数据架构师（远程，合同工，Octopus by RTG）
Data Architect (4 Months Contract ) Remote - Octopus by RTG
我们正在寻找一个高技能的高级数据工程师，设计，构建和优化可扩展的数据管道和企业级数据架构。这个角色专注于没有人员管理的技术领导，你将推动支持分析，报告和 AI/ML 倡议的高质量数据解决方案的架构和交付。理想候选人是实践，分析和在云和现场环境中建立强大的数据平台的经验丰富的人才。关键责任 · 设计和实施结构化和非结构化的数据管道的可扩展性，高性能数据管道 · 建立和维护云端及现场环境 （AWS,Azure 或 GCP）上企业级数据架构。·定义并实施数据建模战略 （数据仓库，数据湖泊，实时流媒体）. ·与商业利益相关者合作将要求转化为技术解决方案。·确保所有数据资产的数据质量，治理，安全和合规性。·执行复杂的数据分析，支持报告和分析举措。·评估和推现代工具，框架和数据工程最佳做法。·集成来自多个来源的数据，优化数据性能。· 提供数据项目技术指导和建筑指导要求 ·计算机科学，信息系统或相关领域的学士学位 · 6年以上企业环境中的数据工程和数据架构经验 ·需要与雪实践经验 · ETL/ELT 管道，数据湖和数据仓库强大的经验 · 与云平台 （AWS,Azure 或 GCP）的实践经历 · SQL 熟练以及至少一个编程语言 （Python,Java 或 Scala）· 流媒体技术 （Kafka,Spark Streaming 或类似）的经验 · 强大的数据建模，维度建模和方案设计的理解 · 对数据治理，安全和合规性的知识 · 强大的问题解决能力和独立工作的能力 · 与技术和非技术利益相关者进行优秀沟通技能 • 在中东市场的工作经验或熟悉沙特阿拉伯法规 · 在数据管道内接触 AI/ML 集成 ·云认证 （AWS,Azure 或 GCP 数据工程认证）· 使用 BI 工具 （Power BI, Tableau,Looker 或类似）的经验
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We are seeking a highly skilled Senior Data Engineer to design, build, and optimize scalable data pipelines and enterprise-level data architecture.
This role is focused on technical leadership without people management, where you will drive the architecture and delivery of high-quality data solutions supporting analytics, reporting, and AI/ML initiatives. The ideal candidate is hands-on, analytical, and experienced in building robust data platforms across cloud and on-prem environments.
Key Responsibilities
- Design and implement scalable, high-performance data pipelines for structured and unstructured data
- Build and maintain enterprise-grade data architecture across cloud and on-prem environments (AWS, Azure, or GCP)
- Define and implement data modeling strategies (data warehouses, data lakes, real-time streaming)
- Collaborate with business stakeholders to translate requirements into technical solutions
- Ensure data quality, governance, security, and compliance across all data assets
- Perform complex data analysis and support reporting and analytics initiatives
- Evaluate and recommend modern tools, frameworks, and best practices in data engineering
- Integrate data from multiple sources and optimize data performance
- Provide technical direction and architectural guidance across data projects
Requirements
- Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field
- 6+ years of experience in data engineering and data architecture in enterprise environments
- Hands-on experience with Snowflake is required
- Strong experience with ETL/ELT pipelines, data lakes, and data warehouses
- Hands-on experience with cloud platforms (AWS, Azure, or GCP)
- Proficiency in SQL and at least one programming language (Python, Java, or Scala)
- Experience with streaming technologies (Kafka, Spark Streaming, or similar)
- Strong understanding of data modeling, dimensional modeling, and schema design
- Knowledge of data governance, security, and compliance
- Strong problem-solving skills and ability to work independently
- Excellent communication skills with both technical and non-technical stakeholders
Nice to Have
- Experience working in Middle East markets or familiarity with Saudi Arabia regulations
- Exposure to AI/ML integration within data pipelines
- Cloud certifications (AWS, Azure, or GCP Data Engineering certifications)
- Experience with BI tools (Power BI, Tableau, Looker, or similar)
Originally posted on Himalayas