Data Architect

vor 1 Woche

Lausanne, Schweiz ELCA Vollzeit

ELCA is one of Switzerland’s biggest Information Technology Companies.

Since the company was founded in 1968, we have offered our customers a single source for the complete spectrum of IT services including consulting, development and operations.

Our team of over 1500 employees advises companies on the best use of modern information technologies, develops and implements efficient and stable solutions and applies our know-how to ensure excellence in use.

ELCA Engineering is growing and our Architecture team is looking for a Data Architect in our offices in Lausanne or in Geneva.

**In this role**:

- You will work with business and software engineering teams to build data platforms from the ground up, driven by concrete business use cases.
- You will guide teams through the end-to-end project lifecycle, covering the initial conception, business requirements, software architecture, implementation, and flawless delivery. You will be acting as a technical lead and coach for the more junior team members.
- You will provide technological and architectural consulting to our clients, create strategic roadmaps, and advise on their execution.
- You will support pre-sales on tender responses, proof-of-concept work, and the design of modern data platforms, both on premise and in the cloud.
- You will run group-wide thought leadership initiatives to advance our architectural practice and sustain our technical excellence.

**What we offer**:

- A stimulating and professional working environment in a dynamic team with extensive expertise
- Exciting projects and challenging problems to solve using the latest technologies
- Flat organizational hierarchies and cross-functional teamwork
- Close contact with customers in diverse industries
- A supportive culture with excellent opportunities for professional and personal development

**About your profile**:

- 6+ years of experience in designing and implementing large-scale data-intensive software solutions
- Hands-on experience in architecting big data systems and analytical pipelines covering data collection, data preparation and storage, data analysis and serving to data scientists or business users
- Solid knowledge of integration patterns and best practices such as synchronous vs. asynchronous communications, RESTful APIs, messaging, publish-subscribe
- Deep understanding of distributed systems, real-time vs. (micro-)batch processing and related design principles and patterns
- Solid knowledge of data-centric patterns, data modelling, query optimization on several storage solutions among SQL databases, document stores, graph databases, time-series databases, data warehouses
- Experience with one or several distributed streaming / processing platforms such as Kafka, Spark or cloud-based alternatives
- Strong knowledge of best practices and tooling for CI/CD pipelines, DevOps, automation, agile methods, automated testing, code quality
- Good communication skills, fluent in French or German, and in English

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