This position will support the company’s modern data platform, Unified Data Layer, focusing on data pipeline development and maintenance, data platform design, documentation, and user training. The goal is to ensure seamless access to data for all levels of the organization, empowering decision-makers with clean, reliable data.
Essential Functions
Provide architectural oversight for the company’s data platform and related initiatives, ensuring alignment with company standards and best practices
Assist development initiatives with design reviews, offering guidance on architecture and data modeling
Lead design reviews for proposed solutions, including data sourcing, data pipelines, data models, and ontology resources, providing actionable feedback to enhance design scalability
Assist and develop architectural artifacts, perform requirements decomposition, and develop other documentation to support the software development lifecycle (SDLC)
Support the SDLC process by participating in data architecture review sessions, reviewing proposed solutions for compliance with architectural standards
Oversee and provide guidance for data pipelines, ensuring scalability, reusability, and performance
Utilize Palantir Foundry to perform data integration and ontology management to support big data analytics at scale
Collaborate with cross-functional teams to define data governance, metadata, and ontology standards, ensuring consistency and clarity across the data platform and enterprise
Remain current with emerging data technologies and frameworks to recommend improvements to the data platform architecture
Qualifications
Bachelor’s Degree and minimum 12 years prior Palantir experience or Graduate Degree and a minimum of 10 years of prior Palantir experience In lieu of degree, minimum 16 years of prior Palantir experience
5+ years of experience as a data architect or in a senior data engineering role, ideally supporting enterprise-scale data and analytics platforms
4+ years of experience with Data Pipeline development or ETL tools such as Palantir Foundry, Azure Data Factory, SSIS or Python
5+ Years of overall Data Integration experience in Palantir Foundry or similar data integration tools
Preferred Additional Skills
Experience architecting Palantir Foundry platforms to enable Generative AI capabilities, including Retrieval-Augmented Generation (RAG), semantic search, and LLM integration
Hands on experience with design, development of Data Pipelines in Palantir Foundry Pipeline Builder or Code Repository, or similar technologies leveraging PySpark and Spark SQL
Experience with Palantir Foundry tools such as Ontology Manager, Compass, Code Repository, Solution Designer, OSDK, AI FDE, and AIP Analyst
Demonstrated understanding of how Foundry's Ontology, operational workflows, and governed data assets enable AI-driven business and manufacturing solutions
Familiarity with SDLC processes and architecture review or data governance board processes
Understanding of BI (Business Intelligence) & DW (Data Warehouse) development methodologies
Experience with Python, Pandas, Databricks, JavaScript, Typescript or other scripting languages
Experience with AI tools such as OpenAI, Palantir AIP, Snowflake Cortex, or similar
In compliance with pay transparency requirements, the salary range for this role in California, Connecticut, Massachusetts, New Jersey, Washington, and the Greater D.C, Denver, or NYC areas is $153,000-$284,000. The salary range for this role in Colorado state, Hawaii, Illinois, Maine, Maryland, Minnesota, New York state, Vermont and Virginia is $133,000-$247,000. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements.
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L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law.
Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information.
By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions.
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