数据架构与工程负责人 - 远程办公
Lead Consultant Data Architecture & Engineering - 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。
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、客户和公司管理层建立关系，同时在你的专业领域保持实际操作能力。
我们的技术重点是 Azure；你将有机会在致力于技术卓越和客户体验的特定、明确领域中，提升你在微软和 Azure 方面的技能。在我们团队的六个月经验相当于其他地方的多年经验。
微软合作
我们与微软有着良好的全球合作关系，确保我们有大量前沿的 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。拥有良好的工作环境和公司文化，支持灵活的工作地点。
通用要求的技术技能：
4 年带领小型到中型技术团队的经验（包括分配/分发团队成员的工作，处理技术升级和支持，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设计和实现逻辑和物理数据模型的专业知识
实施支持多种数据格式和结构的数据架构，包括结构化、半结构化和非结构化数据
具有多个全生命周期数据仓库实施的经验；了解支持数据集成处理的数据架构；熟悉数据建模工具如 ER/Studio、ER/Win 或类似工具；并熟悉 Microsoft Azure 数据平台服务，包括 Azure Data Lake Store、Azure Storage、Azure Synapse、Azure Data Factory、Azure SQL 数据库、Logic Apps 和 APIs
展示出快速学习、采用和应用新技术的能力
数据剖析和源到目标映射的创建
能够配置和管理 Azure 数据服务资源
详细要求的技能：
Python & SQL 脚本
SQL, PySpark
通用云架构能力
查看英文原文
TASQ is looking for a Lead ConsultantData Architecture & Engineering (GDC) to work on a remote setup from 5pm to 2 a.m.
Job Highlights
Leadership OpportunitiesThis 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 leadershipall while remaining hands-on in your areas of expertise.
Our technology focus is on Azure; you'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 PartnershipsOur 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:
4 years of 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; and 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
Detailed Required Skills:
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
Originally posted on Himalayas