主导数据架构与工程顾问（GDC）- 全程远程
Lead Data Architecture & Engineering Consultant (GDC) - Fully Remote
TASQ目前正在寻找该职位的合格申请人。工作时间从下午5点到凌晨2点。由于物流原因，我们只能接受菲律宾本地的申请人。
职位名称：首席数据架构与工程顾问（GDC） | 远程办公
职位概述：
此职位提供领导机会，使您能够扩展在技术领导职责方面的专业知识。您将参与技术决策、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积极的实践。主要技术重点是Azure，为您提供在微软和Azure生态系统中发展技能的众多机会，在一个致力于技术卓越和优质客户服务的环境中工作。在我们团队的六个月经验相当于其他地方的多年经验。
合作：
我们与微软的全球强强合作关系确保可以接触到创新的Azure项目，并直接与开发平台的团队互动，提供其他地方无法获得的独特职业发展机会。
薪酬与文化：
我们提供具有竞争力的薪资包、津贴、标准福利以及按季度和年度发放的绩效奖金。我们的企业文化强调积极的工作环境，并提供灵活的工作安排以支持工作与生活的平衡。
关键专业技术技能：
- 有带领小型到中型技术团队的实证经验，包括任务分配、技术升级、支持以及在敏捷仪式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部署逻辑和物理数据模型。
- 有开发支持各种数据格式（包括结构化、半结构化和非结构化数据）的数据架构的经验。
- 有全生命周期数据仓库项目的实践经验。
- 了解数据集成过程中的数据架构原则。
- 熟悉数据建模工具，如ER/Studio、ER/Win或类似工具。
- 精通Microsoft Azure数据平台服务，包括Azure Data Lake Storage、Azure Storage、Azure Synapse Analytics、Azure Data Factory、Azure SQL Database、Logic Apps和APIs。
- 能够快速学习、采用并应用新技术。
- 有数据剖析和创建源到目标数据映射的经验。
- 精通资源调配和配置
查看英文原文
TASQ is currently seeking qualified applicants for this position. The work schedule is from 5pm to 2am. Due to logistical reasons, we can only accept applicants based in the Philippines.
Job Title: Lead Data Architecture & Engineering Consultant (GDC) | REMOTE
Job Overview:
This role offers leadership opportunities, allowing you to expand your expertise in technical leadership responsibilities. You will be involved in making technical decisions, mentoring junior team members, and building relationships with project, client, and company leadershipall while remaining actively hands-on in your technical domain. The primary technology focus is on Azure, providing numerous opportunities to develop skills within the Microsoft and Azure ecosystems in an environment dedicated to technical excellence and exceptional client service. Six months of experience on our team can equate to years of experience elsewhere.
Partnerships:
Our strong global relationship with Microsoft ensures access to innovative Azure projects and direct engagement with the teams that develop the platform, offering unique professional growth opportunities unavailable elsewhere.
Compensation & Culture:
We offer a competitive salary package, allowances, standard benefits, and performance-based bonuses quarterly and annually. Our company culture emphasizes a positive work environment, with flexible work arrangements to support work-life balance.
Key Technical Skills:
- Proven experience leading small to medium technical teams, including task allocation, technical escalation, support, and representing the team in Agile ceremonies and client meetings.
- Expertise in designing and deploying logical and physical data models for cloud and hybrid data warehouse environments.
- Experience in developing data architectures that support various data formats, including structured, semi-structured, and unstructured data.
- Hands-on experience with full lifecycle data warehouse projects.
- Knowledge of data architecture principles for data integration processes.
- Familiarity with data modeling tools such as ER/Studio, ER/Win, or similar.
- Proficiency with Microsoft Azure Data Platform services, including Azure Data Lake Storage, Azure Storage, Azure Synapse Analytics, Azure Data Factory, Azure SQL Database, Logic Apps, and APIs.
- Ability to quickly learn, adopt, and apply new technologies.
- Experience in data profiling and creating source-to-target data mappings.
- Skilled in provisioning and configuring Azure data services.
Detailed Skill Requirements:
- Python and SQL scripting expertise.
- Experience with SQL and PySpark.
- General competency in cloud architecture, capable of translating requirements into data pipeline solutions.
- API development knowledge; candidates who can create APIs will be preferred.
Preferred Experience, Skills, and Certifications:
- Microsoft Fabric
- Azure Cosmos DB, Data Flows, ExpressRoute, Azure Active Directory
- Experience planning and executing migration strategies from on-premises 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