远程工作雷达

高级数据架构师

Senior Data Architect

AI开发工程限定地区(需当地身份)与中国几乎无重叠,需长期倒时差
公司Blanc Labs
薪资未公开
工作地点Colombia
地域资格限定地区(需当地身份)
时区要求与中国几乎无重叠,需长期倒时差
用工类型Contractor
发布时间今天
数据来源Himalayas
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注意地域限制:该职位明确限定在 Colombia 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。
作息提示:与中国几乎无重叠,需长期倒时差。

Blanc Labs 是全球企业的首选合作伙伴,引领数字化、自动化以及下一代数字产品和服务的开发。我们在数字化转型方面的专长助力企业加速服务交付、提升客户参与度并推动增长。
我们正在寻找一位具备 AI 技能的高级数据架构师,负责在现代数据平台上设计和领导企业数据架构策略。该职位结合深厚的数据工程和建模经验,以及在 AI 驱动的数据生态系统中的实战经验,推动组织内可扩展、受控且智能的数据解决方案的设计。

你将负责:

  • 设计和演进企业数据架构策略,包括数据模型、数据湖和数据仓库
  • 领导 ETL/ELT 流水线的设计和实现,以支持分析、报告和 AI/ML 工作负载
  • 架构和实现主数据管理(MDM)框架,确保系统间的数据质量和一致性
  • 使用 Databricks 和 Microsoft Fabric 设计和构建现代数据平台
  • 在 AWS 上架构云原生数据解决方案,确保可扩展性、安全性和成本效率
  • 定义数据治理标准、元数据管理实践和数据血缘框架
  • 与数据科学和 AI 团队合作,设计支持机器学习、生成式 AI 和代理系统用例的数据架构
  • 与业务和技术利益相关者合作,将数据需求转化为可扩展的架构解决方案
  • 评估并推荐用于数据集成、存储和处理的工具、技术和最佳实践
  • 为数据工程团队提供技术领导力和指导
  • 解决复杂的数据流水线和平台问题,推动根本原因分析和长期解决方案
  • 推动数据架构、性能和可观测性的持续改进

你将需要具备以下条件:

  • 8 年以上数据架构、数据工程或相关领域的经验
  • 在企业系统中设计数据模型(概念型、逻辑型、物理型)方面有扎实的实战经验
  • 有构建和优化 ETL/ELT 流水线的实操经验
  • 有实施主数据管理(MDM)解决方案的实战经验
  • 在数据工程和分析工作负载中熟练使用 Databricks
  • 有使用 Microsoft Fabric 进行统一数据和分析解决方案的经验
查看英文原文

Blanc Labs is a premier partner for global enterprises, leading the way in digitization, automation, and the development of next-generation digital products and services. Our expertise in digital transformation powers businesses to accelerate service delivery, drive customer engagement, and foster growth.
We are seeking a highly skilled Senior Data Architect with AI Skills to design and lead enterprise data architecture strategy across modern data platforms. This role combines deep data engineering and modeling expertise with hands-on experience in AI-enabled data ecosystems, driving the design of scalable, governed, and intelligent data solutions across the organization.
What You'll be Doing:

  • Design and evolve enterprise data architecture strategies, including data models, data lakes, and data warehouses
  • Lead the design and implementation of ETL/ELT pipelines to support analytics, reporting, and AI/ML workloads
  • Architect and implement Master Data Management (MDM) frameworks to ensure data quality, consistency, and governance across systems
  • Design and build modern data platforms using Databricks and Microsoft Fabric
  • Architect cloud-native data solutions on AWS, ensuring scalability, security, and cost efficiency
  • Define data governance standards, metadata management practices, and data lineage frameworks
  • Collaborate with data science and AI teams to design data architectures that support machine learning, GenAI, and agentic system use cases
  • Partner with business and technical stakeholders to translate data requirements into scalable architectural solutions
  • Evaluate and recommend tools, technologies, and best practices for data integration, storage, and processing
  • Provide technical leadership and mentorship to data engineering teams
  • Troubleshoot complex data pipeline and platform issues, driving root cause analysis and long-term fixes
  • Drive continuous improvement in data architecture, performance, and observability

What You'll Need to Be Successful:

  • 8+ years of experience in data architecture, data engineering, or related roles
  • Strong hands-on experience designing data models (conceptual, logical, physical) for enterprise systems
  • Proven experience building and optimizing ETL/ELT pipelines
  • Hands-on experience implementing Master Data Management (MDM) solutions
  • Strong expertise with Databricks for data engineering and analytics workloads
  • Experience with Microsoft Fabric for unified data and analytics solutions
  • Solid experience with AWS data services (e.g., S3, Glue, Redshift, RDS, Lake Formation)
  • Understanding of AI/ML data requirements, including feature engineering and data preparation for GenAI and LLM-based systems
  • Strong knowledge of data governance, data quality, and metadata management practices
  • Proficiency in SQL and familiarity with Python or other data engineering languages
  • Strong analytical and problem-solving skills, with the ability to communicate technical concepts to non-technical stakeholders

Preferred Qualifications:

  • Experience with data architecture in hybrid or multi-cloud environments (Azure, AWS)
  • Familiarity with GenAI and agentic AI system architectures
  • Experience with data cataloging and lineage tools
  • Knowledge of CI/CD practices for data pipelines (DataOps)
  • Experience working in Agile/Scrum environments

Blanc Labs is enabling a digital future. Headquartered in Toronto, we partner with clients in North & South America to digitize and automate their operations and build their next generation of digital products and services. We empower clients to enhance their digital offerings and bring creative solutions to the market faster. Learn more at .
Blanc Labs is an equal opportunity employer and is committed to providing employment in accordance with the Ontario Human Rights Code and the Accessibility for Ontarians with Disabilities Act. Accommodations within reason due to a disability or medical need are available on request for candidates taking part in the recruitment process.
Originally posted on Himalayas

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AI架构师 – 代理系统

Blanc LabsColombiaFull Time今天
AI开发工程限定地区(需当地身份)与中国几乎无重叠,需长期倒时差

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