解决方案架构师负责人
Solution Architect Lead
关于 Capitalize Analytics
Capitalize Consulting 是一家数据分析咨询公司，帮助客户将数据转化为决策——在各个行业中设计和交付数据平台、报告生态系统以及高级分析解决方案。我们直接与客户的利益相关者合作，从业务发起人到技术团队，将模糊的业务问题转化为架构化、可扩展的解决方案。
我们正在寻找一名解决方案架构师，负责为客户设计端到端的数据分析和解决方案，并管理构建这些方案的团队。这是一个面向客户的职位：您将主导发现和需求会议，将业务目标转化为技术架构，并指导交付团队进行实施。您将在项目中担任技术核心角色，受到客户和内部团队的信任，能够在时间、预算和遗留系统等现实约束下做出合理且有依据的架构决策。
职责
- 设计涵盖数据采集、建模、仓库、转换和报告/可视化层的端到端解决方案架构
- 生成架构图、技术设计文档和解决方案路线图，确保技术与非技术人员都能理解
- 与项目经理和项目负责人合作，作为客户利益相关者的首要技术联系人，贯穿整个项目生命周期
- 指导和审查数据工程师、分析师和 BI 开发人员的工作，确保解决方案符合架构设计并达到高质量标准
- 参与内部能力构建：可重用的框架、加速器和架构标准，以提高各项目交付的速度和一致性
- 支持售前活动，包括解决方案范围定义、工作量估算以及提案或 RFP 回复
- 直接管理团队，包括人员配置、工作量平衡和日常绩效管理，同时指导他们掌握架构最佳实践和客户交付标准
任职要求
- 7 年以上设计和交付端到端数据和分析解决方案的经验，从源系统到报告和消费层
- 在至少一个主要云数据平台（如 Snowflake、Databricks、AWS、Azure 或 GCP）上有实际操作经验
- 支持售前活动，包括解决方案范围定义、工作量估算以及提案或 RFP 回复
- 具备扎实的 SQL 技能和实际工作经验
查看英文原文
About Capitalize Analytics
Capitalize Consulting is an analytics consulting firm that helps clients turn data into decisions — designing and delivering data platforms, reporting ecosystems, and advanced analytics solutions across industries. We work directly alongside client stakeholders, from business sponsors to technical teams, to translate ambiguous business problems into architected, scalable solutions.
We are looking for a Solution Architect to lead the design of end-to-end analytics and data solutions for our clients while managing a team that builds them. This is a client-facing role: you will lead discovery and requirements sessions, translate business objectives into technical architecture, and guide delivery teams through implementation. You’ll operate as the technical anchor on engagements, trusted by clients and internal teams to make sound, defensible architecture decisions under real-world constraints of timeline, budget, and legacy systems.
The role
- Design end-to-end solution architectures spanning data ingestion, modeling, warehousing, transformation, and reporting/visualization layers
- Produce architecture diagrams, technical design documents, and solution roadmaps that are clear to both technical and non-technical stakeholders
- Partner with project managers and engagement leads by serving as the primary technical point of contact for client stakeholders throughout the engagement lifecycle
- Guide and review the work of data engineers, analysts, and BI developers to ensure solutions are built to the architected design and to firm quality standards
- Contribute to internal capability building: reusable frameworks, accelerators, and architecture standards that improve delivery speed and consistency across engagements
- Support pre-sales activity, including solution scoping, effort estimation, and proposal or RFP responses
- Directly manage a team including staffing, workload balancing, and day-to-day performance management, while mentoring them on architecture best practices and client delivery standards
Qualifications
- 7+ years of experience designing and delivering end-to-end data and analytics solutions, from source systems through to reporting and consumption layers
- Hands-on experience in at least one major cloud data platform (e.g., Snowflake, Databricks, AWS, Azure, or GCP)
- Support pre-sales activity, including solution scoping, effort estimation, and proposal or RFP responses.
- Strong SQL skills and working knowledge of data modeling approaches (dimensional modeling, data vault, or similar)
- Bachelor's or master’s degree in computer science, Information Systems, or a related field, or equivalent experience
- Willingness to travel to client sites as engagements require
Candidates must be legally authorized to work in the United States without sponsorship
Originally posted on Himalayas