数据工程师负责人
Lead Data Engineer
标准职位描述
加入洛克希德·马丁公司的数据与AI赋能团队,加速公司的人工智能转型。作为首席数据工程师,您将设计、构建并产品化推动AI代理、分析和企业应用的数据资产,这些数据资产将遍布企业数据生态系统(EDE)。此外,您还将领导企业本体的开发、治理和扩展,确保所有数据产品中的一致语义定义和关系。
主要职责
- 领导企业及功能数据模型和管道的端到端开发——从原始数据从源系统获取到黄金层实体——以便它们可以被产品化为经过认证的数据产品。
- 为所有数据资产定义产品愿景、路线图、服务级别协议(SLA)、使用指标和持续改进周期。
- 开发、维护和治理企业本体(概念、关系、分类法),并将其部署用于企业内AI代理和分析应用。
- 确保数据模型提供干净、文档齐全的特征集,用于机器学习管道;与数据科学家合作,嵌入模型就绪属性(特征存储、血缘元数据)。
- 通过Unity Catalog和云IAM实现安全、治理和合规性(加密、细粒度访问、数据血缘)。
- 与团队架构师协作验证设计。
- 通过自动扩展、缓存和Delta Lake调优优化Databricks性能。
- 建立数据产品和本体资产的标准、最佳实践和认证流程。
- 通过代码审查、现场研讨会、配对编程和明确的成长路径/能力矩阵,指导和培养工程人才。
- 就团队运营所使用的技术栈提供建议。
基本要求
- 计算机科学、系统工程、信息管理或相关领域的学士学位(或更高)。
- 具有7年以上大规模数据架构/工程经验,其中至少4年专注于为企业消费产品化数据资产。
- 在开发本体方面有丰富经验。
- 能够深入挖掘并理解核心客户需求,而非表面需求。
- 强大的Python和SQL编程技能;熟练使用Spark(PySpark/Scala),并有丰富的AI辅助开发经验。
- 具有数据集成/编排工具(如NiFi、Airflow)用于管道开发的经验。
查看英文原文
Standard Job Description
Join Lockheed Martin’s Data & AI Enablement organization and accelerate the company’s AI transformation. As a lead data engineer, you will design, build, and productize data assets that power AI agents, analytics, and enterprise applications across the Enterprise Data Ecosystem (EDE). In addition, you will lead the development, governance, and expansion of the enterprise ontology, ensuring consistent semantic definitions and relationships across all data products.
Key Responsibilities
- Lead end‑to‑end development of corporate and functional data models and pipelines – from raw data ingestion from source systems to gold-layer entities - so that they can be productized as certified data products.
- Define product vision, roadmap, SLAs, usage metrics, and continuous‑improvement cycles for all data assets.
- Develop, maintain, and govern the Enterprise ontology (concepts, relationships, taxonomies) and deploy it for use by AI agents and analytics applications across the corporation.
- Ensure data models deliver clean, well‑documented feature sets for machine‑learning pipelines; work with data scientists to embed model‑ready attributes (feature stores, lineage metadata).
- Implement security, governance, and compliance (encryption, fine‑grained access, data lineage) via Unity Catalog and cloud IAM
- Collaborate with team architects to validate designs.
- Optimize Databricks performance with auto‑scaling, caching, and Delta Lake tuning.
- Establish standards, best practices, and certification processes for data products and ontology assets.
- Mentor and develop engineering talent through code reviews, hands‑on workshops, paired‑programming, and defined growth paths/competency matrices.
- Advise on the technology stack used in team operations.
Basic Qualifications
- Bachelor’s (or higher) in Computer Science, Systems Engineering, Information Management, or a related field.
- 7 + years of large-scale data architecture/engineering experience, with at least 4 years focused on productizing data assets for enterprise consumption.
- Significant experience developing ontologies.
- Demonstrated ability to probe for and understand core customer needs as opposed to surface-level needs.
- Strong programming skills in Python and SQL; proficient with Spark (PySpark/Scala) and deep experience with AI-assisted development..
- Experience with data‑integration/orchestration tools (e.g., NiFi, Airflow) for pipeline development.
- Must be a US citizen.
Desired Skills
- Experience with Databricks (Delta Lake, Unity Catalog, Jobs/Workflows).
- Experience with federated data models and ontologies.
- Excellent interpersonal and collaboration skills for cross‑functional teamwork and internal‑customer support.
- Master’s degree or advanced technical training (optional).
- Databricks certifications (Data Engineer Associate/Professional) or comparable big‑data credentials.
- Experience developing applications leveraging genAI.
Pay Information
GeoZone Definition: GeoZones are geographic groupings created by Lockheed Martin to align compensation ranges with regional labor markets and cost-of-labor differences across the United States. Locations are assigned a Geo Zone based on the primary work location of the role.
- Full-time salary range (GEOZONE 1): $131100.00 - $243500.00 · Includes metropolitan areas such as Sunnyvale CA; Pal Alto, CA; New York City metropolitan area; Newark, New Jersey; etc.
- Full-time salary range (GEOZONE 2): $118000.00 - $219100.00 · Includes metropolitan areas such as Denver, CO; King of Prussia, PA; Stratford, CT; Moorestown, NJ; etc.
- Full-time salary range (GEOZONE 3): $104900.00 - $194700.00· Includes metropolitan areas such as Dallas–Fort Worth, TX; Orlando, FL; Grand Prairie, TX; Marietta, GA; etc.
- Full-time salary range (GEOZONE 4): $94400.00 - $175200.00· Includes metropolitan areas such as Camden, AR; Lexington, KY; Lufkin, TX; etc.
At Lockheed Martin, we know mission success starts with taking care of our people. Our Total Rewards program is designed to attract top talent, support your well-being, and help you grow—both professionally and personally.
The salary range for this position is as listed on the requisition. Please note that the salary information listed is a general guideline only.
Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market(work location) and business considerations when extending an offer.
Benefits offered: Medical, Dental, Vision, Flexible work arrangements and schedules (e.g., 4x10), 401(k) match, Paid time off, Holidays, Parental Leave, EAP, Flexible Spending Accounts, Education Assistance, Life Insurance, Short-Term Disability, and Long-Term Disability.
- Annual short-term and/or long-term incentive compensation programs may be offered depending on the position. Payments under these annual programs are not guaranteed and can vary from year to year and are tied to a range of performance metrics.
- For (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.
Originally posted on Himalayas