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
To be eligible, applicants must be pursuing a Bachelor’s degree in Information Technology, Computer Engineering, Computer Science or related field or have completed their Bachelor’s degree within the last 12 months, regardless of age.
Preferred Additional Skills
Experience supporting or implementing solutions that leverage Generative AI capabilities, including Retrieval-Augmented Generation (RAG), semantic search, and LLM integration
Experience with Palantir Foundry tools such as Ontology Manager, Compass, Code Repository, Solution Designer, OSDK, AI FDE, and AIP Analyst
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
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
Familiarity with SDLC processes and architecture review or data governance board processes
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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