Data Streaming Architect

7 days ago

Gurgaon, India World Wide Technology Holding, LLC Full time

As a Data Streaming Architect, you will also be responsible for coaching and mentoring peers within WWT as the data practice grows and expands. Successful applicants must have the experience and capability to perform the following:

- Architecting, prototyping, and building data platforms using Apache Kafka, Kinesis, Azure Event Hub, or similar technologies (Kafka preferred).
- Understanding and configuring underlying data platforms (_g._, for performance, reliability, security) according to the needs of the client.
- Architecting and creating data schemas according to best practices for data in motion.
- Working with various disciplines (_g., _Data Science, Data Warehousing/BI, Operations, App Dev) and integrating their tools and process with data streaming platforms.
- Presenting to people with differing levels of technical knowledge (developers to CTOs) the value of data streaming platforms.
- Understanding, documenting, and diagramming complex systems.

**Requirements**:
The Data Streaming Architect is responsible for engaging the customer early, fully understanding their business objectives and technology problems, and providing industry leading guidance through their journey. Their wide range of skills and broad knowledge allow them to be thought leaders, providing value in almost any aspect of a project. Architects are self-motivated and are expected to uphold WWT's core values and contribute positively to developing the practice. Examples of the tasks and work of a Data Streaming Architect might include:

- Engaging customers during pre-sales, understanding their requirements, and delivering solutions.
- Acting as a trusted strategic advisor for all things related to data streaming.
- Providing guidance on when and how to utilize different data processing frameworks and tools.
- Working with businesses of all sizes, from Fortune 50 companies to startups.
- Working with other teams in WWT as a data streaming SME.
- Building tools, processes, and documentation to standardize the way we work.
- Providing thought leadership around the ever-changing landscape of data streaming technologies and architecture through blog posts and speaking opportunities.
- 8-15 years' of overall IT experience

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