高级Snowflake数据工程师 - 人才管道
Senior Snowflake Data Engineer - Talent Pipeline
BlueCloud 是 Snowflake 金牌合作伙伴，2026 年 CoCo 候选 Snowflake 年度合作伙伴。我们帮助企业组织从碎片化的遗留系统迁移到统一的、具备 AI 能力的 Snowflake 平台——比传统方法快 40-50% 地交付数据迁移、工程、治理、BI 和分析、AI/ML 解决方案。
我们拥有 450 多名 Snowflake 顾问，完成了 200 多个企业转型项目，并专注于 Snowflake。我们结合咨询导向的思维与 AI 驱动的加速器，将数月的工作量缩短为数周的结果。我们的客户涵盖金融服务、医疗健康与生命科学、零售、制造、能源等多个领域——成果不言自明：报告速度提升 97%，欺诈减少 40%，为客户节省 150 万美元，客户增长 10 倍。
我们不只是制定策略——我们执行。
职位描述
BlueCloud 正在寻找一位经验丰富的高级 Snowflake 数据工程师，负责在复杂的 enterprise 环境中设计、构建和优化可扩展的数据解决方案。这是一个注重实践的工程岗位，专注于开发可靠的数据管道，提升 Snowflake 的性能和成本效率，并现代化现有的数据处理工作负载。
你将与数据架构师、分析师、DevOps 工程师和客户利益相关者合作，交付安全、可维护且高性能的数据平台。理想的候选人需具备扎实的 Snowflake 技能，以及高级 SQL 和 Python 技术，并有在基于云的企业环境中交付数据解决方案的经验。
主要职责
- 在 Snowflake 中设计、开发和维护可扩展的数据管道和转换流程。
- 使用 SQL、Python、Snowpark、dbt 和 Snowflake 原生功能构建和优化 ELT/ETL 流程。
- 使用基于集合的处理、增量加载和可重用的工程模式，现代化基于 Python 和存储过程的管道。
- 使用动态表、流、任务和存储过程实现 Snowflake 原生的数据处理解决方案。
- 通过查询调优、仓库合理配置、聚类策略、工作负载隔离以及自动挂起和恢复策略，提升平台性能和成本效率。
- 开发可靠的编排、依赖管理、监控、错误处理、重试和恢复机制。
- 设计和维护维度型、关系型和领域导向的数据模型。
- 实现数据质量检查、可观测性、测试、血缘关系和文档化。
查看英文原文
BlueCloud is a Snowflake Elite Partner and the 2026 CoCo Catalyst Snowflake Partner of the Year. We help enterprise organizations move from fragmented legacy systems to unified, AI-ready Snowflake platforms — delivering data migration, engineering, governance, BI & analytics, and AI/ML solutions 40–50% faster than traditional approaches.
With 450+ Snowflake consultants, 200+ enterprise transformations under our belt, and a 100% Snowflake focus, we combine advisory-led thinking with AI-powered accelerators to turn months of work into weeks of results. Our clients span Financial Services, Healthcare & Life Sciences, Retail, Manufacturing, Energy, and more — and the outcomes speak for themselves: 97% faster reports, 40% fraud reduction, $1.5M in client savings, and 10× client growth.
We don't just strategize — we execute.
About the Role
BlueCloud is seeking an experienced Senior Snowflake Data Engineer to design, build, and optimize scalable data solutions within complex enterprise environments. This is a hands-on engineering role focused on developing reliable data pipelines, improving Snowflake performance and cost efficiency, and modernizing existing data-processing workloads.
You will collaborate with data architects, analysts, DevOps engineers, and client stakeholders to deliver secure, maintainable, and high-performing data platforms. The ideal candidate combines strong Snowflake expertise with advanced SQL and Python skills and has experience delivering data solutions in cloud-based enterprise environments.
Key Responsibilities
- Design, develop, and maintain scalable data pipelines and transformation workflows within Snowflake.
- Build and optimize ELT/ETL processes using SQL, Python, Snowpark, dbt, and Snowflake-native capabilities.
- Modernize existing Python- and stored-procedure-based pipelines using set-based processing, incremental loading, and reusable engineering patterns.
- Implement Snowflake-native data-processing solutions using Dynamic Tables, Streams, Tasks, and stored procedures.
- Improve platform performance and cost efficiency through query tuning, warehouse right-sizing, clustering strategies, workload isolation, and auto-suspend and auto-resume policies.
- Develop reliable orchestration, dependency management, monitoring, error handling, retry, and recovery mechanisms.
- Design and maintain dimensional, relational, and domain-oriented data models.
- Implement data-quality checks, observability, testing, lineage, and documentation standards.
- Integrate data from batch and real-time sources using tools such as Fivetran, Kafka, Airflow, or similar technologies.
- Contribute to CI/CD pipelines, infrastructure-as-code practices, and automated deployment processes.
- Work closely with architects and client stakeholders to translate business and technical requirements into production-ready solutions.
- Participate in code reviews, technical design discussions, estimation, and Agile delivery activities.
Required Qualifications
- 7+ years of experience in data engineering, including significant hands-on experience with Snowflake.
- Advanced SQL skills, including complex transformations, query optimization, and stored procedure development.
- Strong Python development experience for data processing, automation, and pipeline development.
- Hands-on experience with Snowpark and Snowflake-native capabilities such as Dynamic Tables, Streams, and Tasks.
- Proven experience designing and supporting scalable ELT/ETL pipelines in production environments.
- Strong understanding of Snowflake performance and cost optimization, including warehouse sizing, query profiling, clustering, and workload management.
- Experience with data modeling, incremental processing, pipeline orchestration, and dependency management.
- Experience with dbt or a comparable data transformation framework.
- Familiarity with at least one major cloud platform: AWS, Azure, or GCP.
- Experience with Git, CI/CD, automated testing, and modern software delivery practices.
- Strong troubleshooting, analytical, and problem-solving skills.
- Effective written and verbal communication skills, including the ability to collaborate directly with technical and business stakeholders.
Preferred Qualifications
- Experience with Fivetran, Kafka, Airflow, or similar ingestion and orchestration tools.
- Familiarity with Terraform or another infrastructure-as-code platform.
- Experience with Snowflake Iceberg Tables or modern lakehouse architectures.
- Exposure to Snowflake Cortex, including Cortex Analyst, Cortex Search, or Cortex LLM functions.
- Experience supporting business continuity and disaster recovery strategies.
- SnowPro Core or SnowPro Advanced certification.
We are looking for someone who is experienced in building lasting relationships and is passionate about making meaningful contributions to our team. Don't be mistaken, this is a challenging career path but also highly rewarding. Are you up for the challenge? If so, stop reading and start applying.
Originally posted on Himalayas