Databricks 资深解决方案架构师 _ 欧洲承包商
Databricks Senior Solutions Architect _ Europe-Based Contractor
Hiflylabs 是欧洲领先的 Data Consultancy Agency 能力中心，拥有超过 250 名专家。在数据与分析领域拥有二十年经验，Hiflylabs 为欧洲和北美客户提供服务。我们构建云数据平台和数据仓库，进行数据分析和数据可视化，将数据科学应用于业务问题，甚至提供数据管理咨询。
我们致力于打造一个富有挑战性且支持性的职场环境，让员工与公司共同成长、取得卓越成就。我们相信员工是最重要的资产，并通过导师制度投资于他们的个人和职业发展。
职位简介/你将做什么？
作为高级解决方案架构师，你将在塑造顶级财富 500 强公司的大数据未来中发挥关键作用。这个面向客户的高级职位需要对 Apache Spark 有深入的了解，并具备广泛的大数据解决方案架构经验。
每周，你将协助客户进行架构、设计和实施，确保他们的技术路线图与 Databricks 平台的扩展战略保持一致。作为架构团队的一员，你将通过导师指导、持续学习和内部培训项目不断提升自己的技术能力。这是一个远程岗位（可能有极少例外情况需另行商定），申请人需要与客户有显著的时间区重叠。
主要职责
· 在售后阶段提供技术领导，指导战略客户设计和实施大数据项目，从架构设计到数据工程和模型部署。
· 识别并推动新项目，帮助客户将数据转化为可操作的商业价值，这些项目需与客户的业务目标保持一致以实现持续成功。
· 设计生产级别的工作负载，包括端到端管道负载的性能测试和优化。
· 提供教程和培训课程，促进社区采用（包括黑客松、会议演讲等）。
任职要求
· 精通 Apache Spark 的实际操作和技术能力。
· 在多个大型项目中具有使用 Databricks 的实际经验。
· 拥有 Databricks 认证的数据工程师专业认证。
· 在设计和实施大数据技术方面有实际经验，包括 Hadoop、NoSQL、MPP、OLTP、OLAP。
· 具备良好的沟通能力和团队合作精神
查看英文原文
Hiflylabs is a leading Data Consultancy Agency competency center in Europe with a staff of over 250 experts. With two decades of experience in the Data & Analytics field, Hiflylabs focuses on serving clients both in Europe and North America. We build cloud data platforms and data warehouses, do data analysis and data visualization, apply data science to business problems, and even consult on data management.
We strive to create a work environment that is both challenging and supportive, allowing our employees to grow and excel with our company. We believe that our people are our most valuable assets, and we are committed to invest in their personal and professional development through our mentoring system.
About the Job/What will you do?
As a Senior Solutions Architect, you will play a pivotal role in shaping the future of big data for top Fortune 500 companies. This senior customer-facing position requires extensive expertise in Apache Spark and a broad range of experience in big data solution architecture.
Each week, you will assist customers with architecture, design, and implementation, ensuring their technical roadmap aligns strategically with the expansion of the Databricks platform. As a member of the architect team, you will continuously enhance your technical skills through mentorship, ongoing learning, and internal training programs. This is a remote role (with possible rare exceptions to be agreed upon in due time) and requires the applicant to have a significant time zone overlap with the clients.
Main Tasks
· Provide technical leadership post-sales to guide strategic customers in designing and implementing big data projects, from architectural design to data engineering and model deployment.
· Identify and drive new initiatives that help customers turn their data into actionable business value, aligning these initiatives with their business goals for continued success.
· Architect production-level workloads, including performance testing and optimization of end-to-end pipeline loads.
· Deliver tutorials and training sessions to promote community adoption (including hackathons, conference presentations, etc.).
Requirements
· Hands-on and technical expertise with Apache Spark.
· Hands-on experience with Databricks over the course of several large-scale projects.
· Databricks Certified Data Engineer Professional certification.
· Proven experience in designing and implementing big data technologies, including Hadoop, NoSQL, MPP, OLTP, OLAP.
· Over 5 years of experience working as a Software Engineer or Data Engineer, including query tuning, performance tuning, troubleshooting, and debugging Spark and/or other big data solutions.
· Proficiency in programming with Python, Scala, or Java.
· Experience designing and using solutions on cloud infrastructure and services, such as AWS, Azure, or GCP.
· Familiarity with Development Tools for CI/CD, Unit and Integration testing, Automation and Orchestration, REST API, BI tools, and SQL Interfaces (e.g., Jenkins).
· Excellent communication skills and comfort in presenting to strategic stakeholders and leadership.
· Experience in customer-facing roles such as pre-sales, post-sales, technical architecture guidance, or consulting.
· Passion for learning new technologies and ensuring customer success.
· Desired experience in Data Science/ML Engineering, including model selection, model lifecycle, hyper-parameter tuning, model serving, deep learning, using tools like MLFlow.
Why us?
· Diverse projects - In each assignment, there is always something new, either on the technical or the business side, that helps you grow.
· Empowerment - Trust is a cornerstone of our culture. We'll hold your hand if you need it, but give you space if you’d like to push your limits. Don't lose sight of the goal, the rest is up to you.
· Flexible ways of working – We love our location on Bartók Béla RoadStreet which is not only an office but also a community space. However, we respect our people to do their work when and how they work best.
· Balanced life - We love what we do and aim to work together with others who do their work with love. At the same time, we highly value fresh minds, for which we think a healthy work/life balance is essential! Forget about pointless meetings and unnecessary administration.
· Mentoring from your first day – Continuous support is not just a set of fancy words we throw around here; your mentor follows you throughout your career path.
· Learning & Development opportunities - If you want to keep learning and improving, we are on to a great track! We look forward to helping you unlock your potential.
· Supportive corporate culture - In addition to our professional success, we are proud of the social cohesion that is based on comradery, mutual support, and respect and is constantly nurtured in the company.