Lead Data Architect

2 weeks ago

Singapore SOURCEO PTE. LTD. Full time

We are looking for a Lead Data Architect to help deliver robust, scalable, and future-proof data solutions across a range of industries. You will play a key role in designing data architectures and guiding project delivery, working closely with clients and internal teams to bring data strategies to life.

You’ll work under the direction of a Principal Architect or Head of Data, contributing technical leadership while remaining hands-on with solution design and implementation.

**How You’ll Make an Impact**:

- **Architecture & Implementation**:You design sophisticated architectures for data and AI projects, implementing them together with your team while inspiring your stakeholders.
- **Methodology & Concepts**:You possess a deep understanding of data platforms, data mesh, data security, and governance, along with a strong agile DevOps and DataOps mindset.
- **Cloud Expertise**:You feel at home in both cloud and on-premise environments. In the cloud, you design optimal solutions on AWS, Azure, and GCP.
- **Data Engineering**:You lead your team to success in flagship projects with solid data engineering knowledge, ensuring optimal data structures and pipelines.
- **ML Operationalization**:You take data and AI projects from prototype to production readiness, focusing on traceability, transparency, and reproducibility.
- **Thought Leadership & Consulting**:You promote understanding of AI and data technologies, share your knowledge both internally and externally, and assist in the development of young talents.

**What’s important to us**
- You bring solid expertise in AI and data solutions, along with a deep understanding of their possibilities and limitations.
- You have a passion for sustainable software architecture in data platforms and have taken on responsibility in technical mandates.
- With your confident demeanor and strong self-motivation, you take responsibility for projects and the further development of our data and AI competencies.
- Your architectural decisions consider non-functional requirements such as availability, flexibility, and security, as well as economic aspects and their impact on the code level.
- You are proficient in technologies such as Apache Spark, Kubernetes, Docker, SQL, and the data platform services of Azure, AWS and Databricks.

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