Position: Data Science Architect
Company: REW Technology
Experience required: 5y
Category: Lead
English level: upper
Published: 2023-07-01T00:00:00+03:00

REW Consulting Services successfully serves customers for more than a decade already. “REW Technology” concentrates on solutions design and implementation for various business needs for companies of mid to big sized companies.
REW is looking for Data Science Architect.
You’ll use your experience and expertise in data architecture to help our customers unlock the potential of their data. You’ll be able to bring this to life, explaining the value to your colleagues and customer.

Experience
- getting to the heart of our customers’ data challenges; explaining and documenting their needs and requirements, especially when it’s complicated and ambiguous
- discovering how data flow around an organisation and use your talent to create practical and valuable data engineering solutions and processes.
- knowing how important data quality is, you can explain this to customers and help to weed out poor quality data and prevent it from proliferating.
- understanding our customer’s business, the outcomes they are trying to achieve, and how our work fits into their wider business and strategy.
- sharing your expertise and experience by coaching and mentoring colleagues

Skills:
-subjects like data science, big data, AI, machine learning and other trends and innovations in data architecture.
-data architecture and governance principles and their part in the design process.
-information architecture and information life cycle management
what is needed for an effective data strategy.
-the tools, techniques and approaches to modelling data in complex scenarios.
-data engineering and the processes and systems around it: data quality and cleansing, data acquisition and data pipelines.
-data storage and processing and the related tools, techniques and systems.
-engaging with stakeholders and building strong relationships
-creating a data taxonomy and defining metadata in data architecture.
-levels of risk, impact, business complexity and technical complexity appropriate to the handling of data.

Other skills:
planning and managing your own activities
making sure we are delivering business value to the client and their customers
taking a methodical and considered approach to resolving complex problems
experience in international projects and working with remote teams.
working in Agile Software Development environment
excellent communication and interpersonal skills
strong verbal and written English skills