资深数据工程师
Principal, Data Engineer
L3Harris致力于招募和培养高绩效人才,他们对所从事的工作充满热情。我们的员工在共同致力于客户使命和职业成长方面保持一致。L3Harris提供一个包容、富有成效的环境,旨在赋能员工并促进工作与生活的成功。我们文化的核心是坚定不移的价值观、对社区的奉献以及对每项工作的卓越承诺。
L3Harris是国防科技领域的值得信赖的颠覆者。始终铭记客户的任务关键需求,我们的员工提供端到端的技术解决方案,将空间、空中、陆地、海上和网络领域连接起来,以维护国家安全。
**职位名称:** 首席数据工程师
**职位代码:** 41066
**工作地点:** 墨尔本,佛罗里达州;或远程机会
**工作时间表:** 9/80:员工每14天工作9天,总计80小时,每隔周五休息
**职位描述:**
L3Harris企业数据与AI团队正在寻找一位具有管理企业级数据生命周期流程经验的数据架构师。该职位将在塑造我们的数据架构方面发挥关键作用,确保系统的完整性、可扩展性和效率。这包括监督数据ETL/ELT管道,确保符合数据和架构标准,维护数据框架,并确保在我们的本体论或语义层中实现数据整合。该人选将与开发团队紧密合作,在Palantir Foundry中设计、审查和实施高质量的数据解决方案。
该职位将支持公司的现代数据平台——统一数据层,重点在于数据管道的开发和维护、数据平台设计、文档编写和用户培训。目标是确保组织各层级都能无缝访问数据,使决策者获得干净、可靠的数据。
**主要职责:**
- 为公司的数据平台及相关项目提供架构监督,确保符合公司标准和最佳实践
- 在开发项目中提供设计评审,就架构和数据建模提供建议
- 主导拟议解决方案的设计评审,包括数据来源、数据管道、数据模型和本体资源,提供可操作的反馈以提高设计的可扩展性
- 协助并开发架构文档,执行需求
查看英文原文
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers’ mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do.
L3Harris is the Trusted Disruptor in defense tech. With customers’ mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security.
**Job Title:** Principal, Data Engineer
**Job Code:** 41066
**Job Location:** Melbourne, FL; or Remote Opportunity
**Job Schedule:** 9/80: Employees work 9 out of every 14 days – totaling 80 hours worked – and have every other Friday off
**Job Description:**
L3Harris Enterprise Data and AI team is seeking a Data Architect with experience in managing enterprise-level data life cycle processes. This individual will play a critical role in shaping our data architecture, ensuring the integrity, scalability, and efficiency of our systems. This includes overseeing data ETL/ELT pipelines, ensuring adherence to data and architectural standards, maintaining data frameworks, and ensuring data consolidation in our ontology or semantic layer. The selected individual will partner closely with development teams to design, review, and implement high quality data solutions within Palantir Foundry.
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:**
- 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 architecting Palantir Foundry platforms to enable 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
- 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, 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, Maryland, Minnesota, New York state, and Vermont 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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