Data Architect
在 Digital,我们不仅提供技术，而是提供未来！我们是探索者，知识猎人，科技士，解决问题和改变游戏的人，他们希望获得启发和灵感。我们的 digital 人员总是向前迈出一步：与顶级技术合作，创新先于市场趋势，分享寻找更好的方法的热情。作为一个以人类为中心的组织，我们的团队建立在相互尊重和开放的沟通上，让每个人都能够真实地表达想法并释放自己的潜力。我们自豪的是我们的 digital 聪明头脑，永远不会停止发展他们的技能，继续推进边界，做我们喜欢的事情。公司在全球范围内拥有1000名专家团队，遍布8个国家16个地点。企业建筑师负责设计和指导跨多种系统和环境的可扩展性，安全性和战略性的 IT 解决方案实施。该角色为全球团队提供架构领导力，确保技术决策符合组织的商业战略，企业标准和长期平台愿景。这一职位需要与开发团队，企业架构团队，安全和数据管理办公室密切合作以确保解决方案是强，可重复使用且符合企业标准。企业建筑师还评估新兴技术，推动采用最佳实践，并确保架构决策支持当前运营需求和未来业务扩张。这是你的工作：· 在多个项目中领导建筑和设计活动，为全球开发团队提供技术指导 · 为企业云和数据平台定义建筑标准，设计原则和最佳实践 · 使用微软 Azure 和现代数据技术设计可扩展的云和混合解决方案 · 指导实施 Data Lake 体系结构，包括 Databricks,数据建模以及 ETL/ELT 流程 · 定义 API,消息传递，批量处理和数据虚拟化中的集成模式 ·确保与安全，数据治理，性能和成本优化的要求保持架构一致 ·支持 DevOps,CI/CD,部署策略和运营最佳实践 ·评估包括微软织物在内的新兴技术，并建议对现有平台进行改进 · 与企业建筑合作
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At DIGITALL we dont just deliver technology we deliver the future! We are explorers, knowledge-hunters, tech geeks, problem solvers and game changers who want to inspire and be inspired. Our DIGITALL people are always one step forward: working with top-notch technologies, creating innovations ahead of the market trends, sharing the passion for discovering better ways. As a human-centric organization, our teams are built on mutual respect and open communication, allowing everyone to be authentic, express ideas and unleash their potential. We are proud of our DIGITALL bright minds and never stop developing their skills to keep pushing boundaries together and do what we love. DIGITALL operates globally with a team of 1000 experts in 16 locations across 8 countries.
The Enterprise Architect is responsible for designing and guiding the implementation of scalable, secure, and strategic IT solutions across multiple systems and environments. The role provides architectural leadership across global teams, ensuring that technology decisions align with the organization's business strategy, enterprise standards, and long-term platform vision.
The position requires close collaboration with development teams, enterprise architecture teams, security, and data management offices to ensure that solutions are robust, reusable, and compliant with enterprise standards. The Enterprise Architect also evaluates emerging technologies, drives adoption of best practices, and ensures that architecture decisions support both current operational needs and future business expansion.
This is your job:
- Lead architecture and design activities across multiple projects and provide technical guidance to global development teams
- Define architectural standards, design principles, and best practices for enterprise cloud and data platforms
- Design scalable cloud and hybrid solutions using Microsoft Azure and modern data technologies
- Guide the implementation of Data Lakehouse architectures, including Databricks, data modeling, and ETL/ELT processes
- Define integration patterns across APIs, messaging, batch processing, and data virtualization
- Ensure architectural alignment with security, data governance, performance, and cost optimization requirements
- Support DevOps, CI/CD, deployment strategies, and operational best practices
- Evaluate emerging technologies, including Microsoft Fabric, and recommend improvements to existing platforms
- Collaborate with Enterprise Architecture, Information Security, Data Management, and business stakeholders
- Develop architectural documentation, communicate technical decisions, and mentor engineering teams
- Identify and manage architectural risks while ensuring alignment with business and technology strategies
Your qualifications:
- Bachelor's degree in Computer Science, Engineering, or a related field
- Proven experience designing enterprise-scale cloud and data platform architectures
- Strong knowledge of Microsoft Azure services, including networking, identity, security, and analytics
- Practical experience with Azure Databricks, Unity Catalog, and Data Lakehouse architectures (Delta Lake, Iceberg, UniForm)
- Experience with analytical data modeling, including bronze, silver, and gold layers and dimensional modeling
- Strong understanding of ETL/ELT processes and technologies such as Azure Data Factory, Databricks, and dbt
- Experience with DevOps and CI/CD using Azure DevOps or GitHub Actions
- Knowledge of data integration patterns, APIs, messaging, and data virtualization technologies
- Proficiency in SQL and Python, with experience in relational databases such as PostgreSQL
- Understanding of data governance, security, metadata management, data quality, and lineage
- Familiarity with Microsoft Fabric, OneLake, Power BI, and modern analytics solutions
- Knowledge of platform monitoring, performance optimization, and cloud cost management
- Strong communication, problem-solving, documentation, and stakeholder management skills
Organizational information:
All applications will be treated in strict confidentiality.
Please note that only shortlisted candidates will be invited to an interview.
Originally posted on Himalayas