entity resolution, and advanced analytics
• Experience with enterprise ML and data platforms (AWS SageMaker, Databricks Machine Learning)
• Familiarity with OCR/ICR pipelines and document intelligence workflows
• Experience implementing data governance frameworks in regulated environments with auditability and compliance controls
• Prior experience working with federal agencies or highly regulated environments
• Consulting experience, including leading client engagements and supporting business development
• Familiarity with graph-based data models, ontology-driven applications, and relationship analytics
• Relevant certifications (Palantir Foundry, AWS, Databricks)

How We Work With You

When you apply through Get A Job.ai, our recruiting team will review your qualifications and schedule a screening conversation with candidates who are a strong match. We then submit qualified candidates to our client for consideration. Please apply exclusively through Get A Job.ai and do not contact the client directly.

This role is based in the United States and requires up to 10% travel.

Pay

Compensation for this role will be determined based on your qualifications, experience, and the client's requirements. Pay details will be discussed during the screening process with our talent team.

Get A Job.ai is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and candidates.