数据架构与工程负责人（GDC） - 远程
Lead Consultant - Data Architecture & Engineering (GDC) - WFH
TASQ 正在寻找一位数据架构与工程高级顾问（GDC），远程工作，时间从下午5点到凌晨2点。
详细要求技能：
至少 4 年相关领导经验
Python & SQL 脚本编写
SQL, PySpark
通用云架构能力：能够根据需求构建数据流水线
需要了解 API，但优先考虑能够创建 API 的候选人
优选经验/技能/认证：
Microsoft Fabric
Microsoft Azure Cosmos DB、Data Flows、Express Route、Azure Active Directory
有将客户从本地环境迁移到 Azure 的策略经验
Power BI 和语义建模
AWS Glue & Azure Data Factory
AWS S3 & Azure Blob
AWS Athena & Azure Databricks
AWS Redshift & Azure Synapse
AWS ECS & Azure AKS
职位亮点：
领导机会 - 这个职位将帮助你拓展和扩展你在技术领导岗位上的知识和经验。包括技术决策；对更初级团队成员的指导和辅导；以及与项目、客户和公司领导建立关系——同时在你的专业领域保持实际操作。
我们的技术重点是 Azure，你将在一个致力于技术卓越和客户体验的特定明确领域中，获得大量令人兴奋的机会来提升你在微软和 Azure 方面的技能。在我们团队六个月的经验相当于其他地方几年的经验。
微软合作伙伴关系 - 我们与微软的全球良好关系确保我们有大量前沿 Azure 工作机会，并能接触到构建该平台的团队。其他地方很难找到这样的机会。
具有竞争力的薪酬包，包括薪资、津贴、标准福利，包括季度和年度绩效奖金，以及其他报酬。良好的工作环境和公司文化，支持灵活的工作地点。
一般要求技术技能：
有领导小型到中型技术团队的经验（包括分配/分发工作任务给团队成员、处理技术问题和支持，以及在敏捷会议和客户会议中代表团队）。
在云和混合数据仓库环境中具备设计和实现逻辑和物理数据模型的专业知识
实施数据架构以支持各种数据格式和结构，包括结构化、半结构化和非结构化数据
有多数据源集成经验，熟悉 ETL/ELT 流程，有数据治理和元数据管理经验
熟悉数据质量、数据安全和合规性要求
具备良好的沟通能力和跨团队协作能力
查看英文原文
TASQ is looking for a Lead Consultant - Data Architecture & Engineering (GDC) to work on a remote setup from 5pm to 2am.
Detailed Required Skills:
At least 4 years of relevant leadership experience
Python & SQL Scripting
SQL, PySpark
General Cloud Architecture competency skillset: capable of taking requirements and building out data pipelines
API Knowledge is required, but preference given to candidates who can create APIs
Preferred Experience/Skills/Certifications:
Microsoft Fabric
Microsoft Azure Cosmos DB, Data Flows, Express Route, Azure Active Directory
Experience creating strategies to migrate customers from on-premise environments to Azure
Power BI and semantic modeling
AWS Glue & Azure Data Factory
AWS $3 & Azure Blob
AWS Athena & Azure Databricks
AWS Redshift & Azure Synapse
AWS ECS & Azure AKS
Job Highlights:
Leadership Opportunities - This role will help you extend and expand your knowledge and experience in technical leadership positions. These include technical decision-making; guidance and mentorship of more junior team members; and developing relationships with project, client, and company leadership - all while remaining hands-on in your areas of expertise.
Our technology focus is on Azureyou'll have plenty of exciting opportunities to grow your skills in Microsoft and Azure in an environment committed to technical excellence and client experience in a very specific, defined space. Six months of experience on our team is worth years somewhere else.
Microsoft Partnerships - Our great global relationship with Microsoft ensures that we have a pipeline of cutting-edge Azure work opportunities and access to the teams that have built the platform. You won't find this at other places.
Competitive compensation package, salary, allowance, standard benefits including quarterly and annual performance-based cash bonuses, and other remuneration. Great working environment and company culture with flexible work location.
General Required Technical Skills:
Experience leading small to medium-sized technical teams (this includes work allocation/distribution to team members, technical escalation and 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
Implementing data architectures to support a variety of data formats and structures, including structured, semi-structured and unstructured data
Experience with multiple full life-cycle data warehouse implementations Understanding of data architectures required to support data integration processing Experience with data modeling technologies such as ER/Studio, ER/Win, or similar Experience with Microsoft Azure Data Platform services including Azure Data Lake Store, Azure Storage, Azure Synapse, Azure Data Factory, Azure SQL database, Logic Apps, and APIs
Demonstrated ability to quickly learn, adopt and apply new technologies
Data profiling and creation of source-to-target mappings
Ability to provision and configure Azure data service resources
Originally posted on Himalayas