数据架构与工程（GDC）负责人顾问 - 远程
Lead Data Architecture & Engineering (GDC) Consultant - Remote
职位描述：数据架构与工程高级顾问（GDC） | 远程办公
工作安排：完全远程
时间安排：中午班
至少需要5年相关经验，其中至少4年相关管理经验
职位概述：
**领导力发展** 该职位提供提升技术领导力的机会，包括做出技术决策、指导初级团队成员，并与项目、客户和公司管理层建立关系，同时在技术领域保持活跃参与。
**技术重点与成长** 我们的主要关注点是Azure，提供大量机会在微软和Azure生态系统中发展专业知识，在注重技术卓越和出色客户体验的环境中。与我们团队合作六个月，相当于在其他地方积累多年的经验。
**合作与机会** 我们与微软的强强合作，确保可以接触到创新的Azure项目，并直接与平台开发者协作，这是其他地方不常见的优势。
**薪酬与文化** 我们提供具有竞争力的薪资、津贴、标准福利以及基于绩效的奖金（季度和年度）。我们公司营造积极的工作环境和文化，提供灵活的远程办公选项。
**核心技术技能要求：**
- 具有带领小型到中型技术团队的实际经验，包括任务委派、技术问题升级、支持工作，以及在敏捷会议和客户会议中代表团队
- 精通为云和混合数据仓库环境设计和实现逻辑和物理数据模型
- 具有开发支持多种数据格式（结构化、半结构化和非结构化数据）的数据架构的经验
- 参与完整生命周期的数据仓库项目
- 了解数据集成过程所需的数据架构知识
- 熟练使用数据建模工具，如ER/Studio、ER/Win或类似工具
- 熟悉Microsoft Azure数据平台服务，如Azure Data Lake Storage、Azure Blob Storage、Azure Synapse、Azure Data Factory、Azure SQL Database、Logic Apps和APIs
- 展现出快速学习、适应并应用新技术的能力
- 具有数据剖析和源到目标数据转换映射的经验
- 能够部署和配置Azure数据服务
**详细技术技能：**
- Python
查看英文原文
About the Position: Lead Consultant Data Architecture & Engineering (GDC) | Remote
Work Arrangement: Fully Remote
Schedule: Midshift
At least 5 years of relevant experience and at least 4 years of relevant leadership experience is needed.
Job Overview:
**Leadership Development** This role offers opportunities to enhance your technical leadership skills, including making technical decisions, mentoring junior team members, and building relationships with project, client, and company leadershipall while remaining actively involved in your technical domain.
**Technology Focus & Growth** Our primary focus is on Azure, providing numerous chances to develop your expertise within the Microsoft and Azure ecosystems in an environment dedicated to technical excellence and exceptional client experiences. Just six months with our team can equate to years of experience elsewhere.
**Partnerships & Opportunities** Our strong global partnership with Microsoft ensures access to innovative Azure projects and direct collaboration with the platforms creatorsan advantage not commonly found elsewhere.
**Compensation & Culture** We offer a competitive salary, allowances, standard benefits, and performance-based bonuses (quarterly and annually). Our company fosters a positive working environment and culture, with flexible options for remote work.
**Core Technical Skills Required:**
- Proven experience leading small to medium technical teams, including task delegation, technical escalation, support, and representing the team in Agile ceremonies and client meetings
- Expertise in designing and implementing logical and physical data models for cloud and hybrid data warehouse environments
- Experience in developing data architectures supporting diverse data formats: structured, semi-structured, and unstructured data
- Hands-on involvement in full lifecycle data warehouse projects
- Knowledge of data architecture necessary for data integration processes
- Proficiency with data modeling tools such as ER/Studio, ER/Win, or similar
- Familiarity with Microsoft Azure Data Platform services like Azure Data Lake Storage, Azure Blob Storage, Azure Synapse, Azure Data Factory, Azure SQL Database, Logic Apps, and APIs
- Demonstrated ability to quickly learn, adapt, and apply new technologies
- Experience in data profiling and mapping source-to-target data transformations
- Ability to provision and configure Azure data services
**Detailed Technical Skills:**
- Python and SQL scripting
- SQL and PySpark
- General cloud architecture skillscapable of translating requirements into data pipeline solutions
- API development knowledge; candidates with API creation skills are preferred
**Preferred Skills, Experience, & Certifications:**
- Microsoft Fabric
- Microsoft Azure Cosmos DB, Data Flows, ExpressRoute, Azure Active Directory
- Experience designing migration strategies from on-premise environments to Azure
- Power BI and semantic data modeling
- AWS Glue and Azure Data Factory
- AWS S3 and Azure Blob Storage
- AWS Athena and Azure Databricks
- AWS Redshift and Azure Synapse Analytics
- AWS ECS and Azure AKS
Originally posted on Himalayas