Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

Tailor your resume to this Palantir Data Pipeline & Metadata Lead role.

Rezi rewrites your resume against Guidehouse's job description. Free.

Resume score gauge reading 58 out of 100

Don't guess if your resume is good enough.

See how it scores against the Palantir Data Pipeline & Metadata Lead posting at Guidehouse — free, in seconds.

About the Role

This role serves as a senior technical leader responsible for establishing and scaling the data pipeline and metadata foundation that enables enterprise analytics, AI-driven capabilities, and system integration. The ideal candidate combines deep, demonstrable Palantir (including AIP) expertise, strong data architecture and governance experience, and the ability to lead teams and grow capabilities in complex, regulated environments.

Responsibilities

Lead the design, development, and governance of enterprise data pipelines and metadata frameworks within Palantir Foundry and integrated data platforms.
Serve as the 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 (e.g., Palantir, Databricks).
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.
Ensure pipelines effectively support document-based ingestion workflows, including integration with OCR/ICR outputs and downstream metadata extraction processes.
Enable AI-ready data foundations, supporting downstream capabilities such as semantic search, entity resolution, and advanced analytics.
Partner with data science and engineering teams to ensure data pipelines and metadata 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 (e.g., 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 across workstreams.

Requirements

U.S. Citizenship required and ability to obtain and maintain a Public Trust clearance.
Demonstrated, hands-on expertise in Palantir Foundry (required), including: Designing and implementing production-grade data pipelines, Developing ontologies, data models, and relationship mappings, Integrating data across multiple enterprise systems.
Demonstrated experience with Palantir AIP (required), including enabling AI-driven workflows (e.g., 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 and analytics.
Expertise in metadata management and data governance, including: Data dictionaries and controlled vocabularies, Data lineage and traceability, Schema versioning and change management.
Experience implementing data quality frameworks, including validation rules, exception handling, and reconciliation processes.
Proficiency in Python, SQL, and/or other relevant languages for data pipeline development.
Experience designing systems that support AI/ML and analytics use cases, including unstructured data and document processing pipelines (e.g., OCR/ICR outputs).
Experience delivering complex solutions in an Agile environment.

Skills

Palantir Foundry
Palantir AIP
Data Architecture
Data Governance
Data Pipelines
Metadata Management
Cloud Environments (AWS preferred)
Databricks
Spark
Python
SQL
AI/ML
Document Processing Pipelines
OCR/ICR
Agile

Location

Up to 10% travel

Work Type

Full-time

Experience Level

EIGHT (8) or more years of experience in data engineering, data architecture, or platform integration, with increasing leadership responsibility.
Senior technical leader

Education Level

Bachelor’s degree

Salary/Compensations

$113,000.00-$188,000.00

Benefits

Medical, Rx, Dental & Vision Insurance
Personal and Family Sick Time & Company Paid Holidays
Parental Leave
401(k) Retirement Plan
Group Term Life and Travel Assistance
Voluntary Life and AD&D Insurance
Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts
Transit and Parking Commuter Benefits
Short-Term & Long-Term Disability
Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities
Employee Referral Program
Corporate Sponsored Events & Community Outreach
Care.com annual membership
Employee Assistance Program
Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)
Position may be eligible for a discretionary variable incentive bonus

About the Company

Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.
Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.
If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.
All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.
If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties.
Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

Equal Opportunity

Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.
Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.