Lead Data Engineer / Architect (all genders) 1
发布于 2 小时前基层主管/组长
值不值得投
综合评分 75
A leadership data architecture role in a global healthcare company offering a modern tech stack and strong purpose, with competitive local compensation but undefined daily work-life balance.
从薪资福利、成长发展、工作生活和使命价值四个维度综合评估，方便横向比较。
薪资怎么样
2.9万
比数据工程中位数低
发布情况
新岗位 · 今天发布
公司情况
这家公司招聘很活跃
79 个在招
市场机会
选择面较广
数据工程 · 约 450 个在招
职位详情
关于这个职位
该职位负责领导团队设计、构建和运营安全数据平台，专注于安全与可观测性数据的端到端管理
最低要求
计算机科学、数据工程或相关领域的学士或硕士学位
工作职责
领导工程师和开发人员团队实施数据平台
优先资格
精通 Java 和 Python 等编程语言
AI 洞察
优缺点分析
优点
- Opportunity to work with a modern and cutting-edge tech stack including Kafka, Flink, and Kubernetes in a highly impactful domain.
- Joining a globally recognized, established company in the healthcare and life science sector, offering stability and diverse perspectives.
- The role requires balancing hands-on technical architecture with team leadership, which can be demanding.
- Migrating from legacy systems like Elasticsearch and optimizing complex MPP architectures may involve significant technical hurdles.
- Experienced data engineers or architects with a strong developer background who are ready to take on leadership responsibilities and are passionate about security data and machine learning applications.
缺点 / 挑战
暂无明显挑战项
角色解读
- Progression into senior data architecture roles or broader IT leadership positions within a global healthcare and life science company.
- Opportunity to shape the future of security data platforms and integrate advanced MLOps and machine learning capabilities.
- Lead and guide a team of engineers to build and operate a comprehensive Security Data Platform.
- Architect end-to-end data pipelines for ingestion, normalization, storage, and processing, focusing on security and observability data.
- Collaborate with cross-functional teams to enable fraud detection, threat response, and application observability.
- Strong background in data engineering and architecture with hands-on experience in Kubernetes, Apache Kafka, and Apache Flink.
- Proficiency in programming languages like Java and Python, along with knowledge of OLAP/MPP databases and lakehouse architectures.
- Leadership skills to manage a team and excellent problem-solving abilities in a fast-paced environment.
申请策略
- Tailor your resume to reflect both your technical depth in data engineering and your leadership capabilities.
- Be prepared to discuss how you would approach building a security data platform from scratch or migrating existing systems.
- Highlight your experience in designing large-scale data platforms and leading engineering teams.
- Showcase specific projects involving Apache Kafka, Flink, Kubernetes, and MLOps pipelines.
- Emphasize your background in security data, observability, or machine learning applications.
- Deepen your knowledge of lakehouse architectures (e.g., Apache Iceberg) and MLOps practices.
- Brush up on performance tuning for OLAP and MPP databases if you haven't already.
面试指南
- Use the STAR method (Situation, Task, Action, Result) to structure your answers, especially for leadership and complex project questions.
- For technical questions, break down your thought process from high-level architecture to specific implementation details and performance tuning.
- Can you describe your experience in designing and implementing large-scale data platforms?
- How do you approach optimizing the performance of OLAP and MPP architectures?
- Tell me about a time you led a team through a complex data migration or platform build.
- How would you integrate MLOps and machine learning models into a real-time data streaming pipeline?
- What is your strategy for migrating away from Elasticsearch to alternative solutions?
- Review the specific tech stack mentioned (Kafka, Flink, Kubernetes, Doris, Grafana) and be ready to discuss their trade-offs.
职位点评
薪资福利
The starting salary is explicitly stated at 3,000 EUR, which is highly competitive for the local market in Slovakia. As a global enterprise, it likely offers standard corporate benefits, though specific perks are not detailed in the JD.
成长发展
The role involves working with a modern, cutting-edge tech stack and leading a team, offering strong technical and leadership growth. The company emphasizes developing and growing at your own pace in a diverse environment.
工作生活
The JD mentions initial remote interviews but a final in-person interview, implying an on-site requirement. The fast-paced environment and leadership role might demand significant time commitment, though specific WLB policies are not stated.
使命价值
Working in healthcare and life science at a global company provides a strong sense of purpose, contributing to solutions that enrich people's lives. The focus on security and observability also protects critical infrastructure and data.
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