Data Solutions Architect
基于云计算的数据解决方案设计和交付 RDBMS,ETL 和 ELT 以及多个部门蓝筹客户端云平台的解决方案负责领导包括数据工程师，建筑师，商业分析师和 QA 分析师在敏捷环境中的跨职能团队 拥有端到端技术提供，利益相关者参与和解决方案质量经验和领导 · 在高级或领先角色中获得数据架构方面的经验 ·经验证明，领导使用雪的复杂数据解决方案的建筑设计和战略 · 监督企业数据平台端到端交付 · 在咨询环境中提供定制数据架构解决方案 · 保险部门内经验被认为是优势 建筑专业知识 · 拥有强大的专业知识在设计和提供端到端数据解决方案，包括采用雪的数据仓储，管道和分析 · 使用数据网格和数据布料体系结构模式的经验 · 有证实能力以产品为导向的思维方式开发数据产品策略 · 云平台包括 Snowflake,AWS,Azure 和 GCP 的广泛经验 · 与云服务和大数据工具集成 Snowflaque 的经验 · 对云基础设施及其对数据架构的影响的强有力的理解 · 数据技术技能 · 深入使用 Snowflack 功能，能力和最佳实践的实践经验 · 数据建模原则和技术的强有力了解 · Apache Spark 等大数据技术的坚实的知识 · Hadoop 生态系统的实操了解 · Python,R 或 Java 等编程语言的经验 • DBT 等 ETL 和 ELT 流程的知识 · SQL 和 NoSQL 数据库的经验 · 对数据可视化工具和 DevOps 原则和工具的接触 ·熟悉机器学习和人工智能概念及其融入数据架构设计与生命周期管理 · 经验证明设计现代，可扩展和弹性数据架构 · 从概念到部署和消费全面的数据架构生命周期的强有力的理解 数据管理和治理 ·对数据管理原理和最佳实践的强有力知识 · 实施数据治理框架的经验 ·
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Summary of the Role
Data Solutions Architect to work within a dynamic, remote-first data architecture capability delivering cloud-based data solutions
Responsible for designing and delivering solutions using RDBMS, ETL and ELT, and cloud platforms for blue-chip clients across multiple sectors
Lead cross-functional teams including Data Engineers, Architects, Business Analysts, and QA Analysts in an Agile environment
Own end-to-end technical delivery, stakeholder engagement, and solution quality
Experience and Leadership
- Proven experience in data architecture in a senior or lead role
- Demonstrated experience leading architectural design and strategy for complex data solutions using Snowflake
- Experience overseeing end-to-end delivery of enterprise data platforms
- Background in consulting environments delivering custom data architecture solutions
- Experience within the insurance sector considered an advantage
Architectural Expertise
- Strong expertise in designing and delivering end-to-end data solutions including data warehousing, pipelines, and analytics using Snowflake
- Experience applying Data Mesh and Data Fabric architectural patterns
- Proven ability to develop data product strategies with a product-led mindset
- Extensive experience across cloud platforms including Snowflake, AWS, Azure, and GCP
- Experience integrating Snowflake with cloud services and big data tools
- Strong understanding of cloud infrastructure and its impact on data architecture
Data Technology Skills
- Deep hands-on experience with Snowflake features, capabilities, and best practices
- Strong understanding of data modelling principles and techniques
- Solid knowledge of big data technologies such as Apache Spark
- Working knowledge of Hadoop ecosystems
- Experience with programming languages such as Python, R, or Java
- Knowledge of ETL and ELT processes including DBT
- Experience with SQL and NoSQL databases
- Exposure to data visualisation tools and DevOps principles and tools
- Familiarity with machine learning and AI concepts and their integration into data architectures
Design and Lifecycle Management
- Proven experience designing modern, scalable, and resilient data architectures
- Strong understanding of the full data architecture lifecycle from concept to deployment and consumption
Data Management and Governance
- Strong knowledge of data management principles and best practices
- Experience implementing data governance frameworks
- Understanding of data security and compliance requirements including GDPR, CCPA, HIPAA, or similar regulations
Leadership and Communication
- Strong leadership capability to guide and manage architects and technical specialists
- Excellent communication and interpersonal skills
- Proven ability to influence architectural decisions and guide best practices with stakeholders and clients
Project and Stakeholder Management
- Experience working within agile delivery frameworks including SAFe, Scrum, and Kanban
- Ability to manage budgets, timelines, and resources while maintaining focus on architectural outcomes
Qualifications
- Matric and a bachelors degree in Business Administration, Information Systems, or a related field
- SAFe or Scrum certification preferred
Originally posted on Himalayas