数据架构与工程负责人（GDC） | 远程办公
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，工作时间为菲律宾时间下午5点至凌晨2点。由于物流原因，该职位仅考虑在菲律宾的申请人。
--- 关于职位：高级顾问，数据架构与工程（GDC） | 远程***
主要亮点：**
- **领导力发展：** 该职位提供扩展技术领导能力的机会，包括做出技术决策、指导初级团队成员，并与项目、客户和高管建立关系，同时在技术领域保持实际操作。
- **以Azure为重点的技术：** 我们的主要重点是微软Azure。您将有机会在Azure生态系统中提升技能，在一家致力于技术卓越并专注于特定领域为客户带来出色体验的公司工作。在我们这里六个月的工作量相当于其他地方几年的经验。
- **与微软的合作：** 我们与微软有强大的全球合作关系，可获得创新的Azure项目，并与平台开发团队直接合作，这是独家优势。
- **具有竞争力的薪酬：** 我们提供具有竞争力的薪资包、津贴、标准福利，以及季度和年度绩效奖金及其他激励措施。
- **灵活的工作环境：** 享受积极的公司文化及灵活的远程工作选项。
核心专业技术要求：**
- 有带领小型到中型技术团队的实操经验，包括任务分配、处理升级问题、支持团队成员，并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施逻辑和物理数据模型。
- 有创建支持各种数据格式（结构化、半结构化和非结构化）的数据架构的经验。
- 具有完整的数据仓库项目生命周期的丰富经验。
- 对数据架构有深刻理解，以促进数据集成。
- 熟练使用数据建模工具，如ER/Studio、ER/Win或类似工具。
- 有使用微软Azure数据平台服务的实际经验，包括Azure Data Lake Store、Azure Storage、Azure Synapse、Azure Data Factory、Azure SQL Database、Logic Apps和API。
- 展示出快速学习和应用新技术的能力。
- 具备数据剖析和开发解决方案的技能
查看英文原文
TASQ is seeking a Lead Consultant Data Architecture & Engineering (GDC) to work remotely from 5pm to 2am Philippine Time. Due to logistical considerations, only applicants based in the Philippines will be considered for the role.
--- About the Position: Lead Consultant, Data Architecture & Engineering (GDC) | REMOTE***
Key Highlights:**
- **Leadership Development:** This role offers opportunities to expand your expertise in technical leadership, including making technical decisions, mentoring junior team members, and building relationships with project, client, and executive leaders, all while remaining hands-on in your technical domain.- **Azure-Focused Technology:** Our primary focus is on Microsoft Azure. You'll have numerous chances to develop your skills within the Azure ecosystem, working in a company dedicated to technical excellence and delivering exceptional client experiences in a specialized area. Six months with us can equate to years of experience elsewhere.
- Partnership with Microsoft:** Our strong global relationship with Microsoft provides access to innovative Azure projects and direct collaboration with the teams that developed the platforman exclusive advantage.
- **Competitive Compensation:** We offer a competitive salary package, allowances, standard benefits, plus quarterly and annual performance-based bonuses, and other incentives.
- **Flexible Work Environment:** Enjoy a positive company culture with flexible remote working options.
Core Technical Skills Needed:**
- Proven experience leading small to medium technical teams, including task assignment, handling escalations, supporting team members, and representing the team during Agile ceremonies and client meetings.
- Expertise in designing and implementing logical and physical data models for cloud and hybrid data warehouse environments.
- Experience creating data architectures that support various data formats: structured, semi-structured, and unstructured.- Extensive experience across full data warehouse project lifecycles.
- Strong understanding of data architecture to facilitate data integration.
- Proficiency with data modeling tools such as ER/Studio, ER/Win, or similar.
- Hands-on 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 and apply new technologies.- Skills in data profiling and developing source-to-target mappings.
- Capable of provisioning and configuring Azure data services.
Detailed Skill Requirements:**
- Scripting in Python and SQL.
- Experience with SQL and PySpark.
- Solid understanding of cloud architecture designing and building data pipelines from requirements.
- API knowledge, with a preference for candidates capable of creating APIs.
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.
- Experience with AWS Glue, Azure Data Factory, AWS S3, and Azure Blob Storage.
- Familiarity with AWS Athena, Azure Databricks, AWS Redshift, and Azure Synapse.
- Knowledge of AWS ECS and Azure AKS.
Originally posted on Himalayas