Job Family:Data Engineering & Architecture Consulting
Travel Required:Up to 25%
Clearance Required:Ability to Obtain Public Trust
What You Will Do:- Lead the design, development, and deployment of data integration solutions within Palantir Foundry and related data platforms.
- Architect and implement end-to-end data pipelines, including ingestion, transformation, validation, and delivery of structured and unstructured data.
- Develop and maintain ontology models, data schemas, and relationships to support analytics, search, and operational use cases.
- Integrate data across multiple systems and platforms (e.g., cloud storage, APIs, analytics environments) using scalable and secure patterns.
- Collaborate with cross-functional teams (data engineering, analytics, product, and security) to ensure seamless system interoperability and data consistency.
- Implement data validation, quality assurance, and governance processes (e.g., completeness checks, schema validation, metadata integrity).
- Support development of AI-enabled capabilities (e.g., semantic search, entity resolution, analytics) by enabling high-quality, well-structured data pipelines.
- Operate within an Agile delivery model, contributing to sprint planning, backlog refinement, user story development, and iterative delivery of technical solutions.
- Translate business and mission needs into technical requirements and scalable integration designs.
- Ensure compliance with security, privacy, and audit requirements, including role-based access controls, logging, and data protection standards.
- Drive technical design decisions, mentor junior engineers, and act as a technical lead within a matrixed team environment.
What You Will Need:- U.S. Citizenship is required
- Bachelor's degree is required
- Minimum FIVE (5) years of experience in data engineering, system integration, or platform engineering roles.
- Strong hands-on experience with Palantir Foundry (required), including:
- Building and managing data pipelines
- Ontology/data model development and relationship mapping
- Integration of data across multiple systems
- Experience with Palantir AIP (Artificial Intelligence Platform) (required), including development or support of AI-enabled workflows (e.g., search, analytics, decision support).
- Experience integrating Palantir with AWS cloud services, including S3-based ingestion, APIs, and serverless/data processing services (e.g., Lambda, Glue).
- Experience working with Databricks and Apache Spark for scalable data transformation, enrichment, and analytics workflows.
- Proficiency in Python, Java, or Scala, and strong SQL skills for data transformation and querying.
- Experience working with both structured and unstructured data (e.g., documents, images) to support analytics or AI use cases.
- Strong understanding of data modeling, schema alignment, and metadata management across integrated systems.
- Experience implementing data quality, validation, and governance controls.
- Familiarity with cloud security and access controls, including IAM, encryption, and audit logging.
- Proven ability to lead technical workstreams, mentor junior staff, and collaborate across cross-functional and matrixed teams.
What Would Be Nice To Have:- Advanced experience with Palantir Foundry, including pipeline optimization, ontology design, and performance tuning at scale.
- Deep experience with Palantir AIP, including development of AI-driven workflows (e.g., semantic search, entity resolution, decision-support applications).
- Experience designing and implementing end-to-end Palantir architectures across enterprise environments.
- Experience integrating Palantir with Databricks and AWS in production environments, including complex data exchange and processing patterns.
- Experience building AI/ML-enabled data products, particularly those leveraging unstructured data (e.g., NLP, document processing, image-based analytics).
- Previous experience working with federal agencies or government environments, including familiarity with security, compliance, and data governance requirements.
- Experience working in a consulting environment and/or delivering solutions in a matrixed organization.
- Experience supporting training, user enablement, and scaling of technical capabilities across teams or organizations.
- Familiarity with ontology-driven applications, graph-based data modeling, and relationship analytics.
- Experience implementing role-based access control (RBAC) and auditability within Palantir or similar platforms.
- Relevant certifications (e.g., Palantir Foundry, AWS, Databricks) or equivalent demonstrated expertise.
The annual salary range for this position is $130,000.00-$216,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.
What We Offer:Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.
Benefits include:
- Medical, Rx, Dental & Vision Insurance
- Personal and Family Sick Time & Company Paid Holidays
- Position may be eligible for a discretionary variable incentive bonus
- Parental Leave and Adoption Assistance
- 401(k) Retirement Plan
- Basic Life & Supplemental Life
- Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
- Short-Term & Long-Term Disability
- Student Loan PayDown
- Tuition Reimbursement, Personal Development & Learning Opportunities
- Skills Development & Certifications
- Employee Referral Program
- Corporate Sponsored Events & Community Outreach
- Emergency Back-Up Childcare Program
- Mobility Stipend
